marp	theme	class	paginate	size	math	header	footer
true	default	invert	true	14580	mathjx	Ajeet Kumar Bhardwaj	[email protected]

Thinking

Process to have a idea of going from unknown to known

Thinking - Imagine that you are lost in a deep forest, unknown of any kind of information that can help you to came out of forest then think and figure-out the procedure that will help you do come out of forest to the city area.

---

Supervised Learning

---

References and Materials to Supervised Learning

1. An Introduction to Statistical Learning with Application in Python and R by Gareth James, Daniela Witten, Trevor Hastie, Jonathan Taylor and Robert Tibshirani

2. The Elements of Statistical Learning : Data Mining, Inference and Prediction by Trevor Hastie , Robert Tibshirani , Jerome Friedman

3. Hands on Intro to Machine Learning by Chirag Shah

---

Unsupervised Learning

---

References and Materials to Unsupervised Learning

1. An Introduction to Statistical Learning with Application in Python and R by Gareth James, Daniela Witten, Trevor Hastie, Jonathan Taylor and Robert Tibshirani

2. The Elements of Statistical Learning : Data Mining, Inference and Prediction by Trevor Hastie , Robert Tibshirani , Jerome Friedman

3. Hands on Intro to Machine Learning by Chirag Shah

---

Reinforcement Learning

---

1.Mon : Start of a story that in unknown but will be known after months

Ch-1 : Fundamental Concepts of Reinforcement Learning like State, action, Enviroment, Agent, State Trasition function, Policy, Reward, Trajectories, Returns and Episodes and Markove Decision Process(MDPs), Ch-2 : State Values, Bellman Equation and It's Solutions like Closed-form & Iterative and Action Values.

---

References and Materials to Reinforcement Learning

1. Mathematical Foundations of Reinforcement Learning by Shiyu Zhao

2. Reinforcement Learning : An Introduction by Richard S. Sutton and Andrew G. Barto

3. Foundations of Reinforcement Learning with Applications in Finance by Ashwin Rao and Tikhnon Jelvis

4. PyTorch 1.x Reinforcement Learning Cookbook by Yuxi Liu

---

Deep Learning

---

---

References and Materials to Deep Learning

1. Dive into Deep Learning by

2. Understanding Deep Learning by

3. Deep Learning Architecture : A Mathematical Approach by Ovidiu Calin

4. Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville

---

Generative AI

From Texts to Videos

---