Top AI/ML Scientists You Can Follow on Twitter in 2022
Artificial intelligence has become the core phenomenon to drive growth and success in modern-day businesses.
There are around 300,000 AI engineers, AI scientists around the world. Several of these AI scientists, leaders, engineers have contributed exceptional works based on AI, ML, deep learning, coding and the list will go on. Artificial intelligence will continue to provide advanced technologies with its fast-paced applications at a much rapid pace than we all expect. There are enormous AI leaders, AI engineers, AI scientists who are proactive in this field and are contributing with their heart and soul and immense hard work which needs to be noted. Several of these AI Scientists are on social media where they post about the latest updates and concerning questions about AI and other advanced technologies. You can follow such eminent personalities who are totally into AI, ML, deep learning and get to know these AI Leaders on Twitter personally. You can gain much more knowledge from their life itself and know their works, experience and can also get more information on the upcoming opportunities.
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Top AI/ML Scientists you should follow:
The former president of Google China, Kai-Fu Lee has a lot of insight into the development of artificial intelligence in both China and the United States, the two booming superpowers in AI. Lee developed a speaker-independent, continuous speech recognition system as his Ph.D. thesis at Carnegie Mellon University. He was the founding director of Microsoft Research Asia.
Andrew is known for creating pioneering AI and machine learning courses. As a Stanford University professor in machine learning, he co-founded Coursera, a platform for massive online courses, many of them focused on AI and machine learning. Dr Ng’s research is mainly in fields such as machine learning, deep learning, computer vision, machine perception and natural language processing. Dr Ng has touched countless lives through his work as a computer scientist that led him to being named as one of Time magazine’s 100 most influential people in 2012.
A machine learning engineer with deep background in different ventures, Sampath will often post tutorials and machine learning papers. Ramesh Sampath has been working as a machine learning engineer for Landing AI.
Jess is a research scientist at Google’s DeepMind division and often tweets about advanced machine learning research algorithms. There she studies how to build machines that can flexibly build and deploy models around the global industries. Her work combines insights from cognitive science with structured relational architectures, model-based deep reinforcement learning, and planning.
The curator of Machine Learning Mastery, Jason has tons of free posts and resources dedicated to upskilling software engineers with machine learning knowledge they can apply. Jason started a community as he finds machine learning endlessly fascinating and also, he also likes to help developers get started and get good at applied machine learning.
Kriti is a young leader in the domain of AI and ethics, an increasingly relevant and important intersection. She built her first robot at the age of 15 in India and has been building innovative AI technologies to solve global issues, from productivity to inequality to domestic abuse, ever since.
Lisha was a Ph.D. in statistics at Berkeley focused on machine learning who decided to build her own stealth AI startup. She is followed by many Silicon Valley heavyweights and tweets about the latest advances and papers in the field. Lisha Li is the founder and CEO of Rosebud AI. She was previously a principal at Amplify Partners leading investments in early-stage startups, and worked in data science at Pinterest and Stitch Fix. Lisha holds a PhD in machine learning from UC Berkeley.
Sebastian is the writer of a book on machine learning practices in Python. He often shares a lot of interesting tweets about machine learning practices and theories. He is a deep learning and machine learning researcher focusing on developing methods for ordinal regression, computational biology, and computer vision. Sebastian is an assistant professor of statistics at the University of Wisconsin-Madison, and his research focuses on method development in the fields of machine learning and deep learning as well as applying predictive modeling techniques to problem solving in the biomedical sciences.
Ines is a front-end developer specializing in web applications for AI. She co-founded Explosion AI, the maker of spaCy, an open-source library for advanced NLP in Python. She believes in making the best possible products instead of launching. She’s a believer in rational planning, logical consequences and she believes in doing things rather than talking about them.
Hilary works as the general manager for machine learning at Cloudera and she will often retweet and share original posts on machine learning theory. She has recently embarked on writing a series on data and ethics. Mason was the chief data scientist at Bitly for four years. She is the founder and CEO of Fast Forward Labs and is a consultant data scientist at Accel, evaluating and advising on data strategies regarding technologies and investment opportunities. In 2010, she co-founded HackNY, a non-profit that helps integrate engineering students into the startup community in New York City. She has also been a member of Mayor Bloomberg’s Technology and the Innovation Advisory Council.