Content Table
· 1. Andrew Ng
∘ Side Note From Me:
· 2. Yann LeCun
· 3. Geoffrey Hinton
· 4. Daphne Koller
· 5. Yoshua Bengio
· 6. Jeff Dean
· 7. Fei-Fei Li
· 8. Jürgen Schmidhuber
· 9. Andrej Karpathy
· 10. Jeremy Howard
· My Cheat Sheets and Source Codes.
Andrew Ng is a British-born American computer scientist and entrepreneur specializing in machine learning and AI. He was the co-founder and head of his Google Brain and former principal investigator at Baidu.
Ng is also an adjunct professor at Stanford University and has made significant contributions to the field of online education as a co-founder of both Coursera and deeplearning.ai.
He has led numerous initiatives aimed at making deep learning accessible to a wider audience, and has mentored over 2.5 million students through online courses.
He is one of the world’s most famous and influential computer scientists.
Addendum from me:
I love his course on machine learning. He has the ability to decompose complex concepts into multiple simple concepts. I really liked his course.
Yann LeCun is a French computer scientist and Turing Award winner for his work in machine learning, computer vision, mobile robotics, and computational neuroscience.
He is best known for his work on optical character recognition and computer vision using convolutional neural networks (CNNs).
Currently, he is a Silver Professor at New York University’s Courant Institute of Mathematical Sciences, where he is Vice President and Chief AI Scientist at Meta (formerly known as Facebook) 2.
Jeffrey Everest Hinton is a British-Canadian cognitive psychologist and computer scientist best known for his work on artificial neural networks.
Known as the “godfather of deep learning,” he is a professor at the University of Toronto and a vice president and engineering fellow at Google.
He was at Google and the University of Toronto from 2013 to 2023, but later left Google due to AI-related concerns.
His contributions include popularizing backpropagation algorithms for training neural networks. Collaborating on AlexNet has also brought great advances in computer vision.
Hinton is a Turing Award winner and shares the honor with Joshua Bengio and Yann Lucan for their collaboration on deep learning. [1.]
Daphne Koller is an Israeli-American computer scientist, former professor at Stanford University, and co-founder of online education platform Coursera.
She received her bachelor’s and master’s degrees from the Hebrew University of Jerusalem and her doctorate from Stanford University. Koller’s research focuses on artificial intelligence and its biomedical applications.
She has received numerous awards, including a MacArthur Fellowship, an ACM-Infosys Foundation Award in Computing Science, and a Member 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 assumed the role of Chief Computing Officer at Calico before founding Insitro, a startup focused on drug discovery.[1.]
Yoshua Bengio is a Canadian computer scientist known for his work in artificial neural networks and deep learning.
He won the Turing Award with Yann LeCun and Jeffrey Hinton for his work in deep learning.
Bengio is Professor of Computer Science and Operations Research at the University of Montreal and Director of the Montreal Institute for Learning Algorithms (MILA).
Senior Fellow of Google AI. He leads his 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 his Bachelor of Science in Computer Science and Economics from the University of Minnesota and later his Ph.D. He is from the University of Washington.
Dean joined Google in 1999 and led the development of the company’s core infrastructure, co-creating systems such as MapReduce and BigTable that enable large-scale computation.
Dean helped create TensorFlow, Google’s open source machine learning framework, and currently leads the Google AI division within Google Research.
He was awarded the 2012 ACM Awards Computing Award in recognition of his significant contributions to the field.
In April 2023, Dean was appointed Head of AI at OpenAI. This role represents a major shift in his career, with implications for both OpenAI and the wider AI community.
Fei-Fei Li is well known in the field of data science for his pioneering work in computer vision and artificial intelligence.
She co-created ImageNet, a large hierarchical image database that revolutionized machine learning.
Her contributions to convolutional neural networks (CNNs) have facilitated significant advances in image recognition algorithms.
Lee is a professor at Stanford University and co-director of the Stanford Human-Centered Artificial Intelligence Institute (HAI).
Jürgen Schmidhuber is a central figure in deep learning and artificial intelligence research.
He co-developed the long short-term memory (LSTM) network in 1997. LSTMs play an important role in sequence prediction tasks.
Schmidhuber’s contributions have had a profound impact on speech recognition, machine translation, and many other data science applications. He is the director of the Swiss AI lab IDSIA.
Andrej Karpathy is known for his work in deep learning and computer vision. His doctoral dissertation on image interpretation and generation by convolutional neural networks shaped the field. He developed the “char-rnn” model, an influential approach to understanding and generating text. Karpathy now works as his AI director at Tesla to improve self-driving car technology.
Jeremy Howard is known for his breakthrough 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 numerous machine learning models that have won Kaggle competitions. His work focuses on the democratization of his AI, advocating its use in fields ranging from medicine to education.
