Writing in the SciencesStanford University This is a course EVERYONE should takeβprinciples, tricks, tips, formats for both scientific...

Probabilistic Graphical Models SpecializationStanford University A souvenir from Coursera for those days alone and nights sleepless, dedicated to...

Probabilistic Graphical Models 3: Learning (with Honors)Stanford University This course “PGM Learning” almost killed me – I restudied...

Probabilistic Graphical Models 2: Inference (with Honors)Stanford University A very challenging course! The programming assignments (clique tree, sampling...

Probabilistic Graphical Models 1: Representation (with Honors)Stanford University HAHA, certificate with Honors! PGM, it is said this is...

Machine LearningStanford University The course is taught by Andrew Ng. Probably this is the most popular and famous...

Andrew Ng Anna Koop Brenda Gunderson Computer Communications Specialization Cryptography Differential Equations for Engineers Economics of Money and Banking Evgenii Vashukevich Foundations of Quantum Mechanics Garud Iyengar Ivan Vybornyi Jeffrey Chasnov John Daily Jonathan Katz Kevin Webster Ling-Chieh Kung Machine Learning: Algorithms in the Real World Martin Haugh Mathematics for Engineers Specialization Matthew Hutchens Michael Donohoe Michael Fricke Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization Operations Research (3): Theory Perry Mehrling Petro Lisowsky Physical Basics of Quantum Computing Practical Reinforcement Learning Rebekah May Search Engine Optimization (SEO) Specialization Sergey Sysoev Statistical Thermodynamics Specialization Statistics with Python Specialization Taxation of Business Entities I: Corporations TensorFlow 2 for Deep Learning Specialization U.S. Federal Taxation Specialization Understanding Modern Physics I: Relativity and Cosmology Wounjhang Park Xiaobo Zhou Yi Wang

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