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187 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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In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required. The course also features interviews with leading researc…

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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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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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Artificial Intelligence Planning

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The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications. Abou…

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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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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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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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Matrix Factorization and Advanced Techniques

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of Computer Science, Boise State University Taught by: Joseph A Konstan, Distinguished McKnight Professor and Distinguished University Teaching Professor Computer Science and Engineering Basic Info Course 4 of 5 in the Recommender…

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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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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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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…

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Computer Science 273B: Kernel-Based Learning

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This course introduces the students to one of the most influential developments in modern machine learning, namely kernel methods. The course will be focused on familiarizing the student with a number of practical kernel-based alg…

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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 and sentiment analysis, spelling correction, information extraction, parsing, meaning extract…

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Machine Learning

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You'll have the opportunity to implement these algorithms yourself, and gain practice with them. You will also learn some of practical hands-on tricks and techniques (rarely discussed in textbooks) that help get learning algorithm…