C 3 0 Cookbook
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R Cookbook
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Author : Paul Teetor
language : en
Publisher: O'Reilly Media
Release Date : 2011-03-03
R Cookbook written by Paul Teetor and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-03 with Computers categories.
With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author
The Low Carb Diabetes Solution Cookbook
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Author : Dana Carpender
language : en
Publisher: Fair Winds Press (MA)
Release Date : 2016-04-15
The Low Carb Diabetes Solution Cookbook written by Dana Carpender and has been published by Fair Winds Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-15 with Cooking categories.
Best-selling low-carb author, Dana Carpender, strips away the carbohydrates, grains, sugars, and starches and reveals 200 of her best ultra-low carb recipes.
R Cookbook
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Author : JD Long
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-06-21
R Cookbook written by JD Long and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-21 with Computers categories.
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data
R Graphics Cookbook
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Author : Winston Chang
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-12-06
R Graphics Cookbook written by Winston Chang and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works. Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you’re ready to get started. Use R’s default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and other examples Provide annotations to help viewers interpret data Control the overall appearance of graphics Render data groups alongside each other for easy comparison Use colors in plots Create network graphs, heat maps, and 3D scatter plots Structure data for graphing
The Calories In Calories Out Cookbook
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Author : Catherine Jones
language : en
Publisher: Hachette UK
Release Date : 2014-07-08
The Calories In Calories Out Cookbook written by Catherine Jones and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Cooking categories.
More Than a Cookbook—A One-of-a-Kind Toolkit to Help You Make Smart Calorie Decisions Every Time You Eat You know that balancing the calories you take in and burn off is the foundation of weight control. But actually achieving that balance between eating and exercise is a daily challenge for most of us. Now, The Calories In, Calories Out Cookbook provides a fresh, sane approach for everyone seeking good health—and great food. Here is an essential repertoire of 200 smart recipes—nutrient-rich, delicious, foolproof, and ideal for busy individuals and families. Every recipe tells you its calorie count—and also tells you how many minutes of walking or jogging it takes for a woman or man to burn those calories off, so you’ll be able to visualize what calories mean as never before. All the recipes are below 400 calories per serving—and most are below 200! The Calories In, Calories Out Cookbook also delivers: An introduction to the world of calories—what they are, how our bodies use them, and why we don’t have to exercise off every last calorie we eat—by distinguished Cornell nutrition professor and author Malden Nesheim, PhD A guide to determining your daily calorie and exercise needs Helpful nutrition stats (including diabetic exchanges) for every recipe “Calorie combo”and “calorie cut” suggestions that help you formulate daily and weekly menus that fit your calorie needs Plenty of vegetarian and gluten-free options Dozens of tips on ingredients, equipment, prep, and cooking An extensive appendix of nearly 1,000 popular foods and drinks with their calorie values and nutritional info—and much, much more!
Pandas Cookbook
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Author : William Ayd
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-31
Pandas Cookbook written by William Ayd and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Computers categories.
From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features This book targets features in pandas 2.x and beyond Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book DescriptionUnlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features. From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease. What you will learn The pandas type system and how to best navigate it Import/export DataFrames to/from common data formats Data exploration in pandas through dozens of practice problems Grouping, aggregation, transformation, reshaping, and filtering data Merge data from different sources through pandas SQL-like operations Leverage the robust pandas time series functionality in advanced analyses Scale pandas operations to get the most out of your system The large ecosystem that pandas can coordinate with and supplement Who this book is for This book is for Python developers, data scientists, engineers, and analysts. pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas
The Venison Cookbook
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Author : Kate Fiduccia
language : en
Publisher: Skyhorse Publishing Inc.
Release Date : 2011-11
The Venison Cookbook written by Kate Fiduccia and has been published by Skyhorse Publishing Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11 with Cooking categories.
Gift in memory of James David Mitchell.
Neural Networks With Keras Cookbook
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Author : V Kishore Ayyadevara
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28
Neural Networks With Keras Cookbook written by V Kishore Ayyadevara and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.
