Machine Learning | Coursera
The Machine Learning Specialization is a beginner-level program aimed at those new to AI and looking to gain a foundational understanding of machine learning models and real-world experience building systems using Python.
Machine Learning Certificate Program (UW) - Coursera
Learn machine learning fundamentals and skills from University of Washington experts in four courses. Build intelligent applications with Python, regression, classification, clustering, and more.
Supervised Machine Learning: Regression and Classification
Learn the fundamentals of machine learning and how to build models for prediction and classification tasks using Python and scikit-learn. This course is part of a Specialization taught by Andrew Ng, an AI visionary and Stanford professor.
Mathematics for Machine Learning Specialization - Coursera
This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science. In the first course on Linear Algebra we look at what linear algebra is and how it relates to data.
IBM Machine Learning Professional Certificate - Coursera
Learn practical skills and knowledge for a career in machine learning in less than 3 months. This program covers topics like supervised and unsupervised learning, regression, classification, clustering, deep learning and reinforcement learning.
IBM Introduction to Machine Learning Specialization - Coursera
Learn machine learning skills through real use cases and earn a career certificate from IBM. This four-course program covers exploratory data analysis, regression, classification, and best practices for machine learning projects.
Deep Learning Certificate Program (DeepLearning.AI) - Coursera
Learn the fundamentals of deep learning and break into AI with this foundational program from Andrew Ng and DeepLearning.AI. Earn a career certificate and master neural networks, optimization, regularization, and more with Python and TensorFlow.
Data Science: Statistics and Machine Learning | Coursera
Learn data science skills from Johns Hopkins University with five courses covering statistics, machine learning, and data products. Each course includes a hands-on, peer-graded assignment to test your knowledge and earn a certificate.
Machine Learning on Google Cloud Specialization - Coursera
Sep 1, 2015 · What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code? When should you use automated machine learning or custom training?
Mathematics for Machine Learning and Data Science …
Learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability. This online program by DeepLearning.AI uses Python programming and visualizations to help you master the math behind machine learning algorithms.
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