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188 Algorithms Training Courses (Page 7)

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Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

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In a University computer science curriculum, this course is typically taken in the third year. Created by: Stanford University Taught by: Tim Roughgarden, Professor Computer Science Basic Info Course 3 of 4 in the Algorithms Speci…

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Computer Vision: The Fundamentals

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In this course, we will study the concepts and algorithms behind some of the remarkable successes of computer vision - capabilities such as face detection, handwritten digit recognition, reconstructing three-dimensional models of …

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Neural Networks for Machine Learning

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Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image …

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Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

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About this course: In this project-centered course you will build a modern software hierarchy, designed to enable the translation and execution of object-based, high-level languages on a bare-bone computer hardware platform. In pa…

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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

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- Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, - Be able to implement and apply a variety of optimization algorithm…

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Image and video processing: From Mars to Hollywood with a stop at the hospital

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In this class you will look behind the scenes of image and video processing, from the basic and classical tools to the most modern and advanced algorithms. About the Course What is image and video processing? Images and videos are…

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Algorithms on Strings

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All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine us…

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Cluster Analysis in Data Mining

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Created by: University of Illinois at Urbana-Champaign Taught by: Jiawei Han, Abel Bliss Professor Department of Computer Science Basic Info Course 5 of 6 in the Data Mining Specialization Language English How To Pass Pass all gra…

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Tensor Analysis

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Tensor calculus is a prerequisite for many tasks in physics and engineering. This book introduces the symbolic and the index notation side …

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Artificial Intelligence and Machine Learning Fundamentals

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Create AI applications in Python and lay the foundations for your career in data science Key Features Practical examples that explain key machine learning algorithms Explore neural networks in detail with interesting examples Mast…

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Apache Spark Graph Processing

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Develop iterative and efficient graph algorithms using message aggregation and Pregel abstraction Extract subgraphs and use it to discover common clusters Analyze graph data and solve various data science problems using real-world…

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App Design and Development for iOS

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About this course: In App Design and Development for iOS, the third course of the iOS App Development with Swift specialization, you will be developing foundational programming skills to support graphical element presentation and …

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Software Security

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About this course: This course we will explore the foundations of software security. We will consider important software vulnerabilities and attacks that exploit them -- such as buffer overflows, SQL injection, and session hijacki…

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Write your first Machine Learning algorithm in 2 hours

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While learning algorithms can be complex, quite often the basic ideas are much simpler. I'll give an introduction to classification, a major application of "Machine Learning". The goal is to automate the labeling of documents base…

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Media Programming

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Programming is a way of organizing a task so that it is replicable by something else—a computer. If you have ever given someone directions, or written down a recipe, you have some experience with programming. Learning more about p…