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188 Algorithms Training Courses (Page 2)

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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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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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Practical Machine Learning

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The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation. Created by: Johns Hopkins University Taught by: Jeff Leek, PhD, Associate Profess…

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Neural Networks for Machine Learning

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Please be advised that the course is suited for an intermediate level learner - comfortable with calculus and with experience programming (Python). Created by: University of Toronto Taught by: Geoffrey Hinton, Professor Department…

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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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The Modern C++ Challenge

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Test your C++ programming skills by solving real-world programming problems covered in the book Key Features Solve a variety of real-world programming and logic problems by leveraging the power of C++17 Test your skills in using l…

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Interactive Computer Graphics

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About this course: Computer graphics can be a powerful tool for supporting visual problem solving, and interactivity plays a central role i…

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OpenCV with Python By Example

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OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer …

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Artificial Intelligence for Big Data

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Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create s…

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Divide and Conquer, Sorting and Searching, and Randomized Algorithms

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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 1 of 4 in the Algorithms Speci…

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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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Graph Search, Shortest Paths, and Data Structures

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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 2 of 4 in the Algorithms Speci…

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Banach Spaces and their Applications in Analysis

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These articles present overviews of new developments in each of the conference's main areas of emphasis, namely nonlinear theory, isomorphic theory of Banach spaces including connections with combinatorics and set theory, algebrai…

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Matrix Factorization and Advanced Techniques

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About this course: In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition an…

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Net Web site Ranking-How to be Number 1

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Locating a search engine optimization company can be a beneficial resource to comprehend and boost search engine ranking.Search engines have a set of algorithms in place to index or inspect all types of sites. The search engines s…