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106 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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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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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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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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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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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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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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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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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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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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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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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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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 recognition, image segmentation, modeling language and human motion, etc. We'll emphasize b…

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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…