Implement neural network architectures by building them from scratch for multiple real-world applications. Key FeaturesFrom scratch, build multiple neural network architectures such as CNN, RNN, LSTM in KerasDiscover tips and tricks for designing a robust neural network to solve real-world problemsGraduate from understanding the working details of neural networks and master the art of fine-tuning themBook Description This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data. Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks. We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems. Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game. By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter. What you will learnBuild multiple advanced neural network architectures from scratchExplore transfer learning to perform object detection and classificationBuild self-driving car applications using instance and semantic segmentationUnderstand data encoding for image, text and recommender systemsImplement text analysis using sequence-to-sequence learningLeverage a combination of CNN and RNN to perform end-to-end learningBuild agents to play games using deep Q-learningWho this book is for This intermediate-level book targets beginners and intermediate-level machine learning practitioners and data scientists who have just started their journey with neural networks. This book is for those who are looking for resources to help them navigate through the various neural network architectures; you'll build multiple architectures, with concomitant case studies ordered by the complexity of the problem. A basic understanding of Python programming and a familiarity with basic machine learning are all you need to get started with this book.
Game Physics Cookbook
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Author : Gabor Szauer
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-03-24
Game Physics Cookbook written by Gabor Szauer and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-24 with Computers categories.
Collision Detection and Rigid body physics for Game Development Key Features Get a comprehensive coverage of techniques to create high performance collision detection in games Learn the core mathematics concepts and physics involved in depicting collision detection for your games Get a hands-on experience of building a rigid body physics engine Book DescriptionPhysics is really important for game programmers who want to add realism and functionality to their games. Collision detection in particular is a problem that affects all game developers, regardless of the platform, engine, or toolkit they use. This book will teach you the concepts and formulas behind collision detection. You will also be taught how to build a simple physics engine, where Rigid Body physics is the main focus, and learn about intersection algorithms for primitive shapes. You’ll begin by building a strong foundation in mathematics that will be used throughout the book. We’ll guide you through implementing 2D and 3D primitives and show you how to perform effective collision tests for them. We then pivot to one of the harder areas of game development—collision detection and resolution. Further on, you will learn what a Physics engine is, how to set up a game window, and how to implement rendering. We’ll explore advanced physics topics such as constraint solving. You’ll also find out how to implement a rudimentary physics engine, which you can use to build an Angry Birds type of game or a more advanced game. By the end of the book, you will have implemented all primitive and some advanced collision tests, and you will be able to read on geometry and linear Algebra formulas to take forward to your own games!What you will learn Implement fundamental maths so you can develop solid game physics Use matrices to encode linear transformations Know how to check geometric primitives for collisions Build a Physics engine that can create realistic rigid body behavior Understand advanced techniques, including the Separating Axis Theorem Create physically accurate collision reactions Explore spatial partitioning as an acceleration structure for collisions Resolve rigid body collisions between primitive shapes Who this book is for This book is for beginner to intermediate game developers. You don’t need to have a formal education in games—you can be a hobbyist or indie developer who started making games with Unity 3D.
Pyspark Cookbook
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Author : Denny Lee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-29
Pyspark Cookbook written by Denny Lee and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-29 with Computers categories.
Combine the power of Apache Spark and Python to build effective big data applications Key Features Perform effective data processing, machine learning, and analytics using PySpark Overcome challenges in developing and deploying Spark solutions using Python Explore recipes for efficiently combining Python and Apache Spark to process data Book Description Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for leveraging the power of Python and putting it to use in the Spark ecosystem. You’ll start by learning the Apache Spark architecture and how to set up a Python environment for Spark. You’ll then get familiar with the modules available in PySpark and start using them effortlessly. In addition to this, you’ll discover how to abstract data with RDDs and DataFrames, and understand the streaming capabilities of PySpark. You’ll then move on to using ML and MLlib in order to solve any problems related to the machine learning capabilities of PySpark and use GraphFrames to solve graph-processing problems. Finally, you will explore how to deploy your applications to the cloud using the spark-submit command. By the end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive applications. What you will learn Configure a local instance of PySpark in a virtual environment Install and configure Jupyter in local and multi-node environments Create DataFrames from JSON and a dictionary using pyspark.sql Explore regression and clustering models available in the ML module Use DataFrames to transform data used for modeling Connect to PubNub and perform aggregations on streams Who this book is for The PySpark Cookbook is for you if you are a Python developer looking for hands-on recipes for using the Apache Spark 2.x ecosystem in the best possible way. A thorough understanding of Python (and some familiarity with Spark) will help you get the best out of the book.