Aladdin Persson Courses

K-Nearest Neighbor From Scratch - Machine Learning Python

Implementación desde cero del clasificador K-Nearest Neighbor en Python, incluyendo una versión intuitiva y otra eficiente sin bucles para el aprendizaje automático.

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

Pytorch ResNet Implementation from Scratch

Learn to implement ResNet models (ResNet50, ResNet101, ResNet152) from scratch using PyTorch. Gain insights into the architecture and practical coding techniques for deep learning.

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

PyTorch GoogLeNet - InceptionNet Implementation from Scratch

Learn to implement GoogLeNet/InceptionNet from scratch in PyTorch, with explanations of network architecture and step-by-step coding guidance.

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

Cryptography - Hill Cipher Python

Learn to implement the Hill cipher encryption algorithm in Python, with step-by-step explanations and code examples for this challenging cryptographic technique.

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

Neural Network from Scratch with Python - Part 4

Implement a neural network using Numpy, learning to build deep learning models from the ground up without relying on high-level frameworks.

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

Deep Neural Networks for YouTube Recommendations

Explore deep neural networks for YouTube recommendations, analyzing the architecture and techniques used to enhance user experience and content discovery on the platform.

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

FrugalGPT: How to Not Get Broke Using GPT4

Learn cost-effective strategies for utilizing GPT-4, maximizing its potential while minimizing expenses. Discover tips and tricks to optimize your usage and get the most value from this powerful AI tool.

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

Google PALM2 - Is It Better Than GPT4?

Explore the capabilities of Google's PALM2 language model and compare its performance to GPT-4, examining key features and potential applications in AI technology.

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

Are LLMs the Future of Recommender Systems?

Explore the potential of Large Language Models in revolutionizing recommender systems, discussing their advantages, challenges, and future implications for personalized content delivery.

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

Experimenting with Alpaca & LLaMA

Explore Alpaca and LLaMA models in real-time, gaining hands-on experience with cutting-edge language AI technologies and their practical applications.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

Everything You Need to Know About GPT-4

Comprehensive overview of GPT-4's capabilities, improvements, and potential applications, exploring its advancements in language understanding and generation compared to previous models.

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

What's LLaMA? ChatLLaMA? - And Some ChatGPT/InstructGPT

Explore LLaMA, ChatLLaMA, and other language models, understanding their capabilities, differences, and potential applications in AI and natural language processing.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Matrix Factorization Techniques for Recommender Systems

Explore matrix factorization techniques for building effective recommender systems, covering key concepts and practical implementation strategies.

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

Paper Time - The Netflix Recommender System

Explore Netflix's innovative recommender system, its algorithms, and impact on user experience in this in-depth analysis of personalized content delivery.

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

Building DietGPT: Evaluating Model Performance - Part 3

Dive into practical metrics and evaluation techniques for Large Language Models, focusing on analyzing predictions, outliers, and performance visualization.

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