Learn IT - Books tags visualization

Python Programming: The Ultimate Beginners Guide to Learn Python Machine Learning Step-by-Step

Independent Publishers Group, 2021

Are you brand new to machine learning and Python?Do you want to learn good coding techniques quickly and easily?Then Python Programming is the book for you!Python is one of the best platforms for those new to programming to begin with. The book will introduce you to the basic concepts of Machine Learning, Python programming...

Python Scripting for Computational Science (Texts in Computational Science and Engineering)

Springer, 2004

The goal of this book is to teach computational scientists and engineers how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in the easy-to-learn, very high-level language Python. The focus is on examples and applications of relevance to computational science: gluing existing...

Python Machine Learning Cookbook

Packt Publishing, 2016

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

Understand which algorithms to use in a given context with the help of this exciting recipe-based guide

Learn about perceptrons and see how they are used to build neural...

Mathematica Cookbook

O'Reilly, 2010

Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data...

Algebraic Geometry and Geometric Modeling (Mathematics and Visualization)

Springer, 2006

Algebraic Geometry and Geometric Modeling are two distinct domains of research, with few interactions up to now, though closely linked. On the one hand, Algebraic Geometry has developed an impressive theory targeting the understanding of geometric objects defined algebraically. On the other hand, Geometric Modeling is using every day, in practical...

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Manning Publications, 2016

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

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Beginning Python Visualization: Crafting Visual Transformation Scripts

Apress, 2014

We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of...

Beginning Python Visualization: Crafting Visual Transformation Scripts (Books for Professionals by Professionals)

Apress, 2009

Python Data Visualization Cookbook

Packt Publishing, 2013

As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations.

Overview

Learn how to set up an optimal Python environment for data visualization

...

Python Data Analysis Cookbook

Packt Publishing, 2016

Key Features

Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types

Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning

Authored by Ivan Idris, expert in python programming and proud...

Information Visualization: Beyond the Horizon

Springer, 2006

Information visualization is not only about creating graphical displays of complex and latent information structures; it contributes to a broader range of cognitive, social, and collaborative activities. This is the first book to examine information visualization from this perspective.

This 2nd edition continues the unique and ambitious...

Advances in Data Analysis: Proceedings of the 30th Annual Conference

Springer, 2007

The book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. It covers a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and...

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