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Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Key Features

  • This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
  • Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
  • Get simple examples and real-life data...
SQL Primer: An Accelerated Introduction to SQL Basics
SQL Primer: An Accelerated Introduction to SQL Basics
Modern society is driven by data. Whether it is at a personal level, like a notebook containing scribbled notes; or at a countrywide level like Census data, it has permeated all our workflows. There is always a growing need to efficiently store and organize it so that meaningful information can be extracted out of raw data. ...
Lean Python: Learn Just Enough Python to Build Useful Tools
Lean Python: Learn Just Enough Python to Build Useful Tools

Learn only the essential aspects of Python without cluttering up your mind with features you may never use. This compact book is not a "best way to write code" type of book; rather, the author goes over his most-used functions, which are all you need to know as a beginner and some way beyond.

Lean...

Beginning C++17: From Novice to Professional
Beginning C++17: From Novice to Professional
Learn how to program using the updated C++17 language. You'll start with the basics and progress through step-by-step examples to become a working C++ programmer. All you need are Beginning C++17 and any recent C++ compiler and you'll soon be writing real C++ programs. There is no assumption of prior programming knowledge.

...
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming...
A Solar Car Primer: A Guide to the Design and Construction of Solar-Powered Racing Vehicles
A Solar Car Primer: A Guide to the Design and Construction of Solar-Powered Racing Vehicles
This exciting primer on Solar Racing literally starts from the ground up, describing how the interactions of a vehicle with its environment circumscribe its ultimate success, from aerodynamics to resistance and propulsion. By demonstrating how to mathematically model these underlying physical phenomena, the author helps solar racing competitors...
Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science)
Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science)

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity...

Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences (Use R!)
Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences (Use R!)

This accessible primer on multivariate statistics in the life sciences gives a full description of the general data analysis paradigm, from exploratory analysis to modeling to validation; covers other aspects of chemometrics; and supplies the relevant R code.

...
An Elementary Introduction to Statistical Learning Theory
An Elementary Introduction to Statistical Learning Theory

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning

A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible...

A First Course in Topos Quantum Theory (Lecture Notes in Physics) (Volume 868)
A First Course in Topos Quantum Theory (Lecture Notes in Physics) (Volume 868)

In the last five decades various attempts to formulate theories of quantum gravity have been made, but none has fully succeeded in becoming the quantum theory of gravity. One possible explanation for this failure might be the unresolved fundamental issues in quantum theory as it stands now. Indeed, most approaches to quantum gravity...

Algorithms For Dummies (For Dummies (Computers))
Algorithms For Dummies (For Dummies (Computers))

Discover how algorithms shape and impact our digital world

All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to...

Learning SciPy for Numerical and Scientific Computing Second Edition
Learning SciPy for Numerical and Scientific Computing Second Edition

Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

About This Book

  • Use different modules and routines from the SciPy library quickly and efficiently
  • Create vectors and matrices and learn how to perform standard mathematical operations...
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