Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with easeKey FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook DescriptionVirtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started t...

Twenty-five-year-old Seminole Toby Tiger lives in despair in the Florida Everglades. He loves the land and everything that exists in the natural world: the deer and egrets, turtles and herons, cypress trees and sawgrass, ponds and marshes, and, most of all, Allapattah, the crocodile. He watches helplessly as the white man imposes his will on the Seminoles, forcing them either to conform or to eke out a living wrestling alligators and carving trinkets for tourists. According to Toby, the wh...

In a corner of the Big Cypress Swamp, to the north of the Florida Everglades, lives Charlie Jumper, and eighty-six-year-old Seminole man. Unlike the younger American Indians who have adopted white civilization, Charlie and his wife cling to the old ways, hunting and fishing in the great swamp and farming a tiny plot of higher ground. Charlie has been diligently teaching his grandson, Timmy, about the swamp and its creatures.But their simple existence is suddenly threatened when a l...

Award-winning Florida novelist Patrick Smith's first novel, The River Is Home, revolves around a Mississippi family's struggle to cope with changes in their rural environment. Poor in material possessions, Skeeter's kinfolk are rich in their appreciation of their beautiful natural surroundings. The river on which they live—with its food supply, steamboats, and floods—figures strongly in their lives as the source of life, change, and death. Though their life is a simple one, it's f...

In this best-selling novel, Patrick D. Smith tels the story of three generations of the MacIveys, a Florida family who battle the hardships of the frontier to rise from a dirt-poor Cracker life to the wealth and standing of real estate tycoons. The story opens in 1858, when Tobias MacIvey arrives in the Florida wilderness to start a new life, and ends in 1968 with Solomon MacIvey, who realizes that the land has been exploited far beyond human need. Between is a sweeping story rich in Flori...

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. 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 appl...

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust statistical models, built for a range of datasets...

Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available. Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you. Key FeaturesStep int...

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anon...

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize you...

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatab...

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.Authors Adam Gibson and Josh Patterson provide theory on deep learning before introd...