If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills.Thinking with Data helps you learn techniques for turning data into knowledge you can use. You’ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You’ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved.Learn a framework for scoping data projectsUnderstand how to pin down the details of an idea, receive feedback, and begin prototypingUse the tools of arguments to ask good questions, build projects in stages, and communicate resultsExplore data-specific patterns of reasoning and learn how to build more useful argumentsDelve into causal reasoning and learn how it permeates data workPut everything together, using extended examples to see the method of full problem thinking in action

    Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of "Learning Python" puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. "Learning Python," Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of "Learning Python" also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of "Learning Python" gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding."Learning Python," Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then "Learning Python," Second Edition is your best choice.

    The manner in which computers are now able to mimic human thinking is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the age of machine learning, computers do not strictly need to receive an ‘input command’ to perform a task, but rather ‘input data’. From the input of data they are able to form their own decisions and take actions virtually as a human would. But as a machine, can consider many more scenarios and execute calculations to solve complex problems. This is the element that excites companies and budding machine learning engineers the most. The ability to solve complex problems never before attempted. This is also perhaps one reason why you are looking at purchasing this book, to gain a beginner's introduction to machine learning. This book provides a plain English introduction to the following topics: - Artificial Intelligence - Big Data - Downloading Free Datasets - Regression - Support Vector Machine Algorithms - Deep Learning/Neural Networks - Data Reduction - Clustering - Association Analysis - Decision Trees - Recommenders - Machine Learning Careers This book has recently been updated following feedback from readers. Version II now includes: - New Chapter: Decision Trees - Cleanup of minor errors

    His job now, that of a rehabilitation counselor at the Brighter Days Ranch outside of Eagle Rock, Montana, keeps him busy and is fulfilling his desire to be of service. He’s put his past behind him. Or so he thinks until Vanessa “Van” Hastings shows up at the ranch with PTSD and memory loss after being held hostage in the Middle East. As Cole tries to put his resentment of her role in his career-ending mistake on the back burner, Van’s beauty, bravery and vulnerability make him rethink this woman’s purpose, both in his life and for her own. As Van recovers her memory, the couple realize more may be at stake than their affection for each other. Can they stay alive long enough to find out if love is possible for them?

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    To celebrate (survive) their union on Friday, the Twenty-First of December, Two Thousand Eighteen at Four-Twenty-Three p.m. Destination: Peculiar, Missouri. The only thing Chavvah wants more than to marry Billy Bob is to have his baby, but since that ship has sailed thanks to prior trauma, she's happy just to get down the aisle with him and make their life together official. The date is set for the Winter Solstice, marking the longest night of year, but a challenge from an unexpected guest, is turning her special day into a fight-club nightmare. And after having postponed the wedding twice already, Chav is starting to think fate hates her guts. On top of that, there are almost forty werewolves camped out on Billy Bob's property, claiming that Chav and Billy Bob are their new leaders. But when Chav tries to get her spirit guide, Brother Wolf, to cough up answers, he ignores her. Worst, the silent deity is sending her BFF Sunny visions that are taking a physical toll on her human friend's all too frail body. Throw in Billy Bob's manipulative father, Chav's pushy mother, and other surprise guests, these two furry lovebirds may never make it to "I do!" Peculiar Mysteries series from USA Today bestselling author Renee George are laugh-out-loud, grip the edge of your seat, and swoon as you fall in love tales of mystery, humor, and romance that take place in the small (fictional-not the actual) Ozark shifter town of Peculiar, Missouri.

    Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success.This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website.Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithmsDevelop a unit testing framework for debugging bandit algorithmsGet additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials

    Today, ML algorithms accomplish tasks that - until recently - only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.In the book, readers will learn how to:Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

    Objects are introduced early, right after control structures and before arrays and pointers. The STL string class is used throughout. As with all Gaddis books, there is a strong emphasis on problem solving and program design, a careful step-by-step introduction of each new topic, clear and easy to read code listings, concise and practical real world examples, and an abundance of exercises in each chapter.

    One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

    With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark’s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    The New Life™ Version—used around the world in mission work—is now available as an ebook edition. Containing the complete New Testament text, helpful descriptive subheads throughout, and topical study outlines to further explain the scriptures, this NLV Bible is for everyone. Its limited vocabulary makes it perfect for younger readers, in English-as-a-second-language use, or even for longer-term Christians who just want a fresh perspective on the scriptures. This unique scripture version, originally designed to reach people who did not speak English as their native language, uses a limited vocabulary of 850 words to simply and clearly share God's truth. For example, the term "justified" is rendered "made right with God," and "blaspheme" is rendered "speak against God."  Ideal for seekers, new believers, or even mature Christians who want a new perspective on the Bible.

    V. Larson! This 60,000 word book is an Anthology of short stories. Most are Science Fiction mixed with Horror. Others might be called Dark Fantasy... Many have been published previously in various magazines.The Barrier – What does it take to go faster than light?Symptoms of Godhood – How far can you modify a body and still call the results human?Discharged – A long war and an even longer stay in an automated hospital.Teeth at Bedtime – Technology follows us everywhere.The Insect Requirement – Great sacrifices are required for Earth’s early colonists.Blind Eyes – If we can design our own children, how far will we go?TA96 – Do our genes belong to us?Zundra’s Movies – A future where video is created with the mind, and insanity is fun to watch.Pinball – A young man builds his own watchdog.Love Aboard the Kamadeva – A love triangle between two desperate souls and a digital mirage.Starplay – A window into the universe becomes a door.The One-Way Gang – Leaving Earth is easy, but you can never come back.Rusted Metal – What has spent the last century in the basement?Lunar Lotto – Death comes instantly to outlaws in vacuum.The Rollers – Crime has been mostly eliminated by removing all forms of cash... Mostly.