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161 Algorithms Training Courses

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Learn C The Hard Way

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It also teaches a full set of useful algorithms that every programmer should know, but explained in the simplest way possible and using C. By the time you're done you should be a much better programmer. Category: Technology Over 1…

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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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A Verifiable Certificate of Completion is presented to all students who undertake this course. Course Duration: 6.5 Hours - 80 Lessons About This Course In this Advanced C++ training course, expert trainer, author and developer Pr…

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System Validation (2): Model process behaviour

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This MOOC shows you how to model process behaviour, in particular protocols and distributed algorithms, dive deeper in the properties of system behaviour, and keep things simple to avoid a state space explosion. Reading material. …

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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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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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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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C++ For C Programmers, Part A

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About this course: This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software. Created by: University of California,…

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Artificial Intelligence Planning

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In this course, for example, you will learn the basic algorithms that are used in robots to deliberate over a course of actions to take. Simpler, reactive robots don't need this, but if a robot is to act intelligently, this type o…

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Interactive Computer Graphics

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Examples include enhancements to graphical user interfaces, authoring tools for 2D drawings and 3D animations, and interactive computer-aided design systems. Rich live demonstrations and course assignments will give you insights a…

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Neural Networks for Machine Learning

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We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well. This course contains the same content presented on Coursera beginning in 2013. It is not a continuation or update of the original …

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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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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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Cloud Computing Concepts, Part 1

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About this course: Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn …

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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…