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Applied Machine Learning Online Course
Temporal Difference
Temporal Difference
Instructor:
Applied AI Course
Duration:
11 mins
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Q-function
Deep Q Learning: Intuition
Machine Learning High-Level Design
1.1
Machine Learning design: Search engine for Q&A
1.2
ML System Design: Feature Store
31 min
Sample Interview and Conceptual Questions [AUDIO]
2.1
Sample Interview and Conceptual Questions [AUDIO]
Reinforcement Learning
3.1
Applications of RL
10 min
3.2
Problem Forumulation & Terminology
8 min
3.3
Bellman Equation
20 min
3.4
Dynamic Programming and RL
11 min
3.5
Markov Decision Process (MDP)
12 min
3.6
Q-function
7 min
3.7
Temporal Difference
11 min
3.8
Deep Q Learning: Intuition
5 min
3.9
Q&A
37 min
Module 10: Live Sessions
4.1
An overview of AI Algorithms ( a 10,000 feet view)
4.2
Introduction to Big data for ML and AI
4.3
Big-Data & Cloud Storage for ML/AI Applications
4.4
Spark for Data Science and Machine Learning [Architecture and Programming model]- I
4.5
Spark for Data Science and Machine Learning [Setup + Code walkthroughs]-II
4.6
Spark for Data Science and Machine Learning [ML Lib and ML Pipelines]-III
4.7
How to Build a Chatbot?
4.8
Design and build a Chatbot from Scratch
4.9
Design and build a Chatbot from Scratch-Part 2
4.10
How to build IoT + AI systems
4.11
LIVE: How to Crack ML Competitions
4.12
Live: Effective communication for DS and MLEs
4.13
Sample Interview and Conceptual Questions [AUDIO]
4.14
Various roles in an ML/DataScience team
13 min
4.15
Client management for AI Projects
11 min
4.16
Live Session(17th July 2022): ML System design Interview session
1 min
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