.
Ajit jaokar's Blog – October 2019 Archive (1)
Understanding the applications of Probability in Machine Learning
This post is part of my forthcoming book The Mathematical Foundations of Data Science. Probability is one of the foundations of machine learning (along with linear algebra and optimization). In this post, we discuss the areas where probability theory could apply in machine learning applications. If you want to know more about…
ContinueAdded by ajit jaokar on October 27, 2019 at 10:30am — No Comments
Latest Blog Posts
- Why AI tools Failed to Help With Detecting COVID
- Deep learning in biology and medicine
- A taxonomy of Transformer based pre-trained language models (TPTLM)
- Understanding Self Supervised Learning
- Opportunities and Risks of Foundation Models
- Understanding Probabilistic Programming
- What skills would be needed for Telecoms professionals in the 5G world?
Most Popular Blog Posts
- Good source of coding puzzles for programming interviews
- A free self-paced learning path for #machinelearning and #deeplearning
- Algorithms for decision making: excellent free download book from MIT
- A simplified explanation for Understanding the Mathematics of Deep Learning
- Rule of thumb: Which AI / ML algorithms to apply to business problems
- A methodology for solving problems with DataScience for Internet of Things - Part Two
- Data Science for Internet of Things - The Big Picture
© 2021 TechTarget, Inc.
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
