Machine Learning Conference Credentials

10 Best Machine Learning Certification for 2022

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• 1. Machine Learning with TensorFlow on Google Cloud Platform Specialization 1. Specialization comprises 5 courses and promises to take you from an overview of Machine Learning's importance to lectures about building ML models. The program consists of introductory-level lessons and covers what machine learning can and why it is so popular, followed by classes that focus on Tensorflow, an open-source . These sets of lectures aim to create, train, deploy ML models, solve numerical problems, and much more. There are also numerous hands-on opportunities to enhance the accuracy of ML using the various features available on the Google Cloud Platform.Registration: Every 2 months on CourseraFee: [Financial Aid Available]Course Duration: 5 monthsMode of Teaching: OnlinePrerequisites: Computer science or engineering background.
• 2. Professional Certificate Program in Machine Learning and Artificial Intelligence 2. The course is highly recommended for professionals and undergraduates to shape their careers. The course ensures businesses and individuals have an education and necessary training to succeed in the AI-powered future.
• 3. Machine Learning with Python 3. This course covers the basics of machine learning using a well-known , Python. The course reviews two main components: First, learning about Machine Learning's purpose and where it applies to the real world.Second, it provides a general overview of Machine Learning topics such as supervised vs. unsupervised learning, model evaluation, and Machine Learning algorithms.Registration: throughout the year.Fee: FreeCourse Duration: 8 weeksMode of Teaching: OnlinePrerequisites: Python
• 4. Machine Learning Stanford Online 4. The course provides a broad introduction to statistical pattern recognition and machine learning. Differentiates between as well as learning theory, reinforcement learning, and control. Explores recent applications of machine learning and design and develops algorithms for machines.Registration: August -SeptemberFee: $5040Course Duration: 3 monthsMode of Teaching: OnlinePrerequisites: Computer science or engineering background.
• 5. Machine Learning at Udacity 5. The course consists of two modules to discuss various types of machine learning.The first module covers Supervised Learning, a machine learning task that trains for your email to filter spam, your phone to recognize your voice, and for computers to learn a bunch of other cool stuff..large-leaderboard-2-multi-128{border:none!important;display:block!important;float:none;line-height:0;margin-bottom:15px!important;margin-left:0!important;margin-right:0!important;margin-top:15px!important;max-width:100%!important;min-height:250px;min-width:250px;padding:0;text-align:center!important}The second module teaches about Unsupervised Learning. Ever wonder how Amazon knows what you want to buy before you do? Or how can Netflix predict what movies you'll like? This section answers such questions.Finally, it answers, can we program machines to learn like humans? This Reinforcement Learning section teaches algorithms for designing self-learning agents like us!Registration: throughout the year on UdacityFee: FreeCourse Duration: 4 monthsMode of Teaching: OnlinePrerequisites:
• 6. Professional Certificate in Foundations Of Data Science 6. The course provides a new lens through which to explore issues and problems. It teaches us to combine data with to explore encountered problems in any field of study or a future job. The program also helps aspiring teach them how to analyze a diverse array of real data sets, including geographic data, economic data, and social networks. The course also teaches inference, which helps to quantify uncertainty and measures the accuracy of your estimates. Finally, all the knowledge is put together and to teach prediction with the help of machine learning. The program aims to make data science accessible to everyone.Registration: 2-4 months on edXFee: $267Course Duration: 4months(self-paced)Mode of Teaching: OnlinePrerequisites: This course is specifically designed for beginners who do not have any computer or statistics background and no programming experience
• 7. Certification of Professional Achievement in Data Sciences 7. Multiple courses such as algorithms for data science, machine learning for data science, probability, and statistics, exploratory are covered in this course. This course is suited for candidates having prior knowledge in statistics, linear algebra, probability, & calculus. Programming. The certification prepares students to expand their career prospects or change career paths by developing foundational data science skills.Registration: Deadline February 15 for FallFee: $24,216Course Duration: 12 monthsMode of Teaching: Online and CampusPrerequisites:Undergraduate degreePrior quantitative coursework (calculus, linear algebra, etc.)Prior introductory to computer programming coursework
• 8. eCornell Machine Learning Certificate 8. Cornell’s Machine Learning certificate program equips to implement machine learning algorithms using Python. Using a combination of math and intuition, students learn to frame machine learning problems and construct a mental model to understand data scientists' approach to these problems programmatically. Implementation of concepts such as k-nearest neighbors, naive Bayes, regression trees, and others are explored with various machine learning algorithms.The program allows implementing live data algorithms while practicing debugging and improving models through support vector machines and ensemble methods. Finally, the coursework explores the inner workings of neural networks and how to construct and adapt neural networks for various data types.This program uses Python and the NumPy library for code exercises and projects. Projects are completed using Jupyter Notebooks.Registration: throughout the yearFee: $3,600 or $565/monthCourse Duration: 3.5 monthsMode of Teaching: OnlinePrerequisites: Python
• 9. Certificate in Machine learning 9. This three-course certificate program examines all aspects of machine learning. Concepts like probability and statistical methods at the core of machine learning algorithms are taught in this course. It also practices ways to apply these techniques, using open-source tools and developing judgment and intuition to address actual business needs and real-world challenges.Registration: throughout the yearFee: $4,548Course Duration: VariesMode of Teaching: OnlinePrerequisites:
• 10. Harvard University Machine Learning 10. This course teaches principal component analysis, popular machine learning algorithms, and regularization by building a movie recommendation system.The course teaches about training data and how to use a set of data to discover potentially predictive relationships. By building the movie recommendation system, students learn how to train algorithms using training data to predict the outcome for future datasets. The course also teaches overtraining and techniques to avoid it, e.g., cross-validation.Registration: throughout the year on edXFee: FreeCourse Duration: 8 weeksMode of Teaching: OnlinePrerequisites: Python

