Machine learning (ML) is the area of artificial intelligence (AI) that focuses on how algorithms "learn" and build on previous knowledge. This emerging technology is already a big part of modern life, such as the automation of various tasks and voice-activated technologies.
ML is closely linked to big data, computer vision, data mining, data analytics, and various other aspects of data management. That’s why machine learning events are a hot destination for data scientists, academia, IT professionals, and even business leaders who want to explore how ML can help their companies — from startups to huge enterprises — grow and adapt.
Below we list 12 of the most anticipated machine learning conferences of 2023 and why you may want to attend.
Table of Contents
- 4th International Conference on Natural Language Processing and Machine Learning (NLPML 2023)
- Machine Learning for Healthcare 2023
- International Conference on Neural Information Processing Systems 2023
- International Conference on Big Data and Smart Computing (BigComp 2023)
- World Data Summit 2023
- AI & Big Data Expo 2023
- ML Conference 2023
- Data Science Salon Hybrid 2023
- International Conference on Machine Learning (ICML 2023)
- International Conference on Machine Learning and Applications (ICMLA 2023)
- Data Innovation Summit ANZ 2023
- Ai4 2023
1. 4th International Conference on Natural Language Processing and Machine Learning (NLPML 2023)
Dates: May 20-21, 2023
Location: Zurich, Switzerland (in-person and online)
Natural language processing (NLP) means being able to communicate with machines in much the same way we do with each other. The fourth annual International Conference on NLPML is a fairly new machine learning and AI conference that explores this field and how machine learning helps us get closer to true NLP.
Specific program details haven’t yet been released. Data professionals and academic heads had until January 7 to submit papers and topic suggestions to this event. Based on last year’s accepted papers, this is a desirable destination for anyone interested in the various applications of machine learning and natural language computing.
Price: TBA. Registration opens in early 2023
2. Machine Learning for Healthcare 2023
Dates: August 11-12, 2023
Location: Columbia University, New York, NY (in-person and papers available online)
Machine Learning for Healthcare (MLHC) is an industry-specific conference on machine learning that brings together big data experts, technical AI and ML experts, and a range of healthcare professionals to explore and support the use of increasingly complex medical data and analytics.
This year’s agenda has not been determined yet, but the organizers are looking for professionals to submit papers either on clinical work or software and demos. The submission deadline is April 12, 2023. Last year’s 2022 MLHC event included fascinating subjects, such as risk prediction in medical data, EHR contextual data, algorithm development, sources of bias in artificial intelligence (AI), and machine learning data quality assurance.
Price: Prices start at $350 for early bird registration.
3. International Conference on Neural Information Processing Systems (ICNIPS 2023)
Dates: February 16-17, 2023
Location: Dubai, UAE (online)
Machine learning and deep learning have a variety of use cases, from the identification of rare species to facial recognition. ICNIPS is an event that encourages academic experts and university/research students to explore neural information processing and to share their experiences and successes.
The agenda for 2023 includes a large number of paper submissions on various related topics. Authors include those who have used machine learning in the areas of soil science, career guidance, and crime prediction and prevention.
Price: Registration starts at €250 ($266).
4. International Conference on Big Data and Smart Computing (BigComp 2023)
Dates: February 13-16, 2023
Location: MasonGlad Hotel in Jeju, Korea (in-person)
The International Conference on Big Data and Smart Computing is a popular event put on by the Institute of Electrical and Electronics Engineers (IEEE). Its goal is to provide an international forum for researchers, developers, and users to exchange ideas and information in these emerging fields.
Topics include machine learning, AI for big data, and a variety of data science subjects ranging from communication and data visualization to bioinformatics. You can attend any of the following workshops: Big Data and Smart Computing for Military and Defense Technology, IoT Big Data for Health and Wellbeing, Science & Technology Policy for the 4th Industrial Revolution, Big Data Analytics using High Performance Computing Cluster (HPCC) Systems Platform, and Dialog Systems.
Price: Prices start at $250 for early registration.
5. World Data Summit 2023
Dates: May 17-19, 2023
Location: Leonardo Royal Hotel in Amsterdam, The Netherlands (in-person and online)
The World Data Summit is one of the top international conferences for data professionals in all fields. This year, the World Summit's focus is on big data and business analytics, of which machine learning is a crucial aspect. The questions are: “How can big data become more useful?” and “How do businesses create better analytical models?”
Notable keynote speakers at this data and analytics summit include Ruben Quinonez, Associate Director at AT&T; Valerii Babushkin, Vice President of Data Science at Blockchain.com; Viktorija Diestelkamp, Senior Manager of Business Intelligence at Virgin Atlantic; and Murtaza Lukmani, Performance Max Product Lead, EMEA at Google.
Price: 795 euros ($897) for a single day of workshops, 1,395 euros ($1487) for the conference without workshops, or 1,695 euros ($1807) for a combination ticket. Registration is now open.
