Learn IT - Books tags numpy

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

O'Reilly, 2018

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

Python Recipes Handbook: A Problem-Solution Approach

Apress, 2016

Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your...

Python: Data Analytics and Visualization

Packt Publishing, 2017

Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for...

Python Data Analysis

Packt Publishing, 2017

Key Features

Find, manipulate, and analyze your data using the Python 3.5 libraries

Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code

An easy-to-follow guide with realistic examples that are frequently used in real-world data...

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

O'Reilly, 2017

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Addison Wesley, 2015

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts

Apress, 2017

Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis.

Once the cluster is built, its power...

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...

Think Complexity: Complexity Science and Computational Modeling

O'Reilly, 2012

This book is inspired by boredom and fascination: boredom with the usual presentation of data structures and algorithms, and fascination with complex systems. The problem with data structures is that they are often taught without a motivating context; the problem with complexity science is that it is usually not taught at...

Numerical Python: A Practical Techniques Approach for Industry

Apress, 2015

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 compute solutions and mathematically model...

Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

Packt Publishing, 2016

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

About This Book

A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices

Get to grips with the basics of Predictive...

OpenCV Computer Vision with Python

Packt Publishing, 2013

This book will show you how to use OpenCVs Python bindings to capture video, manipulate images, and track objects with either a normal webcam or a specialized depth sensor, such as the Microsoft Kinect. OpenCV is an open source, cross-platform libran' that provides building blocks for computer vision experiments and applications. It...

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