Machine Learning Courses and Certifications

1littlecoder

Kaggle 30 Days of ML Learning - Beginner-Friendly Machine Learning Challenge

Embark on a 30-day journey through Python fundamentals and machine learning essentials, from basic programming concepts to advanced ML techniques like XGBoost and SHAP interpretability.

• YouTube
• 10 hours 57 minutes
• Self-Paced
• Free Video

Great Learning

Decision Tree in Data Mining and Machine Learning - Algorithm Tutorial

This 'Decision Tree in Data Mining' video will help you to comprehensively learn all the concepts of decision tree such as Impurity, Gini index, and pruning.

• YouTube
• 2 hours 20 minutes
• Self-Paced
• Free Video

Great Learning

Statistics for Machine Learning - Full Course

Comprehensive overview of statistical concepts for machine learning, covering probability, distributions, hypothesis testing, and practical implementation in R.

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

Great Learning

Linear Regression Machine Learning - Linear Regression in R and Python

This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression. You will also learn how to implement linear regression in both R language and Python language

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

Derek Banas

Probability for Data Science & Machine Learning

Comprehensive overview of probability concepts for data science and machine learning, covering key formulas and real-world applications in a concise, accessible format.

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

Weights & Biases

Probability - Math for Machine Learning

Explore core probability concepts for machine learning, including surprises, loss functions, and Gaussians. Gain insights into the mathematical foundations of ML algorithms.

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

Weights & Biases

Linear Algebra - Math for Machine Learning

Explore core linear algebra concepts essential for machine learning, including arrays, linear functions, and SVD, with practical applications and programming analogies.

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

Yannic Kilcher

Mastering Atari with Discrete World Models - Machine Learning Research Paper Explained

Explore cutting-edge reinforcement learning with DreamerV2, a model-based AI agent achieving human-level performance on Atari games using discrete world models and latent space predictions.

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

Yannic Kilcher

TransGAN - Two Transformers Can Make One Strong GAN - Machine Learning Research Paper Explained

Explore TransGAN, a novel approach using transformers for image generation. Learn about its architecture, key techniques, and competitive performance in various datasets.

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

Code Monkey

How to Solve a Match-3 with Machine Learning - Unity ML-Agents

Learn to implement machine learning in a Match-3 game using Unity ML-Agents, covering setup, training, and results analysis for AI-powered gameplay optimization.

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

TensorFlow

Cloud TPU Pods - AI Supercomputing for Large Machine Learning Problems

Explore Cloud TPU Pods for AI supercomputing, enabling large-scale model parallelism in deep learning. Learn technical details and new TensorFlow features for accelerating machine learning workloads.

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

TensorFlow

Machine Learning on Your Device - The Options

Explore TensorFlow's options for integrating machine learning into mobile apps and edge devices, from model training to deployment using TensorFlow Lite.

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

TensorFlow

Advances in Machine Learning and TensorFlow - Google I/O '18

Explore cutting-edge machine learning applications in robotics, astronomy, and art through short presentations by top TensorFlow researchers at Google I/O '18.

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

The Julia Programming Language

Scientific Machine Learning: Opportunities and Challenges - Keynote

Explore Scientific Machine Learning: combining physics-based models with ML for complex phenomena, addressing challenges in computational science, and revolutionizing fields like rocket engine combustion analysis.

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

The Julia Programming Language

Flux - The Elegant Machine Learning Library for Julia

Explore Flux, an intuitive machine learning library for Julia, featuring state-of-the-art performance, automatic differentiation, and innovative compiler technology for efficient and flexible ML development.

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