But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your work

    This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

    Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, defeating the world champion Go player, achieving superhuman performance on video games, driving cars, translating languages, and sometimes even helping law enforcement fight crime. Deep Learning is a revolution that is changing every industry across the globe.Grokking Deep Learning is the perfect place to begin your deep learning journey. Rather than just learn the “black box” API of some library or framework, you will actually understand how to build these algorithms completely from scratch. You will understand how Deep Learning is able to learn at levels greater than humans. You will be able to understand the “brain” behind state-of-the-art Artificial Intelligence. Furthermore, unlike other courses that assume advanced knowledge of Calculus and leverage complex mathematical notation, if you’re a Python hacker who passed high-school algebra, you’re ready to go. And at the end, you’ll even build an A.I. that will learn to defeat you in a classic Atari game.

    He thought fast and he shot fast, but how many battles can a peace loving cowpoke survive when every gunman is set against him.

    These stories were originally published by Galaxy Science Fiction Magazine in the late 1950's. Stories include the 3 part full length novel Caves of Steel, as well as Lastborn, Galley Slave and Ideas DIe Hard.With over 250+ electronic pages and all of the originally artwork from each issue of Galaxy, you can experience these stories the same way science fiction fans from the 1950's did! Look for more editions of MDP'sGalaxy's Science Fiction series, available now at e-retailers worldwide.

    Now he has a second chance. All he has to do is keep her alive.Ex-SEAL Chase “Frost” Brennan was sure he’d never again see the only woman he’d ever loved. Faith Murdock was the civilian psychologist who’d brought him back to life three years ago, and now she was a seductive, alluring, burlesque dancer who’d hypnotized him. She had a story to tell, but before he could ask, all hell broke loose at the club.Faith started dancing for release but when her fan mail turned threatening, it terrified her. When Chase showed up her relief was staggering. He was the one man she trusted with her life. She’d never gotten over the pain of having to push him away for his own good, even though it broke her heart.Faith wasn’t the same woman he’d known, and Chase wanted to know why. He was determined to break down the barriers to her heart, but first he had to catch a killer and it quickly became clear he was no ordinary stalker. Even with the help of his ESP team and his best friend, Chase would have to put his life on the line for his woman. But he was willing to do anything to give Faith the happily ever after she deserved.

    This book teaches basic Artificial Intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. These are not just foundational algorithms for the rest of the series, but are very useful in their own right. The book explains all algorithms using actual numeric calculations that you can perform yourself. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming—anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, R, Python and C. Other languages planned.

    MIRA brings you three full length novels in one collection! Welcome to Thunder point, a small town along the Oregon coast with towering cliffs, a picturesque bay, and the finest people you could ever hope to meet.This box set includes:ONE WISH (A Thunder Point Novel)By #1 New York Times bestselling author Robyn CarrCome back to Thunder Point! From the #1 New York Times bestselling author of the Virgin River series, book 7 in her beloved Thunder Point novels, where second chances can be complicated, but finding love might be simple…A NEW HOPE (A Thunder Point Novel)By #1 New York Times bestselling author Robyn CarrCome back to Thunder Point! From the #1 New York Times bestselling author of the Virgin River series, book 8 in her beloved Thunder Point novels, where second chances can be complicated, but finding love might be simple…WILDEST DREAMS (A Thunder Point Novel)By #1 New York Times bestselling author Robyn CarrFrom the #1 New York Times bestselling author of the Virgin River series, Robyn Carr, rediscover the charming coastal town of Thunder Point, where hard work and determination are all it takes to make dreams come trueRead the Thunder Point Series by Robyn Carr:Book One: The WandererBook Two: The NewcomerBook Three: The HeroBook Four: The ChanceBook Five: The PromiseBook Six: The HomecomingBook Seven: One WishBook Eight: A New HopeBook Nine: Wildest Dreams

    And certainly what Melville did for whaling Austen does for marriage--tracing the intricacies (not to mention the economics) of 19th-century British mating rituals with a sure hand and an unblinking eye. As usual, Austen trains her sights on a country village and a few families--in this case, the Bennets, the Philips, and the Lucases. Into their midst comes Mr. Bingley, a single man of good fortune, and his friend, Mr. Darcy, who is even richer. Mrs. Bennet, who married above her station, sees their arrival as an opportunity to marry off at least one of her five daughters. Bingley is complaisant and easily charmed by the eldest Bennet girl, Jane; Darcy, however, is harder to please. Put off by Mrs. Bennet's vulgarity and the untoward behavior of the three younger daughters, he is unable to see the true worth of the older girls, Jane and Elizabeth. His excessive pride offends Lizzy, who is more than willing to believe the worst that other people have to say of him; when George Wickham, a soldier stationed in the village, does indeed have a discreditable tale to tell, his words fall on fertile ground. Having set up the central misunderstanding of the novel, Austen then brings in her cast of fascinating secondary characters: Mr. Collins, the sycophantic clergyman who aspires to Lizzy's hand but settles for her best friend, Charlotte, instead; Lady Catherine de Bourgh, Mr. Darcy's insufferably snobbish aunt; and the Gardiners, Jane and Elizabeth's low-born but noble-hearted aunt and uncle. Some of Austen's best comedy comes from mixing and matching these representatives of different classes and economic strata, demonstrating the hypocrisy at the heart of so many social interactions. And though the novel is rife with romantic misunderstandings, rejected proposals, disastrous elopements, and a requisite happy ending for those who deserve one, Austen never gets so carried away with the romance that she loses sight of the hard economic realities of 19th-century matrimonial maneuvering. Good marriages for penniless girls such as the Bennets are hard to come by, and even Lizzy, who comes to sincerely value Mr. Darcy, remarks when asked when she first began to love him: "It has been coming on so gradually, that I hardly know when it began. But I believe I must date it from my first seeing his beautiful grounds at Pemberley." She may be joking, but there's more than a little truth to her sentiment, as well. Jane Austen considered Elizabeth Bennet "as delightful a creature as ever appeared in print". Readers of Pride and Prejudice would be hard-pressed to disagree. --Alix Wilber

    Now Sam is putting down roots with his wife and daughter, and no amount of evil can stand in the way.Secure in their out-of-the-way stronghold, the proprietors of the criminal enterprises never planned on a man like Sam Blaylock—a man who would face the Devil himself to balance the scales. Sam never backed down from a bad situation.Rancho Diablo Western Series: Omnibus includes – Shooter's Cross, Hell On Wheels, The Hold Up, The Matamoros Bull, The Armadillo's Hole Saloon and Shooter York.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Angry Birds, the world's favorite mobile game franchise, is now the world's favorite digital comic! This issue's featured story, "Propiganda" by Jeff Parker and César Ferioli is sure to slingshot it's way into your heart!

    She hears planes flying overhead. A flyer warning of an impending assault by American bombers lands near her, but she is blind and cannot read it.Chapter 4Private Werner Pfennig wakes in the Hotel of Bees where his unit is billeted in Saint-Malo. A corporal orders him to go to the cellar. The hotel once was a privateer’s lair. It is fortress-like and houses an antiaircraft gun manned by a crew of Austrians.Chapter 5The townspeople who have not evacuated awake to the noise of guns and planes amid the shower of leaflets. In a fortress, the last German bastion on the Breton coast, French prisoners peer up at the sky. Other sieges have rocked the city of Saint-Malo over the centuries, but none like this...  About the Author With Instaread Summaries, you can get the summary of a book in 30 minutes or less. We read every chapter, summarize and analyze it for your convenience.