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Machine Learning Conferences 2022/2023/2024

2 hours ago Machine Learning Conferences 2022/2023/2024 is an indexed listing of upcoming meetings, seminars, congresses, workshops, programs, continuing CME courses, trainings, summits, and weekly, annual or monthly symposiums. Machine Learning Conferences 2022/2023/2024 lists relevant events for national/international researchers, scientists, scholars, professionals, …
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What Are The Best Machine Learning Conferences in 2021

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• 1. ICML | 2021 – The Thirty-eighth International Conference on Machine Learning 1. When: Sun Jul 18th through Sat the 24th 2021 Expo Sun Jul 18thConference Sessions, Tutorials, Workshops and Expo Sun Jul 18th through Sat the 24th Where: Virtual only Pricing: To be announced. Registration starts Apr 13 The International Conference on Machine Learning (ICML) is one of the best machine learning conferences. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.
• 2. ML Conference 2021 2. When: June 21 – 23, 2021; EXPO: June 22 – 23, 2021 Where: Munich or online Pricing: Prices start at € 669-1239 Team Discount: Register 3+ colleagues and get 10 % off2-in-1 conference special if you buy an ML Conference ticket and get free access to the IoT ConferenceExtra Special: Freelancers and employees of scientific institutions receive individual special conditions The Conference for Machine Learning Innovation. At this conference, you can learn about the applications of machine learning in business. This year because of the pandemic the conference has a hybrid form, you can either attend it in person or online. Livecoding and direct application of new ideas, sessions, keynotes and interesting talks of international speakers from the business industry and science, networking with people from a wide range of industries – you can take part in all these events, learn and meet professionals that can help you advance in your career. Additionally, you get an official Machine Learning Conference certificate, certifying your participation. Speakers: Thomas Chen, Academy for Mathematics, Science, and EngineeringProf. Debjyoti Paul, AmazonLaurent Picard, GoogleDr. Pieter Buteneers, Sinch
• 3. Ai4 3. When: August 17-19, 2021 Where: The event has a digital form Pricing: You can apply for the free pass if you’re working at an organization with 250+ employees, holding a senior-level position and/or technical role, not having a sales interest in our audience (or work for a company that does). Over three days, the Ai4 2021 Summit brings together business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning technology. The conference gathers speakers from the world’s most innovative companies who are actively involved in AI projects – leaders of enterprise from across the industry, government organizations, disruptive startups, investors, research labs, academia, associations, open-source projects, media, and analysts. During the conference, you can learn about the latest AI trends in business. Ai4 is one of the best machine learning conferences every AI lover should attend
• 4. Data & Analytics Summit VIC 2021 4. When: May 6, 2021 Where: Australia Pricing: Prices vary at $495.00 – $1,495 This conference provides in-depth insights and use cases examining how organizations are capitalizing on their AI strategy and development. It brings together AI technology thought leaders and experts to enable AI-driven strategies to ultimately drive your organization into the future of Artificial Intelligence.  It’s a professional event dedicated to Chief Information Officers, Heads of AI/ ML, Heads of Innovation, and Heads of Data Science. Key speakers: Jonathan Robinson – Head of Data & Analytics, ANZ BankUjwal Kayande – Director at Centre for Business Analytics, Melbourne Business SchoolJanice Carey – Head of Customer Data & Analytics, BupaSveta Freidman – Director Data Analytics, Carsales.comGiovanni Butera – CEO & MD, Nixora Group
• 5. GOTO Chicago 2021 – The International Software Development Conference 5. When and where: Apr 2021 (Not Final), Chicago The International Software Development Conference brings together software developers, IT architects and project managers. GOTO Conferences is a series of software development conferences designed for developers, team leads, architects and project managers. Each event is organized for developers by developers. Because of the pandemic, the conference might not happen so make sure to check online for updates.
