E-Books → Algorithms for Optimization by Mykel J Kochenderfer

Published by: ad-team on 25-09-2021, 21:36 | 0

E-Books → Applied Learning Algorithms for Intelligent IoT (True EPUB)

Published by: voska89 on 22-09-2021, 00:13 | 0

English | 2022 | ISBN: 0367635941 | 527 pages | True EPUB | 8.57 MB
This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics:

E-Books → Algorithms in Bioinformatics - Theory and Implementation

Published by: ad-team on 17-09-2021, 18:51 | 0

E-Books → Introduction to Quantum Algorithms via Linear Algebra Richard J Lipton

Published by: ad-team on 16-09-2021, 04:06 | 0

E-Books → Data Algorithms with Spark Recipes and Design Patterns for Scaling Up using PySpark (Fourth Early Release)

Published by: voska89 on 13-09-2021, 02:45 | 0

English | 2021 | ISBN: 9781492082378 | 924 pages | EPUB | 9.73 MB
Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.

E-Books → Applied Learning Algorithms for Intelligent IoT

Published by: voska89 on 9-09-2021, 21:22 | 0

English | 2021 | ISBN: 0367635941 | 369 pages | True PDF | 22.8 MB
This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics:
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E-Books → Genetic Algorithms and Applications for Stock Trading Optimization

Published by: voska89 on 7-09-2021, 21:23 | 0

English | 2021 | ISBN: 1799841057 | 273 pages | pdf | 3.68 MB
Genetic algorithms (GAs) are based on Darwin's theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system. Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science.
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E-Books → Guide to Programming and Algorithms Using R

Published by: ad-team on 7-09-2021, 01:09 | 0

E-Books → Data Structures and Algorithms Made Easy Data Structure and Algorithmic Puzzles

Published by: voska89 on 3-09-2021, 22:01 | 0

Data Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles By Narasimha Karumanchi
2011 | 432 Pages | ISBN: 819210754X | EPUB | 56 MB
PeelingData Structures and Algorithmsfor interviews[re-printed on 19-November-2015]:Table of Contents:goo.gl/UeLODKSample Chapter:goo.gl/remIdpFound Issue?goo.gl/forms/4Gt72YO81IVideos:goo.gl/BcHq74"Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.A handy guide of sorts for any computer science professional,Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzlesis a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry.The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts.Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in March, and it is coded in C/C++ language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in Java. In short, this book offers solutions to various complex data structures and algorithmic problems.What is unique?Our main objective isn't to propose theorems and proofs about DS and Algorithms. Wetook the direct route andsolved problemsofvarying complexities. That is, each problem corresponds to multiple solutions withdifferent complexities. In other words, we enumerated possible solutions. With this approach, evenwhen anew question arises,weoffer a choice ofdifferent solution strategies based onyour priorities.Topics Covered:IntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSortingSearchingSelection Algorithms [Medians]Symbol TablesHashingString AlgorithmsAlgorithms Design TechniquesGreedy AlgorithmsDivide and Conquer AlgorithmsDynamic ProgrammingComplexity ClassesMiscellaneous ConceptsTarget Audience?These books prepare readers for interviews, exams, and campus work.Language?All code was written in C/C++. If you are usingJava, please search for "Data Structures and Algorithms Made Easy in Java".Also, check out sample chapters and theblog at: CareerMonk.com