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128 Algorithms Training Courses

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Learn C The Hard Way

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"Learn C The Hard Way" (available online at http://c.learncodethehardway.org) will introduce the C programming language to beginning/intermediate programmers who know one other language. It will teach modern well written C code as…

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The 7 Essential Steps To Getting Your Dream Career

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Tom Cassidy - Internationally Published Author, Thought Engineer, Reasonable Polymath, using algorithms to help people crack the deepest issues of their lives: self-worth, self-belief, goal-achieving, feeling good, achieving susta…

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Advanced C++ Programming Training Course

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You will learn advanced topics in this training course such as Polymorphism, creating templates, working with exception handling, stream input/output management, associative containers, algorithms, stacks, queues and binary trees,…

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Intro to Theoretical Computer Science

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Solving Hard Problems This class teaches you about basic concepts in theoretical computer science—such as NP-completeness—and what they imply for… Class Summary This class teaches you about basic concepts in theoretical computer s…

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C++ For C Programmers, Part A

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Created by: University of California, Santa Cruz Taught by: Ira Pohl, Professor Computer Science Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.3 stars Average User Rating 4.3See wh…

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Probabilistic Graphical Models 2: Inference

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About this course: Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: …

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On Strategy : What Managers Can Learn from Great Philosophers

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About the Course The business world is at first sight a world of numbers. Accounting, algorithms, processes, quarterly figures, market shar…

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Approximation Algorithms Part II

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About this course: Approximation algorithms, Part 2 This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefin…

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Computational Neuroscience

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We will make use of Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. The course is primarily aimed at third- or fourth-year undergraduates and begin…

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System Validation (2): Model process behaviour

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It is the next logical step in computer science and improving software development in general. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the …

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Approximation Algorithms Part I

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About this course: Approximation algorithms, Part I How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? Thes…

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Genome Sequencing (Bioinformatics II)

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We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. In the first half of the course, we will see that biologists cannot read the 3 billion nucleotides of a human genome…

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Practical Machine Learning

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About this course: One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an …

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Artificial Intelligence Planning

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The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications. Abou…

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Neural Networks for Machine Learning

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About this course: Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object …