Stochastic Gradient Descent Courses and Certifications

Stanford Seminar - Deep Learning in Speech Recognition

Stanford University offers a deep dive into the application of Deep Learning in Speech Recognition, covering AI history, neural networks, and Siri architecture.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Online Course

Information Theory of Deep Learning - Naftali Tishby

Explore Stanford's seminar on the information theory of deep learning, led by Naftali Tishby. Learn about large scale learning with deep neural networks and the benefits of hidden layers.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Online Course

Neural Networks Made Easy

33 ratings at Udemy

Learn the fundamentals of neural networks and deep learning, with a focus on coding from scratch. This course, requiring 1-2 hours of study, uses Python, NumPy, and Pandas.

• Udemy
• 1-2 hours
• On-Demand
• Free Online Course

Intro to Deep Learning

2 reviews

Use TensorFlow and Keras to build and train neural networks for structured data.

• Kaggle
• 4 hours
• On-Demand
• Free Certificate

Building Classification Models with scikit-learn

48 ratings at Pluralsight

This course covers several important techniques used to implement classification in scikit-learn, starting with logistic regression, moving on to Discriminant Analysis, Naive Bayes and the use of Decision Trees, and then even more advanced techniques suc…

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Institute for Pure & Applied Mathematics (IPAM)

Gradient Descent, Stochastic Gradient Descent, and Acceleration - Part 2

Explore gradient-based optimization methods for large scale machine learning problems with Adam Oberman from McGill University. Offered by IPAM, UCLA.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Online Course

Hausdorff Center for Mathematics

Large Scale Machine Learning and Convex Optimization - Lecture 1

Explore large-scale machine learning and convex optimization with the Hausdorff Center for Mathematics. Learn online algorithms, stochastic gradient descent, and novel Newton-based methods.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Online Course

ACCU Conference

Turtles! Hill Climbing! Hammers! Paper Bags!

Explore machine learning techniques with ACCU Conference's online material. Learn to program using turtle graphics, understand stochastic gradient descent, simulated annealing, and get a basic understanding of neural networks.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Conference Talk

EuroPython Conference

A Gentle Introduction to Data Science

Explore the basics of data science, including AI, machine learning in Python, and practical applications, in this less than 1-hour talk from the EuroPython Conference.

• YouTube
• 32 minutes
• On-Demand
• Conference Talk

Practical Deep Learning for Coders - Full Course

Learn practical deep learning for coders in an 11-hour course, covering modules, p values, deployment, SGD, data ethics, and collaborative filtering.

• freeCodeCamp
• 11 hours
• On-Demand
• Free Online Course

Great Learning

Multilayer Perceptron - Back Propagation in Neural Networks

This tutorial on "Multi-Layer Perceptron" will help you to master all the core concepts of multi layer perceptrons and deep neural networks.

• YouTube
• 2 hours 8 minutes
• On-Demand
• Free Online Course

Great Learning

Stochastic Gradient Descent

Master Stochastic Gradient Descent with Great Learning in a 1-2 hour program. Understand its workings, advantages, and differences from Gradient Descent. Earn a free certificate upon completion.

• YouTube
• 1 hour 37 minutes
• On-Demand
• Free Online Course

IEEE

Differentially Private Model Publishing for Deep Learning

Learn to train neural networks with a differentially private approach, optimizing privacy loss and model accuracy, in this short IEEE offering.

• YouTube
• 23 minutes
• On-Demand
• Free Online Course

IEEE

SecureML - A System for Scalable Privacy-Preserving Machine Learning

Learn scalable privacy-preserving machine learning techniques with IEEE's online material. Understand linear and logistic regression, neural networks, and secure arithmetic operations in under an hour.

• YouTube
• 19 minutes
• On-Demand
• Free Online Course

Alexander Amini;  MIT

MIT: Introduction to Deep Learning

Dive into the foundations of Deep Learning with MIT's Alexander Amini. Learn about perceptrons, neural networks, loss optimization, and more in under an hour.

• YouTube
• 45 minutes
• On-Demand
• Free Online Course