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134 Algorithms Training Courses

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2-Day A.I. for Marketing and Growth Course

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date_rangeMonday 20 January 2020 in Kattenburgerstraat 5, 027E, 1018 JA Amsterdam and 3 other dates

WITHOUT CODING Artificial Intelligence can also be used by non-data scientists and companies with smaller data sets. A.I. is no longer reserved for large companies with armies of data scientists and huge data sets. YOU can now lev…

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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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Customer Care and Billing: SPL V2 for Developers

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All coding exercises are in Java and use the Eclipse development platform. At the end of the course, attendees will have a solid understanding of the SPL Framework and how to utilize the API. Learn To Use SPL Services Validate & F…

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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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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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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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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 II

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By taking the two parts of 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,…

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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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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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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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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: …