Swapnil Saurav

Scientists Who Made Contribution to Machine Learning

There are numerous scientists who have made significant contributions to the field of machine learning. Some of the most notable figures include:

  1. Arthur Samuel: Samuel coined the term “machine learning” and is known for his work on computer checkers, which pioneered the use of self-learning algorithms.
  2. Marvin Minsky: Minsky co-founded the Massachusetts Institute of Technology’s (MIT) Artificial Intelligence Laboratory and made various contributions to machine learning, including the Perceptron, a machine learning algorithm that simulates neural networks.
  3. Geoffrey Hinton: Hinton is often referred to as the “godfather of deep learning” and has made profound contributions to artificial neural networks, specifically in the field of deep learning. He is famous for his work on backpropagation, Boltzmann machines, and convolutional neural networks.
  4. Yoshua Bengio: Bengio is a leading figure in deep learning and neural networks. He contributed to the development of recurrent neural networks and is known for his work on unsupervised learning and generative models.
  5. Andrew Ng: Ng co-founded Google Brain and contributed to the development of deep learning algorithms. He is well-known for his work on convolutional neural networks and his founding role in Coursera, an online learning platform.
  6. Yann LeCun: LeCun is renowned for his work on convolutional neural networks and is one of the pioneers of deep learning. He is currently the Director of AI Research at Facebook.
  7. Vladimir Vapnik: Vapnik co-invented the support vector machine (SVM), a powerful supervised learning algorithm. His work has had a significant impact on machine learning, particularly in the field of pattern recognition.
  8. Judea Pearl: Pearl is known for his work on causal inference, specifically Bayesian networks and graphical models. His contributions have greatly influenced the field of probabilistic reasoning in machine learning.
  9. Fei-Fei Li: Li is a leading researcher in computer vision and has contributed to the development of large-scale visual recognition models. She co-created ImageNet, a widely used database that has sparked advancements in image classification.
  10. Demis Hassabis: Hassabis is a co-founder of DeepMind, an AI research company that has made significant breakthroughs in machine learning. His work has focused on reinforcement learning and developing algorithms capable of mastering complex games, including Go and chess.

These are just a few examples of the numerous scientists who have made notable contributions to the field of machine learning. Many others have also played crucial roles in advancing the field and continue to do so.

Free Python Webinar

Python expert Swapnil Saurav conducted one-hour long Python Webinar for those who want to learn Python programming. The session was conducted on March 5th 6-7pm India time. This was conducted as part of Swapnil’s mission to make India Python literate. The webinar was attended by over 30 participants.

Following topics were covered in the session:

  1. Why is gaining popular
  2. Top features of Python
  3. Brief history
  4. Download, Installation and Working of Python.exe, Pycharm and using Google Colab
  5. Print() function
  6. Variables
  7. Basic datatypes – Int, String

List of participants included:

  1. Borra John
  2. Shivakumar
  3. Ajan S
  4. Juhaira K
  5. Sankar K
  6. Velmurugan A
  7. Loga Varshini.P
  8. Bhuwan Kumar Sharma
  9. Aswini M
  10. Harini Sri A.R.
  11. K. Swetha
  12. Rohan S Lolage
  13. M. Jaya varshini
  14. Nathalie Joy D. Fronda
  15. S. Sanjay
  16. Inika.R.G.
  17. Kanividya G.P.
  18. Indu Bala
  19. Sivanarul Selvan S
  20. Shrasti Agrawal
  21. S. Srinivas
  22. Pandu Rangan C.R
  23. M. Hemapriya
  24. Muskan Mahato
  25. Debjit Biswas
  26. Noor Mohammed G
  27. Chauhan Mitul Kumar
  28. Souvik Chakraborty
  29. Navneet Singh
  30. Kapil RJ
  31. Gagan Manocha

Attached here is the presentation deck:

Presentation slides
Speaker at ATAL online FDP on “The Internet of Things and Everything- IOT/IOE”

I am so pleased to share the news that I was one of the speakers at the ATAL Online Faculty Development Program, a 5-days course conducted by Chandigarh University and was Organized By Department of Electronics & Communication Engineering, Chandigarh University. The programme was accepted and approved by AICTE Training and Learning (ATAL) Academy cell.

The sessions were conducted by the team of eminent academicians and industry experts possessing in-depth knowledge in the area of Internet of Everything. Topis covered were:

  • Introduction to embedded systems, IOT and IOE
  • Internet of Everything v Internet of things
  • IOT Network and Protocols
  • IOT System architecture -Design and Development
  • IOT Programming and Simulator
  • Security and Privacies issues in IOT
  • Cloud deployment and its application in IOT
  • IOT/IOE in Healthcare applications
  • AI Powered IOT/IOE
  • Building a sample IOT application

I spoke on Day 5 Session 1. My topic was “IoT for Retail Management”.

Other speakers at the event were:

In my next blog, I will write about the content I presented at the event. Stay tuned!