Essential 10-Hour Machine Learning Foundations Video Bundle
Go beyond just writing machine learning models—understand how and why they work. This in-depth theory-focused collection is designed for aspiring ML engineers, data scientists, and researchers who want to master the principles, math, and logic behind modern machine learning algorithms.
This course includes.
Curriculum & lectures.
+ 00a Foundations of AI App Empires 3 lectures
+ 00b AI-Powered Product Patterns 4 lectures
+ 00c Machine Learning Theory Crash Course 12 lectures
+ 01 Introduction to Machine Learning 12 lectures
+ 01a Regression Models 9 lectures
+ 01b Gradient Boosted Classification 5 lectures
+ 02a Deep Learning 3 lectures
+ 02b Convolutional Neural Network 5 lectures
+ 02c Layers of a CIFAR-Image Classification Neural Network 5 lectures
+ 02d Optimizer and Loss for CIFAR-Image Classification Neural Network 3 lectures
+ 03 Generative Neural Network Fundamentals 6 lectures
+ 04 Discriminator Neural Network Fundamentals 2 lectures
+ 05 Other Types of Neural Networks 5 lectures
+ 06 Word2Vec Sentiment Classification of Words 5 lectures
+ 07 Learn Image Generation Machine Learning Through Interview Questions 3 lectures
+ 08a Diffusion Deep Learning Interview Questions 4 lectures
+ 08b Stable Diffusion Interview Questions 3 lectures
+ 09 Dimensionality Reduction Data Science Interview Questions 2 lectures
+ 10 Autoencoder Machine Learning Interview Questions 5 lectures
+ 11 GAN Neural Network Interview Questions 3 lectures
+ 12 Scoring Interview Questions 4 lectures
+ 13 Signal Processing Interview Questions 4 lectures
+ 14 Fourier Analysis Interview Questions 2 lectures
About this course.
✅ Learn the core theory behind supervised and unsupervised learning
✅ Understand bias-variance tradeoff, underfitting vs. overfitting, and error
✅ Dive into the mathematics of loss functions, optimization, gradient descent, and regularization
✅ Explore foundational models like linear regression, logistic regression, decision trees, SVMs, and more
✅ Get a structured introduction to the theory behind neural networks, activation functions, and backpropagation
✅ Explore the foundations of clustering, dimensionality reduction, and kernel methods
✅ Build theoretical intuition for model selection, cross-validation, and performance metrics
📦 Includes lifetime access, downloadable source files, evaluated coding challenges, and quizzes—all in one course.
If you want to master machine learning from the inside out—this theory collection is your essential guide. Enroll now and build the foundation that makes you a truly expert ML practitioner.
Taught by people who ship.
Team Mammoth
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
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Go beyond just writing machine learning models—understand how and why they work. This in-depth theory-focused collection is designed for aspiring ML engineers, data scientists, and researchers who want to master the principles, math, and logic behind modern machine learning algorithms.