This list is based on LinkedIn. Criteria for selection include the number of followers (above 50k), the relevancy and contributions to the field, relevant education and professional experience, as well as recent activity. To submit an entry, email us at vincentg@MLTechniques.com, with the name of the candidate, a short bio, and a link to his/her LinkedIn profile. We will include professionals who meet all the requirements, at our discretion. This list is in alphabetical order.
Kirk Borne. Worldwide top influencer since 2013. Data Scientist. Global Speaker. Consultant. Astrophysicist. Space Scientist. Big Data & Data Science advisor, TedX speaker, researcher, blogger, Data Literacy advocate. Social Reporter for your Data Event. Previously Principal Data Scientist and Executive Advisor, First Data Science Fellow at Booz Allen, and Professor of Astrophysics and Computational Science at George Mason University. Sign-up to his new course “Applied Machine Learning”, here. Followers: 69k.
Andriy Burkov. Machine Learning at Gartner, author of “The Hundred-Page Machine Learning Book” and “Machine Learning Engineering”. PhD in artificial intelligence, passionate about data, speaking English, French, and Russian. Solid scientific programming and team leadership skills. More than 20 years of experience working on various computing projects, including several own startups. More than 15 years of practical hands-on experience in automated data analysis, machine learning, natural language processing, Linux hacking, database, and search engine setup and querying. Expert in Python and Java with several years of day-to-day design and development in the big data context. Followers: 239k.
Lex Fridman. Research Scientist, MIT. Research in AI, human-robot interaction, autonomous vehicles, and machine learning at MIT. Lex is a Russian-American computer scientist, artificial intelligence researcher, and podcast host. Outside of academia, Lex is more popularly known for his podcast and YouTube video series where he interviews a wide variety of guests including scientists, mathematicians, political commentators, authors, historians, philosophers, economists and artists. Followers: 615k.
Vincent Granville. Pioneering data scientist and machine learning expert, founder of MLTechniques.com, co-founder of Data Science Central (acquired by TechTarget in 2020), former VC-funded executive and patent owner. Vincent worked with Visa, Wells Fargo, eBay, NBC, and Microsoft. He is a former post-doc at Cambridge University and author of the book “Intuitive Machine Learning and Explainable AI” (2022), available here. Sign-up to his new course “Machine Learning Techniques”, here. Followers: 61k.
Chip Huyen. Co-founder at Claypot AI, a startup developing real-time machine learning solutions. Teaching “Machine Learning Systems Design” at Stanford. Previously with Snorkel AI, NVIDIA, Netflix, Primer, Baomoi.com (acquired by VNG). Chip helped launch Coc Coc – Vietnam’s second most popular web browser with 20+ million monthly active users. Author of four bestselling Vietnamese books and working on an upcoming book on machine learning interviews. Followers: 112k.
Cassie Kozyrkov. Chief Decision Scientist at Google, Keynote Speaker, Creator of the “Making Friends with Machine Learning” series. Deep technical expertise, analytics management experience, and ability to lead organizational change. Cassie guided more than 100 projects and designed Google’s analytics program, personally training over 20,000 Googlers in statistics, decision-making, and machine learning. Followers: 467k.
Yann LeCun. VP and Chief AI Scientist at Meta. Professor at NYU, researcher, and R&D manager with academic and industry experience in AI, machine learning, deep learning, computer vision, intelligent data analysis, data mining, data compression, digital library systems, and robotics. PhD in computer science, Pierre and Marie Curie University. Specialties: research, technical consulting, scientific advising. Followers: 276k.
Allie Miller. AI Entrepreneur, Advisor, Investor. Former Amazon, IBM. LinkedIn Top Voice 2021. Deep background in artificial intelligence, machine learning, human-computer interaction, technology, cognitive science, statistics, product and user experience, product management, startups, angel investing, and venture capital. Followers: 1,351k.
Andrew Ng. Dr. Andrew Ng is a globally recognized leader in AI. He is Founder and CEO of DeepLearning.AI, Founder and CEO of Landing AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department. He has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2013, he was named to the Time 100 list of the most influential persons in the world. Followers: 818k.
Steve Nouri. Steve is a data science leader who has evolved the way people look at AI and innovations. An author, academic and technical leader by profession, he aims to inspire people through the latest technology trends. He has recently founded AI4Diversity, a non-profit global initiative with more than 4000+ volunteers that engages and educates diverse communities about AI to benefit global society. He is a member of the Forbes Technology Council, Australia’s ICT Professional of the Year, and an accomplished influencer on LinkedIn with 500 million views the last year. Followers: 1,107k.
Aishwarya Srinivasan. Data Scientist, Google Cloud. Women of Influence Awardee 2022, LinkedIn Top Voice Data & AI 2020. Aishwarya is working as a Data Scientist in the Google Cloud AI Services team to build machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform. She is the founder of Illuminate AI, a non-profit organization providing resources and mentorship for people who want to build their career in the field of AI. Previously a developer advocate for PyTorch Lightning and a contributor to Scikit Learn. Followers: 373k.
Bojan Tunguz. Machine Learning at NVIDIA, physicist, quadruple Kaggle Grandmaster. PhD in physics, Stanford University. Data Scientist with advanced technical and quantitative skills. Specialties: data science, machine learning, predictive modeling, natural language processing, deep learning, big data, artificial intelligence. Bojan also worked with the Stanford Rhiju Das Lab, on stabilization of mRNA COVID-19 Vaccine. Followers: 57k.
In addition to the above influencers, we want to mention Anima Anandkumar, Craig Brown, Greg Coquillo, Isaac Faber, Alex Freberg, Michael Green, Andrew Jones, Kristen Kehrer, Andreas Kretz, Kunal Kushwaha, Daliana Liu, Danny Ma, Serg Masís, Keith McNulty, Sumit Mittal, Laurence Moroney, Kevin Murphy, Krish Naik, Vipul Patel, Dipanjan Sarkar, Nick Singh, Adam Sroka, Kate Strachnyi, Abhishek Thakur, Philip Vollet, Alex Wang, Eric Weber, Zach Wilson. If you are in the above list with your name only (or missing), and you wish to appear with a picture and brief summary instead, feel free to contact us at vincentg@MLTechniques.com.