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189 Algorithms Training Courses (Page 2)

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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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Algorithmic Thinking (Part 1)

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As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand intera…

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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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Created by: University of Toronto Taught by: Geoffrey Hinton, Professor Department of Computer Science Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.5 stars Average User Rating 4.5…

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Apache Spark Graph Processing

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Basic programming experience with Scala is assumed. Basic knowledge of Spark is assumed. What You Will Learn Write, build and deploy Spark applications with the Scala Build Tool. Build and analyze large-scale network datasets Anal…

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Algorithms: Design and Analysis, Part 2

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About this course: Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This course is an introduction to algorithms for learners with at least a little …

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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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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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Graph Search, Shortest Paths, and Data Structures

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Who is this class for: Learners with at least a little bit of programming experience who want to learn the essentials of algorithms. In a University computer science curriculum, this course is typically taken in the third year. Cr…

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Divide and Conquer, Sorting and Searching, and Randomized Algorithms

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Who is this class for: Learners with at least a little bit of programming experience who want to learn the essentials of algorithms. In a University computer science curriculum, this course is typically taken in the third year. Cr…

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Matrix Factorization and Advanced Techniques

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Then you will learn about techniques that combine the strengths of different algorithms into powerful hybrid recommenders. Created by: University of Minnesota Taught by: Michael D. Ekstrand, Assistant Professor Dept. of Computer S…

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Natural Language Processing

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This course covers a broad range of topics in natural language processing, including word and sentence tokenization, text classification an…

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Oracle Utilities: MWM v2 Functionality for Implementers

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Students are taught information regarding Resource Planning configuration as well as Oracle Real-time Scheduling parameters, basic framewor…

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Computer Science 273B: Kernel-Based Learning

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The course will be focused on familiarizing the student with a number of practical kernel-based algorithms (such as “support vector machines”, “kernel Fisher Discrimination”, “kernel principal components analysis” and “Gaussian pr…

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Oracle9i Database: Space and Transaction Management

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Through in-depth classroom lecture, participants learn about the space allocation algorithms used by Oracle9i for free lists, and the new automatic segment space managed segments. The internal structures of these different segment…