Gradient Descent Courses and Certifications

Paul Hand

Gradient Descent and Stochastic Gradient Descent

Explore gradient descent and stochastic gradient descent in deep neural networks, covering convergence rates, learning rate effects, and challenges in optimization algorithms.

• YouTube
• 57 minutes
• On-Demand
• Free Video

AutoML Seminars

Gradient Descent: The Ultimate Optimizer - Automating Hyperparameter Optimization

Discover how to automatically optimize hyperparameters in gradient-based ML algorithms through an elegant modification to backpropagation, making optimizer tuning more efficient and less sensitive to initial choices.

• YouTube
• 30 minutes
• On-Demand
• Free Video

VinAI

Functional Gradient Descent Methods for Optimization and Sampling

Explore advanced gradient descent techniques for complex optimization and sampling problems in machine learning, including Stein variational gradient descent and neural architecture optimization.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Learn the basics of deep learning and implement your own deep neural networks with PyTorch

• Udacity
• 8 weeks
• On-Demand
• Free Online Course

Introduction to Deep Learning

Explore foundational deep learning theory and practice, covering key algorithms, architectures, and implementation in PyTorch. Develop skills to design and train neural networks for real-world applications.

• Udacity
• 4 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Introduction to Neural Networks with TensorFlow

Learn the fundamentals of neural networks with Python and TensorFlow, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to cla…

• Udacity
• 3 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Introduction to Neural Networks with PyTorch

Learn the fundamentals of neural networks with Python and PyTorch, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classi…

• Udacity
• 3 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Advanced Calculus for Machine Learning

Master advanced calculus concepts essential for machine learning, including multivariable functions, derivatives, and gradient optimization methods for solving complex mathematical problems.

• CodeSignal
• On-Demand
• Free Certificate

Foundations of Optimization Algorithms

Master optimization algorithms from Newton's Method to adaptive learning rates, covering gradient descent, momentum techniques, and Adagrad for effective machine learning model tuning.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Supervised Machine Learning

Master supervised machine learning through hands-on wine quality prediction, implementing linear and logistic regression models while exploring feature analysis, gradient descent, and model evaluation techniques.

• CodeSignal
• On-Demand
• Free Certificate

Neural Networks Basics from Scratch

Master neural network fundamentals by building core AI components from scratch, including perceptrons, activation functions, and backpropagation - all without relying on high-level libraries.

• CodeSignal
• On-Demand
• Free Certificate

Microcredential

AI Theory and Coding

Master the fundamentals of AI by implementing machine learning algorithms from scratch, covering regression, classification, optimization, ensemble methods, clustering, and neural networks with hands-on coding.

• CodeSignal
• On-Demand
• Free Certificate
• 6 courses

Practical Predictive Analytics: Models and Methods

319 ratings at Coursera

Explore statistical experiment design, analytics, and machine learning methods. Learn to design experiments, analyze results, and apply classification and unsupervised learning techniques to solve real-world problems.

• Coursera
• 6 hours 33 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Machine Learning

3625 ratings at Coursera

Foundational understanding of machine learning models, hands-on implementation with PyTorch, and applications across industries from medical diagnostics to image recognition and text prediction.

• Coursera
• 1 day 1 hour 32 minutes
• On-Demand
• Free Online Course (Audit)

Operations Research (2): Optimization Algorithms

134 ratings at Coursera

Explore optimization algorithms for linear, integer, and nonlinear programs. Learn efficient methods like simplex, branch-and-bound, gradient descent, and Newton's method. Apply concepts to real-world business cases.

• Coursera
• 12 hours
• On-Demand
• Free Online Course (Audit)