Serrano.Academy Courses

Decision Trees - A Friendly Introduction

Learn to build and train decision trees through a simple example, exploring key concepts like data splitting, overfitting prevention, and alternative evaluation metrics.

• YouTube
• 22 minutes
• On-Demand
• Free Video

What Is Quantum Machine Learning?

Friendly introduction to quantum computing and machine learning, covering qubits, quantum gates, entanglement, and their applications in generative modeling and optimization.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Denoising and Variational Autoencoders

Explore autoencoders, powerful generative models for dimensionality reduction and data generation. Learn about denoising and variational autoencoders, their applications, and training techniques.

• YouTube
• 32 minutes
• On-Demand
• Free Video

A Friendly Introduction to Deep Reinforcement Learning, Q-Networks and Policy Gradients

Friendly exploration of deep reinforcement learning concepts, including Markov decision processes, Q-networks, and policy gradients, using examples and visuals to explain complex ideas.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Singular Value Decomposition and Image Compression

Learn singular value decomposition (SVD) and its application in image compression. Explore matrix transformations, dimensionality reduction, and practical implementation techniques.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Restricted Boltzmann Machines - A Friendly Introduction

Friendly introduction to Restricted Boltzmann Machines using real-life examples. Covers key concepts like probabilities, training, contrastive divergence, and Gibbs sampling for machine learning enthusiasts.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Training Latent Dirichlet Allocation: Gibbs Sampling - Part 2

Explore Gibbs sampling for training Latent Dirichlet Allocation models, learning to sort documents into topics efficiently through practical exercises and in-depth explanations.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Latent Dirichlet Allocation - Part 1

Explore Latent Dirichlet Allocation, a powerful machine learning technique for sorting documents by topic. Learn its principles, applications, and implementation in this comprehensive tutorial.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Naive Bayes Classifier - A Friendly Approach

Visual explanation of Bayes' Theorem and Naive Bayes algorithm, applied to spam detection. Accessible approach requiring only basic math skills and a desire to learn.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Principal Component Analysis

Explore dimensionality reduction through PCA, covering variance, covariance, eigenvectors, and eigenvalues. Learn key concepts with visual explanations and practical applications in data analysis.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Support Vector Machines - A Friendly Introduction

Explore Support Vector Machines through visual explanations, covering key concepts like data separation, perceptron algorithm, classification errors, and the C parameter for optimal model performance.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Logistic Regression and the Perceptron Algorithm - A Friendly Introduction

Friendly introduction to logistic regression and perceptron algorithm, covering key concepts like data classification, gradient descent, and neural networks with minimal math and visual explanations.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Linear Regression - A Friendly Introduction

Discover the fundamentals of linear regression through visual explanations, exploring concepts like slope, y-intercept, and error measurement to predict housing prices effectively.

• YouTube
• 31 minutes
• On-Demand
• Free Video

How Does Netflix Recommend Movies? Matrix Factorization

Explore matrix factorization in recommender systems, focusing on Netflix's movie recommendation algorithm. Learn about dependencies, error functions, and predicting user ratings.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Shannon Entropy and Information Gain

Explore Shannon entropy and information gain concepts through interactive examples, quizzes, and games. Learn to calculate probabilities and apply formulas for various scenarios.

• YouTube
• 21 minutes
• On-Demand
• Free Video