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Machine Learning Fundamentals BootCamp
Welcome
Introduction (13:25)
Curriculum
Tools
The Discord Server
Useful Material
Tell me more about you!
Machine Learning System Design
Intro (1:07)
Machine Learning Project Management (20:55)
Machine Learning System Design (36:10)
Recorded Live Sessions (452:56)
Homework 1
Homework 1 Feedback
Outro (0:42)
Statistical Learning with Boosting Algorithms
Intro (1:08)
The Bias-Variance Tradeoff (10:19)
The Gradient Boosted Trees Algorithm (5:41)
How to build trees in XGBoost (27:49)
LightGBM (7:18)
CatBoost (13:42)
Recorded Live Sessions (491:03)
Homework 2
Homework 2 Feedback
Outro (0:21)
Optimizing Models
Intro (1:05)
The Optimization Space (10:50)
The Experimental Design (13:07)
A Toy AutoML Pipeline (1:45)
Setting up the Project (4:47)
The Pipeline (14:55)
The Modules (14:35)
Connections and Applications (6:53)
Tracking the ML Experiments with MLFlow (8:47)
Recorded Live Sessions (493:46)
Homework 3
Homework 3 Feedback
Outro (0:37)
Deep Learning Basics
Intro (1:02)
The Computational Graph (16:44)
The Backpropagation Algorithm (26:45)
The Different Optimizers (9:20)
Activation Functions and Regularization (9:27)
The Computational Blocks (9:21)
Recorded Live Sessions (487:56)
Homework 4
Homework 4 Feedback
Outro (0:26)
Advanced Deep Learning Techniques
Intro (0:59)
Computer Vision Applications (13:25)
Natural Language Processing Applications (11:41)
Recommender Systems (6:19)
Generative AI (5:51)
Deep Reinforcement Learning (6:26)
Deep Learning Techniques (11:42)
Recorded Live Sessions (455:03)
Homework 5
Homework 5 Feedback
Outro (0:35)
Deep Reinforcement Learning
Intro (1:27)
What is Reinforcement Learning (4:26)
The Bellman Equation (14:28)
Deep Q-Networks (8:20)
The Gymnasium package (6:00)
Setting up the Project (2:22)
The Environment (6:31)
The Model (6:03)
The Agent (8:55)
The Experience Buffer (5:33)
The Trainer (21:39)
Training the Model (6:06)
Training on AWS (11:51)
Recorded Live Sessions (469:58)
Homework 6
Homework 6 Feedback
Outro (0:40)
Career Coaching
Intro (1:31)
The Different Machine Learning Jobs (13:05)
Transitioning to a Machine Learning job (24:44)
What hiring managers care about on the resume (4:50)
Defining the type of engineer you are (16:41)
Structuring your resume (14:08)
Where can you get a job in machine learning (6:31)
Preparing for interviews (16:34)
Recorded Live Sessions (300:16)
Outro (0:36)
Deep Reinforcement Learning
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