Machine Learning
Machine Learning A-Z Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
Machine Learning Specialization Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses.
Deep Dive Into The Modern AI Techniques. You will teach computer to see, draw, read, talk, play games and solve industry problems.
Learn advanced machine learning techniques and algorithms -- including how to package and deploy your models to a production environment.
Python for Data Science and Machine Learning Bootcamp Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
Scala and Spark for Big Data and Machine Learning Learn the latest Big Data technology - Spark and Scala, including Spark 2.0 DataFrames!
Machine Learning, Data Science and Deep Learning with Python Complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks
Data Science and Machine Learning Bootcamp with R Learn how to use the R programming language for data science and machine learning and data visualization!
Machine Learning (By Georgia Tech) Learn about machine learning, the area of artificial intelligence (AI) that is concerned with computational artifacts that modify and improve performance through experience.
Machine Learning (By Columbia University) Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.
Robotics: Vision Intelligence and Machine Learning Learn how to design robot vision systems that avoid collisions, safely work with humans and understand their environment.
Machine Learning AI Certification by Stanford University (Coursera) This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
Learn AI from ML experts at Google (Google) Whether you’re just learning to code or you’re a seasoned machine learning practitioner, you’ll find information and exercises to help you develop your skills and advance your projects.
Machine Learning Certification from University of Washington (Coursera) Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses.
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