Machine Learning Courses and Certifications

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

Python Engineer

Machine Learning From Scratch in Python - Full Course With 12 Algorithms

Comprehensive Python implementation of 12 popular machine learning algorithms from scratch, covering KNN, regression, SVM, decision trees, random forests, PCA, K-means, AdaBoost, and LDA.

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

Valerio Velardo - The Sound of AI

Understanding Audio Signals for Machine Learning

Explore audio digital signals, analog-to-digital conversion, and key concepts like sampling, quantization, and aliasing for machine learning applications.

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

Yannic Kilcher

Live Machine Learning Research - Plain Self-Ensembles - Part 1

Live implementation of a novel ensemble model using label-free self-distillation, demonstrating improved accuracy with more students and challenging assumptions about ensemble learning in machine learning research.

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

GDC

Character Control with Neural Networks and Machine Learning

Explore data-driven animation systems using neural networks and machine learning to simplify character control in game development, reducing complexity and resource requirements.

• YouTube
• 54 minutes
• Self-Paced
• Conference Talk

GDC

Machine Learning for Optimal Matchmaking

Explore TrueMatch, a machine learning approach for optimizing matchmaking in real-time, balancing player skill, wait times, and other metrics for improved gaming experiences.

• YouTube
• 54 minutes
• Self-Paced
• Conference Talk

Aleksa Gordić - The AI Epiphany

Machine Learning with Flax - From Zero to Hero

Comprehensive guide to Flax, a JAX-based ML library. Learn basics, custom models, optimization, and practical examples like linear regression and CNN on MNIST. Ideal for ML enthusiasts.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Aleksa Gordić - The AI Epiphany

Coding a Neural Network from Scratch in Pure JAX - Machine Learning with JAX - Tutorial 3

Learn to build and train a neural network classifier using JAX, including weight visualization, embedding analysis with t-SNE, and dead neuron detection.

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

Krish Naik

SVM Kernels In-Depth Intuition - Polynomial Kernels Part 3 - Machine Learning Data Science

Explore polynomial kernels in SVM, understanding their intuition, use cases, and hyperparameter tuning for enhanced machine learning model performance.

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

Krish Naik

Fake News Classifier with Machine Learning and NLP - Part 1

Learn to build a fake news classifier using machine learning and NLP techniques. Covers data preprocessing, feature extraction, and multinomial classification algorithms for detecting misinformation.

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

sentdex

Unsupervised Machine Learning - Flat Clustering with KMeans with Scikit-Learn and Python

Explore flat clustering with KMeans using Scikit-learn and Python. Learn to categorize unlabeled data into specified groups through hands-on coding and visualization techniques.

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

Photoshop Training Channel

The Amazing Power of Photoshop's Machine Learning Filters

Explore Photoshop's Neural Filters to streamline complex workflows using machine learning. Learn to apply non-destructive, generative filters and unleash creative ideas in seconds.

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

Introduction to Image Generation

13 ratings

Explore diffusion models for image generation, their physics-inspired foundations, and learn to train and deploy them on Vertex AI for state-of-the-art results.

• Google Skills
• 30 minutes
• Self-Paced
• Free Online Course

Applied Text Mining in Python

3824 ratings at Coursera

Learn text mining and manipulation in Python, covering NLTK, regex, text cleaning, classification, and topic modeling for advanced document analysis.

• Coursera
• 1 day 1 hour 16 minutes
• Self-Paced
• Paid Course

Intro to Data Science

13 ratings

Learn foundational data science topics: manipulation, analysis, visualization, and big data. Gain practical skills through hands-on application of basic techniques across various domains.

• Udacity
• 8 weeks
• Self-Paced
• Free Online Course