• 6. ICLR | 2021 – Ninth International Conference on Learning Representations 6. When: Tue May 4th through Sat the 8th Where: Virtual only (formerly Vienna) Pricing: Pricing starts at $650 Ninth International Conference on Learning Representations is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, generally referred to as deep learning. ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics. Participants at ICLR span a wide range of backgrounds, from academic and industrial researchers to entrepreneurs and engineers, to graduate students and postdocs. READ ALSO 👉 👉 👉
• 7. LOD2021 – The 7th International Conference on Machine Learning, Optimization, Data Science 7. When: October 5 – 8, 2021 Where: Grasmere, Lake District, England – UK and online Pricing: The early onsite registration fee is 580 Euro (not later than Saturday July 10, 2021); the late onsite registration fee is 630 EuroThe early online registration fee (for virtual attendance only) is 290 Euro (not later than Saturday July 10, 2021); the late online registration fee is 340 Euro (from July 11, 2021). The 7th  Annual Conference on machine Learning, Optimization and Data science (LOD) is an international conference on machine learning, computational optimization, big data and artificial intelligence. The conference includes invited talks, tutorials talks, specialised sessions, industrial tracks, demonstrations, oral and poster presentations of refereed papers. The LOD has established itself as a premier interdisciplinary conference in machine learning, computational optimization, data science and AI. It provides an international forum for the presentation of original interdisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences. Keynote speakers: Verena Rieser, Heriot Watt University, UKIoannis Antonoglou, DeepMind, UKPaige Bailey, Google, USAPanos Pardalos, University of Florida, USAAnd more to be announced
• 8. ICAPAI 2021: International Conference on Applied Artificial Intelligence 8. When: May 19-21, 2021 Where: Online Pricing: The International Conference on Applied Artificial Intelligence (ICAPAI 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning in Industrial/Real-World settings. ICAPAI 2021 welcomes papers in all sub-areas of artificial intelligence and machine learning. The conference aims to provide a platform to researchers and practitioners from both academia and industry to meet and share information about cutting-edge developments in the field. > You can also join a free ICAPAI one-day webinar on September 17th, 10:00 CET!  Five keynote speakers, hosts, and panelists provide an overview of applied AI in a variety of application domains.
• 9. IntelliSys 2021 9. When: 2-3 September 2021 Where: Amsterdam, The Netherlands | Virtual + Onsite Pricing: Author – £650 (Onsite), GBP £400 (Virtual); Participant – £550 (Onsite), £300 (Virtual) Intelligent Systems Conference (IntelliSys) 2021 will focus on areas of intelligent systems and artificial intelligence (AI) and how it applies to the real world. IntelliSys is one of the best respected Artificial Intelligence (AI) Conference. IntelliSys provides a leading international forum that brings together researchers and practitioners from diverse fields with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Artificial Intelligence (AI). The goal of the conference is to be a premier venue for researchers and industry practitioners to share new ideas, research results and development experiences in various fields. Keynote speakers: Elias Fallon (Engineering Group Director, Cadence Design Systems)
• 10. COLT 2021 – Conference on Learning Theory 10. When:  July 7–10, 2021 Where: Boulder, Colorado (and/or online, if necessary) Pricing: The 34th Annual Conference on Learning Theory (COLT 2021) gathers professionals from the field of machine learning and it’s a great chance to learn about the latest discoveries and learn from the experts. Keynote speakers: Sara van de Geer (ETH Zurich)David Silver (DeepMind)Éva Tardos (Cornell University)Persi Diaconis (Stanford University)
• 11. GECCO 2021 – The Genetic and Evolutionary Computation Conference 11. When: July 10-14, 2021 Where: Online-only Conference Pricing: Prices vary from free access to $400 and depend on whether you’re a presenter or a participant The Genetic and Evolutionary Computation Conference (GECCO) presents the latest high-quality results in genetic and evolutionary computation since 1999. Topics include: genetic algorithms, genetic programming, ant colony optimization and swarm intelligence, complex systems (artificial life, robotics, evolvable hardware, generative and developmental systems, artificial immune systems), digital entertainment technologies and arts, evolutionary combinatorial optimization and metaheuristics, evolutionary machine learning, evolutionary multiobjective optimization, evolutionary numerical optimization, real world applications, search-based software engineering, theory and more.
