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160 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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By the completion of this advanced training course for C++, you will have an in-depth understanding of how to apply advanced programming techniques to achieve your software development needs. Working files are included to allow yo…

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Probabilistic Graphical Models 2: Inference

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These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a …

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C++ For C Programmers, Part A

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The examples and exercises require a basic understanding of algorithms and object-oriented software. Created by: University of California, Santa Cruz Taught by: Ira Pohl, Professor Computer Science Language English How To Pass Pas…

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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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Computational Neuroscience

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About this course: This course provides an introduction to basic computational methods for understanding what nervous systems do and for de…

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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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Finding Hidden Messages in DNA (Bioinformatics I)

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About this course: Named a top 50 MOOC of all time by Class Central! This course begins a series of classes illustrating the power of compu…

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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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By taking this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. Upon completion, you will be able to recognize, when faced with …

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Algorithmic Thinking (Part 1)

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As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand intera…

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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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The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation. Created by: Johns Hopkins University Taught by: Jeff Leek, PhD, Associate Profess…

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Interactive Computer Graphics

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About this course: Computer graphics can be a powerful tool for supporting visual problem solving, and interactivity plays a central role i…