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188 Algorithms Training Courses

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2-Day A.I. for Marketing and Growth Course (Machine Learning, Big Data, Artificial Intelligence)

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date_rangeThursday 28 March 2019 in Kattenburgerstraat 5, 1018 JA Amsterdam
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Understand all the concepts and jargon of Machine Learning and Artificial Intelligence.Select and execute A.I. algorithms for business purposes such as predictions, segmentation and NLP (Natural Language Processing). Fully underst…

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Learn C The Hard Way

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This will be the companion course to my new book, "Learn C The Hard Way" whch I'm working on right now. As I complete enough exercises in the book I'll be creating videos and putting them in this course. If you sign up for the cou…

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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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You should have a basic understanding of algorithms (such as CS215) and programming (such as CS101). No prior knowledge about theoretical computer science required! What Will I Learn? At the end of this course, you will have a sol…

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Customer Care and Billing: SPL V2 for Developers

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Learn To Use SPL Services Validate & Format Algorithms Business Entities Use Batch Processing - Simple & To Do Creation Use Artifact Generator Use Change Handlers, Messages & Unit Testing Audience Application Developers Business I…

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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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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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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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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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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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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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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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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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Computational Neuroscience

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Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave/Python demo…