Yacine Mahdid Courses

Log Softmax Explained with Python

Explore log softmax implementation in Python, enhancing numerical stability for machine learning. Gain insights into softmax limitations and practical coding solutions.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

QHAdam Optimizer - Theory and Implementation in PyTorch

Dive into the theory and implementation of QHAdam optimizer, exploring its formulas, performance benefits, and practical PyTorch implementation through detailed code examples and mathematical breakdowns.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

How to Read Math in Deep Learning Papers - A 5-Step Process

Learn a 5-step method to decipher mathematical formulas in deep learning papers, enhancing your understanding and intuition of complex AI concepts.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

DenseNet Deep Neural Network Architecture Explained

Comprehensive explanation of DenseNet architecture, including its benefits and implementation in PyTorch. Covers theory, results, and practical coding walkthrough for deep learning enthusiasts.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Stochastic Depth for Neural Networks - Implementation and Analysis

Explore stochastic depth in neural networks: a regularization method for residual networks that enhances training speed and test performance. Includes methodology explanation and PyTorch implementation.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Guide to Scientific Research in Undergraduate Studies - From Lab Selection to Success

Discover a proven step-by-step approach to securing undergraduate research positions in labs, from identifying your interests and time commitment to successfully landing and maximizing research opportunities.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

A Systematic Approach to Reading Deep Learning Codebases

Master a systematic approach to understanding complex deep learning codebases, from initial paper review to mapping structure and components, with practical examples using SAM1.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Machine Learning with EEG Time-Series - Easy Python Project - Part 0

Learn to classify EEG data between awake and asleep states using Python and random forest. Covers data loading, preprocessing, feature engineering, and machine learning implementation.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

In-Context Learning in Deep Learning - How It Works in Large and Small Language Models

Explore in-context learning in LLMs: definition, significance, Bayesian framework, and implementation. Gain insights into this surprising capability of language models and its implications for AI.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Selecting the Right Cross-Validation Method in Machine Learning

Learn to choose the right cross-validation method for your machine learning model based on data characteristics, including hold-out, k-fold, time-split, and group-fold techniques.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Sleep Classification with Python Using EEG, Sklearn and MNE - Part 1

Enhance EEG sleep stage classification using Python, Sklearn, and MNE. Expand dataset, add new class, and implement Leave-One-Subject-Out cross-validation for improved results.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Segment Anything Model (SAM) - Deep Dive into Meta's Image Segmentation Foundation Model

Dive into Meta's Segment Anything Model (SAM), exploring its architecture, implementation, and zero-shot capabilities for advanced image segmentation tasks through detailed code analysis and practical demonstrations.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Practical Guide to Implementing AI Projects in Business

Master practical steps for implementing AI projects in business settings, from problem identification and data structuring to solution iteration and deployment.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Group Relative Policy Optimization (GRPO) - Formula and Implementation Tutorial

Dive into Group Relative Policy Optimization (GRPO) with a detailed walkthrough of formulas and code implementation, focusing on DeepSeek R1 architecture and HuggingFace post-training techniques.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

How to Start Learning AI Engineering Effectively as a Software Developer

Discover effective learning paths for AI engineering as a software developer, with recommended tools, projects, and resources to build your skills without analysis paralysis.

• YouTube
• 12 minutes
• Self-Paced
• Free Video