• 12. The Data Science Conference 12. When: 14-15 October 2021 Where: Boston, MA, USA Pricing: Pricing starts at $900 Interestingly, this is the only sponsor-free, vendor-free, and recruiter-free data science conference. Because of the no pictures/recording/broadcasting policy, the conference has  earned the reputation of a secure venue for speakers to share information otherwise they may have not.
• 13. KDD 2021 13. When: August 14-18 Where: Singapore The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. > For more information, you can sign up for the newsletter on the conference website.
• 14. 47th International Conference on Very Large Data Bases 14. When: August 16-20, 2021 Where: Copenhagen, Denmark and Virtual VLDB is a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users. The VLDB 2021 conference will feature research talks, tutorials, demonstrations, and workshops. It will cover issues in data management, database and information systems research, since they are the technological cornerstones of the emerging applications of the 21st century.
• 15. ACL-IJCNLP 2021 Conference 15. When:  August 1-6, 2021 Where: Berkeley Hotel in Bangkok, Thailand The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). As in previous years, the program of the conference includes a poster session, tutorials, workshops and demonstrations in addition to the main conference.
• 16. ECML PKDD 2021 16. When: 13-17 September Where: Online only The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. This event is the premier European machine learning and data mining conference and builds upon over 19 years of successful events and conferences held across Europe. The conference provides an international forum for the discussion of the latest high-quality research results in all areas related to machine learning, data mining, and knowledge discovery. READ NEXT 👉 👉
• 17. Open Data Science Conference (ODSC) 17. (ODSC) The Open Data Science Conference gathers the attendees, presenters, and companies that are shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists, with major conferences in the USA, Europe, and Asia. When and where: East 2021 – Virtual Training Conference Mar 30th – Apr 1stEurope 2021 – Virtual Conference, Jun 8th – Jun 10thWest 2021  – San Francisco, Nov 15th – Nov 18thAPAC 2021 – Conference, December 2021
• 18. Ai X Summit – ODSC East 18. – ODSC East When: Mar 30th – Apr 1st Where: Boston, MA Pricing: Prices start at $99 The Accelerate AI conference series is where executives and business professionals meet the best and brightest innovators in AI and Data Science. The conference brings together top industry executives and CxOs to help you understand how AI and data science can transform your business.  Industries covered include Finance, Healthcare, Biotech, Pharma, Energy, Manufacturing, Retail,  Marketing, Transportation and more. Keynote speakers: Mark Weber – Applied Research Scientist, MIT-INM Watson AI LabSerena Yeung, PhD – Assistant Professor of Biomedical Data Science, Stanford UniversityRich Dutton – Head of Corporate Engineering, GoogleAnd many more
• 19. DSS Virtual Salon + BONUS from Neptune! 19. + BONUS from Neptune! When: May 4-5: DSSVirtual | Media, Advertising & EntertainmentJuly 12-16: DSSVirtual at VBTransformAug 25: DSSVirtual | Sep 9: DSSElevate | Sep 13-17: Dec 1-2: DSSVirtual | Where: Online / Hybrid conference Pricing: Prices start at $55 with discounts We have a 20% discount on all tickets for the virtual events for you! Feel free to use the below code and enjoy these great conferences! NeptuneVIP The data science salon is a unique vertical focused conference that grew into a diverse community of senior data science, machine learning, and other technical specialists. The conference gathers face-to-face and virtually to educate each other, illuminate best practices and innovate new solutions in a casual atmosphere. Learn from practitioners, technical experts, and executives how to solve real-world problems by harnessing disruptions in data, artificial intelligence, machine learning, and cutting-edge technologies. Each ticket comes with one month of access to DSS Insider, the content repository for all Data Science Salons. Keynote speakers from companies, such as: BloombergS&P GlobalWells FargoJohnson & JohnsonShopifyThe New York Times
