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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
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Learn Unsupervised Learning, earn certificates with free online courses from Stanford, Alexander Amini, Johns Hopkins, Georgia Tech and other top universities around the world. Read reviews to decide if a class is right for you.
Develop practical understanding of machine learning techniques for investment processes, covering algorithms, performance evaluation, and ethical considerations tailored for industry professionals.
Gain in-demand AI and Machine Learning skills through hands-on projects, covering supervised and unsupervised learning, deep learning, and reinforcement learning. Build a portfolio and earn an IBM Professional Certificate.
Master R for data analysis: from preprocessing to advanced machine learning algorithms. Gain practical skills in clustering, classification, and dimension reduction using real-world datasets and popular R packages.
Master statistical analysis and data clustering using Python, from basic statistics to K-means algorithm implementation. Work with Pandas for data manipulation and complete hands-on clustering projects.
Master core AI and ML algorithms through hands-on exploration of supervised, unsupervised, and reinforcement learning. Apply feature engineering, understand deep learning models, and evaluate techniques for real business solutions.
Master data preparation techniques for machine learning using H2O's Driverless AI, covering tabular formats, time series analysis, and automated preprocessing for both supervised and unsupervised learning scenarios.
Learn about machine learning, the area of artificial intelligence (AI) that is concerned with computational artifacts that modify and improve performance through experience.
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
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…
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…
Comprehensive introduction to deep learning fundamentals, covering neural networks, learning types, architectures, and model development steps. No coding required, ideal for beginners.
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