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Interview Kickstart's Machine Learning course covers everything, from essential Python programming, statistical modeling, and probability to deep learning and NLP. Besides the theoretical content, the course also includes practical skills required to pass an interview that involves system design, algorithmic problem-solving, and data analysis ...
A free course can be "upgraded" to the paid version of a course, which includes instructor's feedback and grades for the submitted assignments, and (if the student gets a passing grade) a certificate of completion. [57] [60] Other Coursera courses, projects, specializations, etc. cannot be audited—they are only available in paid versions ...
His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years. [ 23 ] [ 24 ] As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone (#5), Neural Networks and Deep Learning (#6).
freeCodeCamp (also referred to as Free Code Camp) is a non-profit educational organization [4] that consists of an interactive learning web platform, an online community forum, chat rooms, online publications and local organizations that intend to make learning software development accessible to anyone.
ML (Meta Language) is a general-purpose, high-level, functional programming language.It is known for its use of the polymorphic Hindley–Milner type system, which automatically assigns the data types of most expressions without requiring explicit type annotations (type inference), and ensures type safety; there is a formal proof that a well-typed ML program does not cause runtime type errors. [1]
WorldQuant University's entirely-free, accredited, online MSc in Financial Engineering Program integrates mathematical, statistical, and computer science tools with finance theory and professional business skills. The two-year program consists of nine graduate-level courses and a Capstone course during which students complete a culminating project.
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OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...