• 20. IJCAI 2021 20. When: 21st -26th August, 2021 Where: Montreal, Canada The 30th International Joint Conference on Artificial Intelligence (IJCAI-21). There’s still not much information about the conference so make sure to check the website for regular updates. For now, there’s the call for papers that’ll be presented at the conference.
• 21. EACL 2021 21. 2021 When: 19-23 April, 2021 Where: Online conference The 16th conference of the European Chapter of the Association for Computational Linguistics (EACL). As in previous years, the program of the conference includes poster sessions, tutorials, workshops, and demonstrations in addition to the main conference. As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language. Keynote speakers: Melanie Mitchell, Santa Fe InstituteFernanda Ferreira, University of California, DavisMarco Baroni, Pompeu Fabra University
• 22. NAACL 2021 22. When: June 6–11, 2021 Where: Mexico City, Mexico Conference hosts are monitoring the ongoing global pandemic and will update the conference plans (e.g. moving to a virtual or hybrid format) as needed closer to the conference dates.) 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics consists of workshops with experts of the machine learning.
• 23. EMNLP 2021 23. When: 7th – 11th November 2021 Where: The conference will probably take place in the Dominican Republic, but the organizers are prepared to hold it online depending on the development of the situation with covid-19. The 2021 Conference on Empirical Methods in Natural Language Processing. As in recent years, some of the presentations at the conference will be for papers accepted by the Transactions of the ACL (TACL) and Computational Linguistics (CL) journals. During this conference you’ll be able to participate in numerous interesting workshops.
• 24. CVPR 2021 24. When: 19-25 June, 2021 Where: Due to the continuing impact and future unpredictability of the COVID-19 pandemic, CVPR 2021 is moving to a virtual event. CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
• 25. Re-Work Events in Artificial Intelligence 25. Re-Work hosts several events, all dedicated to different areas of AI. Regular speakers at the events include tech giants Google, Apple, DeepMind, Amazon and Facebook, as well as world-renowned academic institutions, government leaders, startups and investors. They also provide an analysis of current trends through podcasts, white papers and video interviews. > Follow .
• 26. NeurIPS | 2021 26. When: November 27 – December 5, 2021 Where: Location to be announced shortly so make sure to check the official website for updates The purpose of the Neural Information Processing Systems annual meeting is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in the general session, along with invited talks by leaders in their field.  There is an Expo, where top industry sponsors give talks, panels, demos, and workshops on topics that are of academic interest;  tutorials, which cover a broad background on current lines of inquiry, meetings, and more.
• 27. ICCV 2021 27. When: October 11th – October 17th, 2021 Where: Montreal, Canada ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
• 28. ICRA 2021 28. When: May 30 – June 5, 2021 Where: The IEEE ICRA 2021 will be held in a hybrid format, including both on-site and cloud meetings The ICRA 2021 conference promises to be a great event with excellent technical and social programs. There will be original research results on all aspects of robotics and automation, tutorials and workshops, and organized sessions, on new topics or innovative applications. There will also be exhibits from both industries and research laboratories are welcome. 
• 29. ICASSP 2021 29. When: 6-11 June 2021 Where: Formally Toronto, Ontario, Canada, however, due to the pandemic situation, it’ll be fully virtual The international Conference on Acoustics, Speech, & Signal Processing (ICASSP), is the IEEE Signal Processing Society’s flagship conference on signal processing and its applications. The programme will include keynotes by pre-eminent international speakers, cutting-edge tutorial topics, and forward-looking special sessions. ICASSP also provides a great networking opportunity with a wide range of like-minded professionals from academia, industry and government organizations. Keynote speakers: Karl FristonManuela M. Veloso, Head of J.P. Morgan AI ResearchBernhard Schölkopf
• 30.  IROS 2021 30. When: September 27 – October 1, 2021 Where: Prague, Czech Republic  International Conference on Intelligent Robots and Systems. The forthcoming IROS 2021 conference aims at creating opportunities to meet, discuss, and become familiar with the most recent advances in the field of robotics, autonomous and intelligent systems, human-compliant robots, medical robotics, and many more. IROS 2021, as ever before, will include a large robotic exhibition as an essential part of the event.
