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Learn Gradient Descent, earn certificates with paid and free online courses from Alexander Amini, Duke, University of Washington, IIT Kharagpur and other top universities around the world. Read reviews to decide if a class is right for you.
Master Gradient Boost in just 1-2 hours! Learn key concepts of regression and classification in a 4-part series.
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.
Explore gradient descent in deep neural networks with Paul Hand's lecture from Northeastern University. Learn about learning rates and convergence for convex functions in under an hour.
Learn the fundamentals of Gradient Descent in Machine Learning with StatQuest's step-by-step video guide. Ideal for those familiar with Least Squares and Linear Regression.
Learn how neural networks learn through gradient descent in this less than 1-hour material by 3Blue1Brown. Topics include training data, cost functions, and network analysis.
Explore Geodesically Convex Optimization with Avi Wigderson from the Institute for Advanced Study. Dive into computer science and discrete mathematics in this 1-2 hour seminar.
Learn about Gradient Descent Optimizer and Back Propagation Algorithm with Code With Aarohi. This under 1-hour material explains weight updation and loss calculation mathematically.
Learn practical predictive analytics, experiment design, and modern methods of data analysis with this 4-week course from the University of Washington.
Duke University's 4-week course offers foundational understanding of machine learning models, their applications, and hands-on experience with PyTorch.
Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.
Explore optimization algorithms in business, economics, and engineering with this 6-week course from National Taiwan University. Learn to solve linear, integer, and nonlinear programs.
Data science, machine learning, and artificial intelligence in Python for students and professionals
Learn to apply Hidden Markov Models to sequence data in Python, with applications in stock price analysis, language modeling, web analytics, biology, and PageRank. 10-hour workload.
Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.
Learn linear regression from scratch, Statistics, R-Squared, Python, Gradient descent, Deep Learning, Machine Learning
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