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Learn Supervised Learning, earn certificates with free online courses from Stanford, MIT, University of Michigan, Johns Hopkins and other top universities around the world. Read reviews to decide if a class is right for you.
Learn the basics of machine learning with hands-on practical examples on engineering applications.
Learn about the elements of AI, machine learning and computer vision. Discover the open-source AI tools, and hidden AI gems. Learn how to play with architectural design data using freely available AI model.
Learn how to deploy artificial intelligence to control and calibrate semiconductor quantum computing chips
Comprehensive introduction to machine learning concepts and TensorFlow implementation, covering classification, regression, neural networks, and unsupervised learning techniques for beginners.
In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each o…
In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning!
Beginner-friendly introduction to machine learning for non-engineers. Learn core concepts, data types, algorithms, and practical applications. Develop skills to translate real-world challenges into ML solutions using accessible tools.
Explore techniques transforming industries: supervised, unsupervised, and reinforcement learning. Gain insights into AI's impact on various sectors and daily life.
Explore machine learning basics, algorithms, and models using Python. Learn supervised and unsupervised techniques, statistical modeling, and real-world applications. Gain practical skills in classification, regression, clustering, and dimensionality red…
Explore AI, machine learning, and deep learning concepts, including supervised, unsupervised, and reinforcement learning paradigms. Learn when to use traditional ML or deep neural networks for audio applications.
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.
Comprehensive introduction to deep learning fundamentals, covering neural networks, learning types, architectures, and model development steps. No coding required, ideal for beginners.
Master fundamental machine learning concepts and build predictive models using Python, from supervised learning and regression to decision trees and scikit-learn implementation.
Master fundamental data science concepts, from machine learning and AI to statistical analysis and data visualization, preparing for work with massive datasets and modern analytics.
Explore machine learning applications in plant sciences through Python exercises, covering key concepts and real-world examples to implement and evaluate ML approaches in plant biology.
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