• 31. IEEE CoG 31. When: 17-20 August, 2021 Where: IT University of Copenhagen The Conference on Games (CoG) evolves from the traditional Computational Intelligence and Games (CIG) to bring together leading researchers and practitioners from academia and industry in the field of Games, to discuss recent advances and explore future directions. IEEE CoG 2021 will include presentations of peer-reviewed papers, invited talks by high-profile industry and academic leaders, panels, posters and demos.
• 32. SIGGRAPH 2021 32. When: Check the official website for latest updates Where: Virtual only SIGGRAPH is celebrating 48 years of advancements in computer graphics and interactive techniques. This year in the virtual environment, the organizers aim to create a high-quality experience that will feature breakthroughs in research and technology, speakers who will inspire and push the field forward, and a community that will collaborate and enjoy all that has been achieved and what is now possible. The topics cover such topics as computer graphics, digital art, animation, visual effects, machine learning, artificial intelligence, immersive and mixed realities, scientific visualization, and more.
• 33. IEEE ICDM 2021 33. When: 7-10 December, 2021 Where: ICDM 2021 is preliminarily planned to be held in Auckland, New Zealand. However, due to the changing circumstances derived from the COVID-19 pandemic, the format may be updated to virtual only or hybrid format. Check the official website for updates..  The IEEE International Conference on Data Mining (ICDM)  covers all aspects of data mining, including algorithms, software, systems, and applications.  ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as big data, deep learning, pattern recognition, statistical and machine learning, databases, data warehousing, data visualization, knowledge-based systems, and high-performance computing. By promoting novel, high-quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to advance the state-of-the-art in data mining.
• 34. ICDM 2021 34. When: July 14-18, 2021 Where: New York, USA The Industrial Conference on Data Mining ICDM is held on yearly basis. Researchers from all over the world will present theoretical and application-oriented topics on Data Mining.  Topics include IIndustrial Exhibition · Best-Paper-Award for Talks and Posters · Workshops: Case-Based Reasoning CBR-MD, DM in Marketing DMM, and B2ML I-Business to Manufacturing and LifeSciences – The Internet of Things and Services.
• 35. IJCNN 2021 35. When: 18-22 July, 2021 Where: Virtual only The International Joint Conference on NEural Networks (IJCNN) covers a wide range of topics in the field of neural networks, from biological neural networks to artificial neural computation. It’s one of the most popular conferences on machine learning. Keynote speakers: Marios M. PolycarpouProfessor Karl J. FristoRiitta SalmelinPeter TinoAnd more
• 36. ICANN 2021 36. When: 14-17 September 2021 Where: Bratislava The 30th International Conference on Artificial Neural Networks. A conference of the European Neural Network Society.  The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.
• 37. ICIAP 2021 37. When: 13-17 September, 2021 Where: Lecce, Italy ICIAP 2021 is the 21st edition of a series of conferences organized every two years by the Italian Association for Research in Computer Vision, Pattern Recognition and Machine Learning (CVPL, ex GIRPR) which is part of the International Association for Pattern Recognition (IAPR). The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and applicative aspects Keynote speakers: Prof. Larry S. Davis – University of Maryland & Amazon, USAProf. Roberto Cipolla – University of Cambridge UKProf. Dima Aldamen – University of Bristol UKProf. Dr. Laura Leal-Taixe – Technische Universität München GE
• 38. ICONIP2021 38. When: December 8 – 12, 2021 Where: Bali, Indonesia Pricing: Prices vary at  $250-$800 The 28th International Conference on Neural Information Processing (ICONIP2021) aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progresses and achievements.
• 39. SIGIR 2021 39. When: July 11-15, 2021 Where: Online only The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR is the premier international forum for the presentation of new research results and for the demonstration of new systems and techniques in information retrieval. The conference consists of five days of full papers, short papers, resource papers, demonstrations, tutorials, workshops, doctoral consortium papers, and perspectives papers focused on research and development in the area of information retrieval, as well as an industry track and social events.
