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70 Algorithms Training Courses

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Learn C The Hard Way

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"Learn C The Hard Way" (available online at http://c.learncodethehardway.org) will introduce the C programming language to beginning/intermediate programmers who know one other language. It will teach modern well written C code as…

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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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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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OpenCV with Python By Example

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Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features fr…

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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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Artificial Intelligence and Machine Learning Fundamentals

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Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by …

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Advanced Pay Per Click (PPC) Certification Training (online marketing)

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Be familiar with the auction model, ranking algorithms, and post-click activity. Understand the differences between various search engines and how each one can affect a campaign. Be able to assess the market shared by the search e…

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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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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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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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Reason 7 105: Working With Audio

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Next he dives into Reason’s cool algorithms for time-stretching (and shrinking) audio. Hollin even shows you how to record pre-processed audio using Reason’s amazing arsenal of effects. Did anyone say sampling ? Yes, you can sampl…

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Machine Learning Fundamentals

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In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms. Using real-world case studies, you will learn how …

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Introduction to Analytics Modeling

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You will learn how to use statistical models and machine learning as well as models for: classification; clustering; change detection; data smoothing; validation; prediction; optimization; experimentation; decision making.

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NP-Complete Problems

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Step into the area of more complex problems and learn advanced algorithms to help solve them. This course, part of the Algorithms and Data Structures MicroMasters program, discusses inherently hard problems that you will come acro…

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Big Data Fundamentals

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You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big da…