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What Are The Best Machine Learning Conferences in 2020?

ML conferences are gaining popularity as the field constantly grows and presents new possibilities. Conferences are a great way to exchange the latest research results, learn from experts, and establish professional relationships that can help grow your business.

Attending conferences is one of the best ways to learn and develop skills. Additionally, you can meet new people, discover how others apply machine learning in their work.

To help you choose, we’ve prepared the list of the best conferences about machine learning in 2020.

1. Thirty-seventh International Conference on Machine Learning (ICML)

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.

ICML is one of the fastest-growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers to entrepreneurs and engineers, to graduate students and postdocs.

 When: Sun Jul 12th through Sat the 18th, 2020

Where: Messe Wien Exhibition & Congress Center, Vienna AUSTRIA


International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence is taking place for the 29th time.

This year’s conference will be dedicated to AI application in FinTech (financial technology).

Note that both IJCAI-PRICAI2020 and Olympic Games are taking place at the same time so make sure to book your spot and a hotel room!

When: July 11-17, 2020

Where: Yokohama, Japan

3. ML Conference

The Conference for Machine Learning Innovation. At this conference, you can learn about the applications of machine learning in business.

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.

When: June 17-19, 2020

Where: Sheraton Munich Arabella Hotel, Munich, Germany

4. NeurIPS | 2020

Thirty-fourth Conference on Neural Information Processing Systems

NeurIPS is an annual meeting during which experts talk about research on neural information in biological, technological, mathematical, and theoretical aspects.

The plan of the conference looks as follows:

Sunday – an Expo, where the top industry sponsors give talks, panels, demos, and workshops on topics that are of academic interest.

Monday – tutorials, which cover a broad background on current lines of inquiry, affinity group meetings, and the opening talk and reception.

Tuesday – Thursday – the general sessions are held and include talks, posters, and demonstrations.

Friday – Saturday –  the workshops, which are smaller meetings focused on current topics, and provide an informal, cutting edge venue for discussion.

When: December 6-12, 2020

Where: Vancouver Convention Center, Vancouver, Canada

5. O’Reilly Strata Data & AI Conference

A conference about business and technology. It’s a place where the most influential business decision-makers, strategists, architects, developers, and analysts in data and AI meet to discuss opportunities and latest discoveries.

When: September 14-17 2020

Where: New York, NY, USA

Check out other conferences organized by O’Reilly on Data and AI

6. MLDM Conference

16th International Conference on Machine Learning and Data Mining MLDM 2020.

The conference brings together researchers from all over the world who deal with machine learning and data mining, particularly around the topics of multimedia, biomedicals, and webmining.

When: July 18-23, 2020

Where: New York, NY, USA

7. DATAx

DATAx is an event that brings together business leaders, strategists, and practitioners who want to find new, innovative ways for business growth.

The conference has a wide and interesting agenda on all topics related to machine learning.

It’s also a great opportunity for networking with renowned experts from the world of data science and establish new professional relationships.

When: June 10-11, 2020

Where: San Francisco, CA, USA

8. Ai4

The conference gathers over 200 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.

When: September 1-2, 2020

Where: MGM Grand, Las Vegas, NV

9. AI Summit NSW 2020

AI Summit NSW 2020 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.

When: May 21, 2020

Where: 2 Wheat Rd, Sydney NSW 2000, Australia

10. GOTO Chicago 2020

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.

At the conference, the most important topics will be presented by the leaders in the community, staged in an intimate environment needed to support as much learning and networking as possible.

The theme of the conference is Our digital tomorrow.

When: Conference 27-29 April

Masterclasses – April 30 – May 1

Where: Chicago, IL, USA

11. ICLR 2020

Eighth 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.

When: April 26-30, 2020

Where: Millennium Hall, Addis Ababa Ethiopia

12. LOD 2020

The Sixth International Conference on Machine Learning, Optimization, and Data Science.

LOD is an international conference on machine learning, computational optimization, data science that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.

It’s worth participating in this conference not only because of its prestige but also because it takes place in charming Tuscany – a great place to get away from busy world and gather your thoughts (even those on ML!)

When: July 19-23, 2020

Where: Certosa di Pontignano, Siena – Tuscany, Italy

13. Applied Machine Learning Conference

This conference takes place during the Tom Tom Summit & Festival organized by the Tom Tom Foundation. It is a daylong exploration of cutting-edge research and applied science and it focuses on applied machine learning from the researchers, entrepreneurs, executives, and practitioners driving the future of the industry.

When: Wednesday, April 15, 2020

Where: Charlottesville, VA, USA

14. Intelligent Systems Conference (IntelliSys) 2020

IntelliSys 2020 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 Conferences.

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 main topics include AI, Machine Vision, Robotics, and Ambient Intelligence.

When: September 3-4, 2020

Where: Amsterdam, The Netherlands

15. COLT 2020

The 33rd Annual Conference on Learning Theory (COLT 2020) takes place in Graz, Austria and it is conveniently close in space and time to ICML 2020, which takes place in Vienna immediately after COLT (look point no. 14).

The conference 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.