• 40. AISTATS 2021 40. When: April 13 – 15, 2021 Where: Online only The 24th International Conference on Artificial Intelligence and Statistics. Since its inception in 1985, AISTATS has been an interdisciplinary gathering of researchers at the intersection of artificial intelligence, machine learning, statistics, and related areas.
• 41. UAI2021 41. When: Main conference: July 27th – July 29th, 2021; Workshops: July 30th, 2021 Where: Online The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI). The conference has been held every year since 1985. 
• 42. IEEE – ICIP 42. When: 9-22 September 2021  Where: Anchorage, Alaska, USA The 28th IEEE International Conference on Image Processing (The IEEE ICIP) is the world’s largest and most comprehensive technical conference focused on image and video processing and computer vision. This conference will showcase world-class plenary speakers, tutorials, exhibits, special sessions, industry sessions, and women in engineering that creates an excellent forum to foster innovation and entrepreneurship. There will be opportunities to network with the brightest minds in academia and industry from this field. In addition, several events targeting students and professionals will also be featured at IEEE ICIP 2021.
• 43. INTERSPEECH 2021 43. When: 30 August – September 2021 Where: Hybrid Brno (in Czechia) Interspeech with a back-up option of fully virtual one. The purpose of the association that organizes the conference is to promote, in an international world-wide context, activities and exchanges in all fields related to speech communication science and technology.  The association is aimed at all persons and institutions interested in fundamental research and technological development that aims at describing, explaining and reproducing the various aspects of human communication by speech, that is, without assuming this enumeration to be exhaustive, phonetics, linguistics, computer speech recognition and synthesis, speech compression, speaker recognition, aids to medical diagnosis of voice pathologies.
• 44. AIxIA 44. When: 18-19 November 2021 Where: Online This conference will be hosted by the in cooperation with for the third time. This year, the conference’s key topic will be “AI of Things” and it will be organized online while also having a hybrid component. Organizers are expecting attendees from Germany, France, and all over the World to congregate for the event – including IT decision-makers, business and technology experts, start-ups and innovators as well as political decision-makers. High-class speakers from all over the world will speak about the topic of Artificial Intelligence of Things, including data spaces in AI, cybersecurity, and edge AI. Furthermore, there will be interactive workshops with more than 10 hours of high-quality input and networking events. The audience will learn about the possibilities with AI, how they can implement it and what they need for successful usage.
• 45. NVIDIAs GTC Conference 45. When: November 8-11, 2021 Where: Online Price: Free NVIDIA GTC is an AI conference for innovators, technologists, and creatives. It will feature over 500 talks from leaders in AI/ML, Data Center, Networking, Graphics, Autonomous Vehicles, and more. Registration is FREE. Key Speakers: Jensen Huang, CEO, NVIDIAFei-Fei Li, Professor of Computer Science, Stanford UniversityKeith Perry, CIO, St. Jude Children’s Research HospitalVenkatesh Ramanathan, Director of Data Science, PayPalTim Sweeney, Founder and CEO, Epic GamesVijay Narayanan, Chief AI Officer, ServiceNow
• 46. 5th Annual Toronto Machine Learning Summit 46. When: November 15-18, 2021 Where: Online The TMLS initiative is dedicated to helping promote the development of AI/ML effectively, and responsibly across all Industries. As well, to help data practitioners, researchers and students fast-track their learning process and develop rewarding careers in the field of ML and AI. The organizers strive to advance your working potential of ML/AI through shared: WorkshopsInteractive Conference PresentationsP2P NetworkingCareer Opportunities and Hiring And the 2021 key themes include: Transfer LearningFeature EngineeringFeature Store Design and MaintenanceTransformersExplainabilityModel MonitoringMLOpsReal business impact case studies in Finance, Insurance, Security, Retail, Telecomm and much more! Speakers include Senior Leader, Researchers from Vector, CIFAR, Google, Apple, LinkedIn, HuggingFace, Facebook AI, and more.

