Object-Oriented Programming with C++

Object-Oriented Programming with C++  The book aims at providing an all-round enrichment of knowledge in the area of object-oriented programming with C++ as the implementation of language. The author has used simple language to explain...

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Learn R in a Day Kindle Edition

Learn R in a Day 'Learn R in a Day' provides the reader with key programming skills through an examples-oriented approach and is ideally suited for academics, scientists, mathematicians and engineers. The book assumes no prior knowledge...

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Deep Learning with Python by Francois Chollet

Deep learning is applicable to a widening range of artificialintelligence problems, such as image classification, speech recognition,text classification, question answering, text-to-speech, and opticalcharacter recognition.Deep Learning with...

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The Quick Python Book by Naomi R Ceder

(adsbygoogle = window.adsbygoogle || []).push({}); Buy: The Quick Python Book, 3E Paperback – Import, 31 May 2018 by Naomi R Ceder (Author) (adsbygoogle = window.adsbygoogle || []).push({}); Pdf download: The...

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Numerical Python by Robert Johansson

Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically...

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Python Continuous Integration and Delivery: A Concise Guide with Examples by Moritz Lenz

Gain the techniques and tools that enable a smooth and efficient software development process in this quick and practical guide on Python continuous integration (CI) and continuous delivery (CD). Based on example applications, this book introduces...

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R language by Michael J. Crawley

R language by Michael J. Crawley    (adsbygoogle = window.adsbygoogle || []).push({}); The R language is recognized as one of the most powerful and flexible statistical software packages and it enables the user to apply...

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Random forest in R Language

In the random forest approach, a large number of decision trees are created. Every observation is fed into every decision tree. The most common outcome for each observation is used as the final output. A new observation is fed into all the trees and taking a majority vote for each classification model. An error estimate is made for the cases...

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XPath in Selenium Webdriver

Automation involves identifying the elements on the UI and performing actions on them, so in order to identify the UI elements there are various locators available on the HTML DOM  by means of which Selenium WebDriver...

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