#夏日生活打卡季 #
Ever wondered who is a pioneer in the field of data science? Have you ever asked yourself who is really making progress to advance our understanding and use of big data?
Today, we'll ask "Who are the top 10 data scientists in the world?" via ChatGPT? to unveil the top 10 data scientists in the world.
If you're interested in the human minds behind algorithms and cutting-edge data-driven breakthroughs, read on.
Since ChatGPT answered that it was limited to data before 2021, it revisited the Internet, and finally sorted out the world's top 10 data scientists after many iterations:
1. Ng Ender Tak
Andrew Ng is a British-born American computer scientist and entrepreneur specializing in machine learning and artificial intelligence. He is the co-founder and head of Google Brain and was the chief scientist of Baidu.
Ng is also an adjunct professor at Stanford University and has made significant contributions to the online education space as a co-founder of Coursera and deeplearning.ai.
He spearheaded several initiatives aimed at exposing deep learning to a wider audience, mentoring more than 2.5 million students through his online courses.
He is one of the most famous and influential computer scientists in the world.
2. Yann LeCun
Yann LeCun is a French computer scientist who received the Turing Award for his work in machine learning, computer vision, mobile robotics, and computational neuroscience.
He is known for his work on optical character recognition and computer vision using convolutional neural networks (CNNs).
Currently, he is a Silver Medal Professor at NYU's Courant Institute for Mathematical Sciences and serves as Vice President and Chief AI Scientist at Meta (formerly Facebook).
3. Jeffrey Hinton
Geoffrey Hinton, head of research at Google Brain and winner of the Turing Award, Geoffrey Everest Hinton is a British-Canadian cognitive psychologist and computer scientist best known for his work on artificial neural networks.
He is known as the "Godfather of Deep Learning," a professor at the University of Toronto, vice president and engineering researcher at Google.
From 2013 to 2023, he worked at Google and the University of Toronto before leaving Google due to AI-related issues.
His contributions include the popularization of backpropagation algorithms for training neural networks, and his collaborative work on AlexNet marks a major advance in the field of computer vision.
Hinton, a winner of the Turing Award, shared their shared achievements in deep learning with Yoshua Bengio and Yann LeCun.
4. Daphne Kohler
Daphne Koller is an Israeli-American computer scientist who is a former professor at Stanford University and one of the founders of the online education platform Coursera.
She received her bachelor's and master's degrees from the Hebrew University of Jerusalem and her Ph.D. from Stanford University. Kohler's research focuses on artificial intelligence and its applications in biomedical sciences.
She has received numerous awards, including a MacArthur Fellowship, an ACM-Infosys Foundation Award for Computational Science, and a membership of the National Academy of Sciences.
Co-founder of Coursera and adjunct professor of computer science at Stanford University.
After leaving Coursera in 2016, she served as Chief Computing Officer of Calico and subsequently founded Insitro, a startup focused on drug discovery.
5. Joshua Bengio
Yoshua Bengio is a Canadian computer scientist best known for his work on artificial neural networks and deep learning.
He received the Turing Award along with Yann LeCun and Geoffrey Hinton for their work in deep learning.
Bengio is a professor in the Department of Computer Science and Operations Research at the University of Montreal and director of the Montreal Institute for Learning Algorithms (MILA).
6. Jeff Dean
Senior researcher of artificial intelligence at Google. He leads the Google Brain team.
Jeff Dean is an American computer scientist and software engineer known for his contributions to the world of Internet technology. He earned a bachelor's degree in computer science and economics from the University of Minnesota, and later a Ph.D. From the University of Washington.
Dean joined Google in 1999, where he led the development of the company's core infrastructure, co-creating systems that support large-scale computing such as MapReduce and BigTable.
Dean was involved in the creation of TensorFlow, Google's open source machine learning framework, and is currently the head of Google Research's Google AI division.
He received the 2012 ACM Computing Award for significant contributions to the field.
In April 2023, Dean was appointed Head of AI at OpenAI, a role that represents a major shift in his career and has implications for both OpenAI and the larger AI community.
7. Li Feifei
Feifei Li is well known in the field of data science for his pioneering work in computer vision and artificial intelligence.
She co-founded ImageNet, a large-scale, hierarchical image database that revolutionized machine learning.
Her contributions to convolutional neural networks (CNNs) have driven significant advances in image recognition algorithms.
Li is a professor at Stanford University and co-director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI).
8. Jürgen Schmidhuber
Jürgen Schmidhuber is a key figure in the field of deep learning and artificial intelligence research.
He co-developed the Long Short-Term Memory (LSTM) network in 1997, which plays a vital role in sequence prediction tasks.
Schmidhuber's contributions have had a significant impact on speech recognition, machine translation, and many other data science applications. He is Director of IDSIA Swiss Artificial Intelligence Lab.
9. Andrea Kapati
Andrej Karpathy has been recognized for his work in deep learning and computer vision. His doctoral dissertation on interpreting and generating images with convolutional neural networks shaped the field. He developed the "char-rnn" model, an influential method for understanding and generating text. Currently, Karpathy is Tesla's director of AI, responsible for improving self-driving car technology.
10. Jeremy Howard
Jeremy Howard is known for his pioneering work in machine learning and data science.
He founded Fast.ai, an organization dedicated to making deep learning accessible to everyone.
Howard has also developed many machine learning models that rank top in Kaggle competitions. His work emphasizes the democratization of artificial intelligence, advocating its use in everything from medicine to education.
According to ChatGPT, these minds are the top 10 data scientists in the world, and hopefully, one day you'll be on that list too!