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Certification: AI and Machine Learning Professional

7 hours ago Validating your machine learning and AI skills with SAS credentials can help you propel your career and make you marketable in a field that’s hungry for analytics and AI talent.

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Top Computer Science Conferences for Machine Learning

1 hours ago Top Computer Science Conferences for Machine Learning, Data Mining & Artificial Intelligence . The top conferences ranking for Computer Science was developed by Research.com, one of the prominent portals for computer science research offering reliable data on …

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The Machine Learning Conference – The ML Conference

11 hours ago Professionals across many industries and professions attend the MLconf machine learning conference to stay current on today’s application of machine learning techniques and practices. Individuals with backgrounds in Data Science, Engineering, Software, Computer Vision, Research, Machine Learning, Technical Leadership, Co-Founders of Startups, Professors and …
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Classification of Water Potability Using Machine Learning

11 hours ago K-fold cross credentials are used to evaluate our machine learning model. Results obtained in the decision tree algorithm have the best results in the configuration with an accuracy value of 97.23%. Published in: 2021 International Conference on Artificial Intelligence and Big Data Analytics

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Credentials - Katherine Gorman

2 hours ago She is also the founding Executive Producer and co-host of the machine intelligence podcast, Talking Machines. She has served as press co-chair for both the Neural Information Processing Systems Conference and the International Conference on Machine Learning. Education. Bachelor of Arts, Political Science, 2004-2008 University of Michigan

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Machine Learning Conferences in France 2022/2023/2024

2 hours ago Machine Learning Conferences in France 2022 2023 2024 is for the researchers, scientists, scholars, engineers, academic, scientific and university practitioners to present research activities that might want to attend events, meetings, seminars, congresses, workshops, summit, and …
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Azure Machine Learning Essentials Series Open Data

9 hours ago Azure Machine Learning. The Azure Machine Learning service empowers data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning.

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Machine Learning Course - UCLA Extension

8 hours ago Machine learning algorithms can be divided into two main groups: supervised learners who are used to construct predictive models and unsupervised learners who are used to build descriptive models. Students learn the classification, numeric predictor, pattern detection, and …

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2021-2022 International Conferences in Artificial

1 hours ago 2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
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Global Big Data Conference

6 hours ago 1. Open CV. The open-source computer vision library, Open-CV, is your best friend when it comes to images and videos. It offers great efficient solutions to common image problems such as face detection and object detection. Or, as we can see below, Edge detection, the process of detecting various lines inside an image.

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Detection of Authentication Events Involving Stolen

3 hours ago Speakers cast the detection of such authentication events as a classification problem and demonstrate our machine learning-based approach’s scalability and reliability on a Los Alamos National Labs data set. Learning Objectives: 1: Learn that reliable near-time detection of stolen credentials is feasible.

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DirectTrust developing standard for voluntary national

11 hours ago Mar 15, 2022 . DirectTrust has launched an initiative to develop a new standard to support a voluntary nationwide patient credential and matching ecosystem. DirectTrust is a non-profit healthcare industry alliance created to support secure, identity-verified electronic exchanges of protected health information.

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Eavesdropping user credentials via GPU side channels on

8 hours ago Eavesdropping user credentials via GPU side channels on smartphones. February 2022. DOI: 10.1145/3503222.3507757. Conference: ASPLOS '22: 27th ACM International Conference on Architectural Support ...

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Machine Learning at Microsoft with ML.NET Proceedings of

7 hours ago Machine Learning is transitioning from an art and science into a technology available to every developer. In the near future, every application on every platform will incorporate trained models to encode data-based decisions that would be impossible for developers to author.

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The use of machine learning algorithms for image recognition

3 hours ago The article presents a way of using machine learning algorithms to recognize objects in images. To implement this task, an artificial neural network was used, which has a high adaptability and allows work with a very large set of input data. The neural network was described using a program written in the MATLAB simulation environment. The basic problem faced by the designer of …
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Smash Neutral Game and Insights from Machine Learning

10 hours ago We will be unraveling the Luigi - Marth matchup in Super Smash Bros Melee. SSBM has become incredibly optimized in the 20 years since its release, and we will talk about the process of distilling a competitive game to some foundation, build some data structures to model system on top of that foundation, and then implement various machine learning algorithms to estimate …

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