When: July 9-12, 2020

Where: Graz University of Technology, Austria

16. GECCO 2020

The Genetic and Evolutionary Computation Conference (GECCO) presents the latest high-quality results in genetic and evolutionary computation since 1999.

The conference agenda encompasses keynotes, workshops and student workshops, tutorials, competitions, and the job market for those who look for new career opportunities.

The topics presented at the conference cover everything in Data Science

When: July 8-12, 2020

Where: Cancun, Mexico

17. ECAI2020

The 24th European Conference on Artificial Intelligence. Under the motto “Paving the way towards Human-Centric AI” ECAI provides an opportunity for researchers to present and discuss the best AI research, developments, applications, and results. ECAI2020 will feature a full program of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested in contemporary AI.

When: June 8-12, 2020

Where: Santiago de Compostela, Spain

18. The Data Science Conference

Interestingly, this is the only sponsor-free, vendor-free, and recruiter-free data science conference.Because of the no pictures/recording/broadcasting policy, we’ve earned the reputation of a secure venue for speakers to share information otherwise they may have not.

It’s an interesting event with a chance of networking with experts in the field of machine learning.

When and Where:

Chicago, 14-15 May 2020, University of Chicago’s Gleacher Center

​Boston, 8-9  October 2020, Boston University’s Metcalf Trustee Center

19. KDD 2020

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.

When: August 22-27, 2020

Where: San Diego Convention Center, CA, USA

20. International Conference on Very Large Data Bases

VLDB is a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users. The VLDB 2020 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.

Some of the keynote speakers come from such companies as Apple, Google, IBM-research, and prestigious Universities.

When: August 31-September 4, 2020

Where: Tokyo, Japan

21. 58th Annual Conference of the Association for Computational Linguistics

ACL (the Association for Computational Linguistics) is the premier conference of the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language.

If you’re interested in language processing and linguistics, this conference is the right choice

When: July 5-10, 2020

Where: Seattle, Washington at the Hyatt Regency Seattle, USA

22. ECML PKDD 2020

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases is the premier European machine learning and data mining conference and builds upon over 18 years of successful events and conferences held across Europe.

When: September 14-18, 2020

Where: Ghent, Belgium

23. Open Data Science Conference

 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:

ODSC EAST | Boston (The East Coast’s Leading Applied AI & Data Science Conference))- April 13-17, 2020

ODSC WEST | San Francisco (The West Coast’s Leading Applied AI & Data Science Conference) – Oct 26-30, 2020

ODSC EUROPE | Dublin (Europe’s Fastest Growing AI & Data Science Community) – September 14-18, 2020

ODSC INDIA | Bangalore (APAC Leading Applied AI & Data Science Conference) – September 9-12, 2020

ODSC BRASIL | Sao Paulo (Latin America’s Leading Applied AI & Data Science Conference) – September 2020

You can also attend AI X Summit – AI X East | Boston – April 14-15, 2020

It’s an AI conference series 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. 

24. DSS Virtual Salons + BONUS from Neptune!

DSS Virtual Salon features three four-day data science conferences that bring together the brightest leaders in the data science field to educate each other, illuminate best practices, and innovate new solutions. 2500+ attendees and 30+ speakers gather virtually to focus on how to solve real-world problems by harnessing disruptions in data, artificial intelligence, and machine learning.

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!


Which conference will you attend?

Have you booked a spot at the conferences that interest you? If not make sure to do so before others outrun you!

Participating in such an event is a great opportunity to meet new people and stay on top of the latest news in machine learning.


Where Can You Learn About MLOps? What Are the Best Books, Articles, or Podcasts to Learn MLOps?ML Experiment Tracking: What It Is, Why It Matters, and How to Implement It

4 mins read | Paweł Kijko | Updated May 31st, 2021

MLOps is not a piece of cake. Especially in today’s changing environment. There are many challenges—construction, integrating, testing, releasing, deployment, and infrastructure management. You need to follow good practices and know how to adjust to the challenges.

And if you don’t learn and develop your knowledge, you’ll fall out of the loop. The right resources can help you follow the best practices, discover helpful tips, and learn about the latest trends.

You don’t have to look far, we’ve got you covered! Here’s your list of the best go-to resources about MLOps—books, articles, podcasts, and more. Let’s dive in!

1. Introducing MLOps from O’Reilly

Introducing MLOps: How to Scale Machine Learning in the Enterprise is a book written by Mark Treveil and the Dataiku Team (collective authors). It introduces the key concepts of MLOps, shows how to maintain and improve ML models over time, and tackles the challenges of MLOps.

The book was written specifically for analytics and IT operations team managers—the people directly facing the task of scaling machine learning (ML) in production. It’s a guide for creating a successful MLOps environment, from the organizational to the technical challenges involved.

Introduction to MLOps

The book is divided into three parts:

  1. An introduction to the topic of MLOps, how and why it has developed as a discipline, who needs to be involved to execute MLOps successfully, and what components are required.
  2. The second part follows the machine learning model life cycle, with chapters on developing models, preparing for production, deploying to production, monitoring, and governance.
  3. Provides tangible examples of how MLOps looks in companies today, so readers can understand the setup and implications in practice.
Continue reading ->

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