Follow these machine learning influencers to stay up to date on the newest tech news.
In the industrial sector, machine learning has become a buzzword. ML technology has come a long way from revolutionising industrial operations to being a part of our daily lives, from increasing the optimization of business processes to powering a wide range of personal gadgets on the edge.
The popularity of ML has grown as a result of its recent applications. Great technologists have also affected and promoted the advancement of technology.
Following these machine learning influencers can assist other tech enthusiasts in staying ahead of the curve and broadening their expertise. In 2022, here is a list of the top machine learning influencers that tech enthusiasts should follow.
![](https://pimwp.s3-accelerate.amazonaws.com/2021/08/24-8-21-450x289.jpg)
• Vladimir Vapnik,
Vladimir Vapnik is a co-inventor of the support vector machine approach and one of the main developers of the Vapnik-Chervonenkis theory of statistical learning. He is a well-known machine learning researcher who also invented the support-vector clustering algorithm.
• Martin Ford
Martin Ford is a futurist and author who focuses on the social and economic implications of AI and robotics. He is the author of three best-selling technology books. In his most recent work, he claims that AI is an all-pervasive technology that can be found in any field and by anyone.
• Andrew Ng
Andrew Ng is a well-known computer scientist and entrepreneur who focuses on machine learning and artificial intelligence. He is a Stanford University professor and the co-founder of Coursera. He formerly served as Baidu’s chief scientist and vice president. Andrew is credited with founding Coursera’s most popular machine learning course, which has attracted over 3.2 million students.
• Fei Fei Li
Fei Fei Li is a co-director of Stanford’s Human-Centered AI Institute and Stanford Vision and Learning Lab, as well as an associate professor at Stanford. Machine learning, artificial intelligence, deep learning, computer vision, and cognitive neuroscience are among her research specialties.
• Allie K. Miller
Allie Miller is the CEO of one of the world’s most cutting-edge AI firms. She is one of the sharpest women who, early in her career, built an advanced artificial intelligence product for IBM. Allie has lectured about AI and its diversity at some of the world’s most prestigious conferences and has written guidebooks to help businesses successfully adopt AI initiatives.
• Andrej Karpathy
Andrej Karpathy is the Director of Artificial Intelligence at Tesla, where he oversees the team in charge of the autopilot neural networks. He was previously a researcher at OpenAI, where he worked on computer vision, generative modelling, and reinforcement learning.
• Yoshua Bengio
Yoshua Bengio is a computer scientist who won the 2018 A.M. Turing Award, the ‘Nobel Prize of Computing,’ along with Geoffrey Hinton and Yann LeCun, for his contributions to artificial neural networks and deep learning. Due to his concerns about AI’s social impact and goals, he also actively contributes to the Montreal Declaration for the Responsible Development of Artificial Intelligence.
Follow and connect with us on Facebook, LinkedIn & Twitter