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R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
  • Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
  • Build models relating to neural...
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Excel VBA Programming For Dummies
Excel VBA Programming For Dummies

Take control of your spreadsheets and use VBA to create your own custom Excel applications

Author and Excel guru John Walkenbach, known to his devoted fans as "Mr. Spreadsheet," guides you through taking your Excel skills to the next level by creating your own customized spreadsheet solutions using...

Full-Stack React Projects: Modern web development using React 16, Node, Express, and MongoDB
Full-Stack React Projects: Modern web development using React 16, Node, Express, and MongoDB

Unleash the power of MERN stack by building diverse web applications using React, Node.js, Express, and MongoDB

Key Features

  • Create dynamic web applications with the MERN stack
  • Leverage the power of React in building interactive and complex user interfaces
  • ...
Introduction to Machine Learning with R: Rigorous Mathematical Analysis
Introduction to Machine Learning with R: Rigorous Mathematical Analysis

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more...

Introduction to Linear Algebra, Third Edition
Introduction to Linear Algebra, Third Edition

This informally written text provides students with a clear introduction into the subject of linear algebra. Topics covered include matrix multiplication, row reduction, matrix inverse, orthogonality and computation. The self-teaching book is loaded with examples and graphics and provides a wide array of probing problems, accompanying...

Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Build a strong foundation of machine learning algorithms in 7 days

Key Features

  • Use Python and its wide array of machine learning libraries to build predictive models
  • Learn the basics of the 7 most widely used machine learning algorithms within a week
  • Know...
Advanced Excel Essentials
Advanced Excel Essentials

Advanced Excel Essentials is the only book for the experienced Excel developer. This book starts from the assumption that you are well-versed in Excel--and builds on your skills to take them to the advanced level. It will show you the building blocks of advanced development and then take you through the development of your own advanced...

Excel VBA Programming For Dummies
Excel VBA Programming For Dummies

Take your data analysis and Excel programming skills to new heights

In order to take Excel to the next level, you need to understand and implement the power of Visual Basic for Applications (VBA). This 4th edition of Excel VBA Programming For Dummies introduces you to a wide array of new Excel options,...

Introducing Maven: A Build Tool for Today's Java Developers
Introducing Maven: A Build Tool for Today's Java Developers

Gain an understanding of Maven’s dependency management and use it to organize basic and multi-module Maven projects. This short book is your quick-start tutorial for learning to use Maven. It includes inconsistently immutable collections, better array construction, and more from the latest Maven version 3.6. This second edition...

Composing Software: An Exploration of Functional Programming and Object Composition in JavaScript
Composing Software: An Exploration of Functional Programming and Object Composition in JavaScript
All software design is composition: the act of breaking complex problems down into smaller problems and composing those solutions. Most developers have a limited understanding of compositional techniques. It's time for that to change.In "Composing Software", Eric Elliott shares the fundamentals of composition, including both...
Excel Dashboards and Reports For Dummies
Excel Dashboards and Reports For Dummies

Create dynamic dashboards and put your data on display with "For" "Dummies" No matter what business you're in, reports have become a staple of the workplace, but what good is a report if no reads it, or even worse, understands it? This all new edition of "Excel Dashboards & Reports For Dummies" is here to...

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