Machine Learning Courses and Certifications

Yannic Kilcher

End-to-End Adversarial Text-to-Speech - Paper Explained

Explore end-to-end adversarial text-to-speech synthesis, tackling alignment challenges and producing high-quality audio directly from text input using innovative neural network architectures and training techniques.

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

Yannic Kilcher

Concept Learning with Energy-Based Models

Explore energy-based models for concept learning, focusing on their ability to generalize, reason abstractly, and solve problems creatively with limited data through inference-time optimization.

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

Yannic Kilcher

Do ImageNet Classifiers Generalize to ImageNet? - Paper Explained

Exploring ImageNet classifiers' generalization capabilities through new test datasets, revealing surprising accuracy drops and insights into model performance on slightly "harder" images.

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

Yannic Kilcher

Adversarial Examples Are Not Bugs, They Are Features

Explore the concept of adversarial examples in machine learning, their origins, and implications for AI robustness and human-AI alignment.

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

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

Data Science Dojo

Text Analytics Fundamentals - Introduction to Text Analytics with R Part 2

Explore text analytics fundamentals including data splitting, stratified sampling, tokenization, stop words, stemming, and the bag-of-words model for effective machine learning with R.

• 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

Hacking AI - Security & Privacy of Machine Learning Models

Explore adversarial machine learning with Prof. Dan Boneh, examining security challenges in AI models, defenses against attacks, and the balance between accuracy and privacy in ML systems.

• YouTube
• 58 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

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

Machine Learning Master Class |With LLM, RAG, AI Agents, XAI

222 ratings at Udemy

Comprehensive Course Covering Machine Learning, Deep Learning, Explainable AI and AutoML

• Udemy
• 9 hours 54 minutes
• Self-Paced
• Paid Course

ChatGPT for Python Data Science and Machine Learning

216 ratings at Udemy

Master Data Analysis, Regression, Classification, Clustering and Pandas Coding with ChatGPT! A Project-based Course.

• Udemy
• 14 hours 10 minutes
• Self-Paced
• Paid Course