6. AI & Big Data Global Expo 2023
Dates: November 30 - December 1, 2023
Location: Olympia London in London, England (in-person, virtual, and on-demand)
The AI & Big Data Global Expo bills itself as the “...leading Artificial Intelligence & Big Data Conference & Exhibition event,” and it expects 5,000 attendees in late 2022. Topics at this AI summit include AI algorithms, virtual assistants, chatbots, machine learning, deep learning, reinforcement learning, business intelligence (BI), and a range of analytics subjects.
Expect top-tier keynote speakers like Tarv Nijjar, Sr. Director BI & CX Effectiveness at McDonald's and Laura Roish, Director, Digital Product & Service Innovation at McKinsey & Company. The organizers, TechEx, also run various events in Europe, including the IoT Tech Expo and the Cybersecurity and Cloud Expo.
Price: Free expo passes that give attendees access to the exhibition floor are available, while VIP networking party tickets are available for a set cost (details to be released soon).
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7. ML Conference 2023
Date: March 30, 2023
Location: 230 Fifth Rooftop in New York City, NY (in-person)
MLconf™ NYC invites attendees to “connect with the brightest minds in data science and machine learning.” Past keynote speakers have come from top companies that have taken machine learning to the next level, including Facebook, Google, Spotify, Red Hat, and Amazon. Expect experts from AI projects with a range of case studies looking to solve difficult problems in big data, analytics, and complex algorithms.
Price: Tickets via Eventbrite start at $249.
8. Data Science Salon Hybrid 2023
Date: February 21-22, 2023
Location: 800 Congress in Austin, TX (in-person and online)
This data science conference has a community feel — data scientists and machine learning specialists from all over the world meet to educate each other and share their best practices. Past speakers include Sonali Syngal, a machine learning expert from Mastercard, and Shruti Jadon, a machine learning software engineer from Juniper Networks.
The event format includes a combination of talks, panel discussions, and workshops as well as an expo and casual networking opportunities. This year’s agenda features over fifty speakers, such as Peter Grabowski, Austin Site Lead – Enterprise ML at Google; Kunal Khadilkar, Data Scientist for Adobe Photoshop at Adobe; and Kim Martin, Director, Software Engineering at Indeed.
Price: The virtual event is free to attend, while in-person tickets start at $2495.
9. International Conference on Machine Learning (ICML 2023)
Dates: July 23-29, 2023
Location: Hawaii Convention Center in Honolulu, Hawaii (in-person with some online elements)
This is the 40th International Conference on Machine Learning (ICML), and it will bring some of the leading minds in machine learning together. In response to the uncertainty surrounding the pandemic, organizers changed plans to hold the event in Hawai’i. With people from Facebook AI Research, Deepmind, Microsoft Research, and numerous academic facilities involved, this is the one to attend to learn about the very latest developments in machine learning.
10. International Conference on Machine Learning and Applications (ICMLA 2023)
Dates: April 17-18, 2023
Location: Boston, MA (online)
This International Conference on Machine Learning and Applications (ICMLA) is an online-only event. and one not to be missed in 2023. It features a forum for those interested in the fields of Computer and Systems Engineering. The event is organized by the World Academy of Science, Engineering, and Technology. The organizers are accepting paper submissions until January 31 covering topics on medical and health sciences research, human and social sciences research, and engineering and physical sciences research.
Price: Tickets start at €250 ($266).
11. Data Innovation Summit ANZ 2023
Dates: March 16, 2023
Location: Crown Conference Centre in Melbourne, Australia (online)
The Data Innovation Summit ANZ brings together the most data-driven and innovative minds in everything from machine learning and data science to IoT and analytics. This event features interactive panel discussions, opportunities to network with the delegates, demos of the latest cutting-edge technology, and an agenda that matches the community challenges and needs.
Price: Tickets start at $299. Group discounts are available.
12. Ai4 2023
Dates: August 7-9, 2023
Location: MGM Grand in Las Vegas, NV (online)
Ai4 is the industry’s leading artificial intelligence conference. This event brings team leaders and practitioners together who are interested in the responsible adoption of machine learning and other new technologies. Learn from more than 275 speakers representing over 25 countries, including Agus Sudjianto, EVP, Head of Corporate Model Risk at Wells Fargo; Allen Levenson, Head of Sales, Marketing, Brand Analytics, CDAO at General Motors; and Aishwarya Naresh Reganti, Applied Scientist at Amazon.
Price: Tickets start at $1,095. Complimentary passes are available for attendees who qualify.
Integrate.io and Machine Learning
Learn more about the basics of machine learning and how it influences data storage and data integration with Integrate.io’s detailed definition in the popular glossary of technical terms. Integrate.io prides itself on providing the right resources for both experienced data managers and those with a less technical background. That way, they can leverage new technologies at the forefront of innovation.
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