Machine Learning Courses and Certifications

Yannic Kilcher

RoBERTa - A Robustly Optimized BERT Pretraining Approach

Explore how RoBERTa improves BERT's performance through optimized training, challenging recent model enhancements and highlighting the impact of hyperparameter choices in language model pretraining.

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

Nicholas Renotte

Building an ML Cancer Segmentation API in 15 Minutes

Build and deploy a machine learning Cancer Segmentation API using Python, TensorFlow, FastAPI, and Heroku in a quick tutorial. Learn to create a practical ML application for medical imaging analysis.

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

Nicholas Renotte

Attempting to Clone My Voice Using ML

Explore voice cloning with machine learning using CorentinJ's package. Setup, test, and develop on your PC using Python in this hands-on coding livestream.

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

Alan Turing Institute

Data Science for Medicine

Exploring the transformative impact of machine learning on medicine, from personalized diagnosis to treatment estimation and medical discovery, emphasizing novel methods for complex medical data.

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

MattVidPro AI

Llama 3.1 405B Deep Dive - The Best Open Source LLM

Explore Meta's open-source LLAMA 3.1 LLMs, including the 405B model. Compare performance with closed-source models, evaluate capabilities, and learn how to use these AI advancements locally.

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

Artem Kirsanov

The Physics of Associative Memory - Exploring Hopfield Networks

Explore Hopfield networks, a foundational model of associative memory in neuroscience and machine learning. Learn about network architecture, inference, learning, and limitations.

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

Yannic Kilcher

Privacy Backdoors: Stealing Data with Corrupted Pretrained Models - Explained

Explore how tampering with pretrained models can compromise privacy, enabling attackers to reconstruct finetuning data. Learn about privacy backdoors in transformers and their implications for machine learning security.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Statistical Learning I - Foundations and Principles

Explore statistical learning fundamentals with Robert Schapire from Microsoft Research, covering key concepts and applications in machine learning and data analysis.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Explore Mamba, a novel linear-time sequence modeling architecture using selective state spaces. Learn about its advantages over Transformers and its applications in language, audio, and genomics.

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

sentdex

Building an LLM Fine-Tuning Dataset - From Reddit Comments to QLoRA Training

Learn to build a QLoRA fine-tuning dataset for language models using Reddit data. Covers data acquisition, processing, structuring, and training sample creation, culminating in QLoRA training and results analysis.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Shaw Talebi

Local LLM Fine-tuning on Mac (M1 16GB) Using QLoRA and MLX

Fine-tune a local LLM on M1 Mac using MLX and QLoRA. Adapt Mistral 7b to respond like you to YouTube comments, with step-by-step guidance and code examples.

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

Neurosymbolic Programming for Science

Introduction to Symbolic Regression with PySR and SymbolicRegression.jl - Workshop 2

Discover human-interpretable symbolic models using PySR. Learn the search algorithm, explore scientific applications, and practice with interactive coding examples. Translate deep neural networks into interpretable scientific language.

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

Discover AI

Understanding Grokking - A New Performance Phase in Large Language Models

Discover how extended training of LLMs leads to "grokking" - a breakthrough phase where models develop superior generalization abilities and form geometric patterns in embedding spaces.

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

2 in 1: Python Machine Learning PLUS 30 Hour Python Bootcamp

246 ratings at Udemy

Learn model building, algorithms, data science PLUS 30 hours of step by step coding, libraries, arguments, projects +++

• Udemy
• 1 day 20 hours 47 minutes
• Self-Paced
• Paid Course

Blue Prism Machine Learning Skills

228 ratings at Udemy

Leverage the power of machine learning in Blue Prism today!

• Udemy
• 3 hours 7 minutes
• Self-Paced
• Paid Course