Lime Peak Ranch is home to the Dumont and Ruggles families who raise cattle, train horses, and compete in PRCA rodeos. Life down the dirt road isn’t as perfect as it seems and secrets have roots deeper than the maple trees.   Bonnie Ruggles has to leave the Lime Peak Ranch but her marriage is in pieces scattered from the house to the barn. Dallas isn’t speaking to her, his hurt bigger than any words. When tragedy strikes, Bonnie is called home to be with her husband. Their relationship is changing and only by revealing the truth can they start anew. Tearing up secrets with roots this deep can cause more damage than these two might be able to handle.  Ellie Dumont Labrum should be living in wedded bliss, but with the death of his father, Logan pulls farther and farther away. Missing the closeness they’d barley glimpsed, Ellie tries desperately to pull her husband out of his grief, Porter Dumont is destined for greatness. He sells his plot on Lime Peak Ranch—his inheritance—and leaves the ranch and family behind to chase the music to Nashville. If he can make this work, he’ll be the biggest name to come out of the ranch. George and Carol Dumont struggle to make a new life out of the ashes of their old love. They want the same things, but Carol has to trust—a task that isn’t easy when she’s been singed. If she can find confidence in her new situation, their love can finally be free from the fears that hold them back. Olivia Dumont is falling in love with Dr. Robert Canton. They would be a perfect fit if it weren’t for the fact that he is leaving at the end of the month. Not wanting to give him an ultimatum, Olivia steps back from their budding relationship. But without incentive to stay, Robert struggles to decide if he and his son, Jax, should go back to Seattle or make a home on the ranch.    Follow this family full of heart and love and loyalty as they work to navigate the revelation of long-buried secrets, bitter disappointments, new and old love, and trust in the third book in the Lime Peak Ranch series.

    With her father unable to do his night watchman rounds, Kate does all she can to help her family survive. But when Andrew Pitt comes into her life, everything changes. True happiness seems to be on the horizon for Kate as she and Andrew make plans to marry. Then tragedy strikes and Kate takes the only course she can to protect the people who depend on her. With her future looking hopeless, Kate must find a way to escape – and to get back the man she loves.

    Friendship and loyalty draw the Irish fisherman into a world he would rather stay away from. Choices must be made that could bring the wrath of an old enemy upon James's head. How many fresh starts should a person have to make in their lifetime? Why is it that just when you think your boat has reached the shore, the tide turns and sweeps you back out to a stormy sea? As these questions torment James McGrother, two members of his young family must deal with distressing events that will change their lives forever.

    Picking a druid, he charges forward into an unknown land as he tries to master an odd combat system. Luckily for him, the crafting system is ripe to make money and the game’s currency is tied to the real-world market.But a strange dungeon forces him to reevaluate everything he thought he knew. Is the company behind this game truly what it seems to be, or is there a nefarious purpose hidden below the surface?

    Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although I use Python as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment. In some places, I have purposely avoided certain Python features and idioms that are not generally found in other languages. There are already many good books about Python on the market; this book is intended as an introduction to computing. Features include the following: *Extensive use of computer graphics. *Interesting examples. *Readable prose. *Flexible spiral coverage. *Just-in-time object coverage. *Extensive end-of-chapter problems.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.This book includes:Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more A detailed case study of porting a major library from Python 2 to Python 3 A comprehensive appendix of all the syntactic and semantic changes in Python 3 This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.

    From investing in Bitcoin in university to his time writing for Reuters, and then mining the digital asset ― Lou meets a co-founder of Ethereum and Gerald Cotten of QuadrigaCX (before he was reported dead), and hangs out in North Korea with Virgil Griffith, the man later arrested for allegedly teaching blockchain to the totalitarian state.Coming of age in the 2008 financial crisis, Lou's generation has a natural affinity with this rebel internet money, this so-called millennial gold, created in the wake of that economic storm. At once an immersive narrative of adventure and fortune, Once a Bitcoin Miner is also a work of journalistic rigor. Lou examines this domain through the lens of the human condition, delving deep into the lives of the fast-talkers, the exiles, the ambitious, and the daring, forging their paths in a new world harsh and unpredictable.

    Developed by computer science instructors, books in the For the absolute beginner series teach the principles of programming through simple game creation. You will acquire the skills that you need for more practical Python programming applications and you will learn how these skills can be put to use in real-world scenarios. Best of all, by the time you finish this book you will be able to apply the basic principles you've learned to the next programming language you tackle.Features Fun approach to a difficult topic Readers will create games with Python as they learn the fundamentals of this programming language The CD will include games that readers can cut and paste into their own Web site The author provides challenges at the end of chapters to push readers to program on their own.

    Using his one-of-a-kind conversational style, Todd gives you clear and concise information on crucial networking topics through practical examples and insights drawn from his real-world experience. This Study Guide thoroughly covers all exam objectives for the CompTIA Network+ exam (N10-004), including key topics such as network technologies, media and topologies, devices, management, tools, and security. Along with the book you get a CD-ROM featuring a custom test engine with chapter review questions, two practice exams, flashcards, and the book as a searchable PDF.Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.For Instructors: Teaching supplements are available for this title.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    Thus CHACHA CHAUDHARY was born in 1971. Tall and robust SABU, who is an inhabitant of planet Jupiter, gave Chaudhary an ideal company. A combination of wisdom and strength was formed to tackle any difficult task. It is said that " Chacha Chaudhary's brain works faster than a computer". Though both fight the criminals and tricksters, each episode ends with a touch of humour. The duo perform in lighter vein. The CHAUDHARY family consists of his wife Bini, a fat sharp tongue woman, Sabu, Rocket - the dog and Dag- Dag, an old truck who is half human- half machine. Chacha Chaudhary is the most popular Indian comics. More than 10 million readers enjoy this series regularly in newspapers and comic books in ten languages. A T.V. serial based on the comics has crossed 500 episodes and still continue to be telecast on premier channel "Sahara ONE".

    He’s an embattled veteran determined to help. When she gets in over her head, will their love sink or swim?Ecotour captain Willow McBride enjoys introducing tourists to the many wonders of the sea. But with financial pressure mounting, she reluctantly takes on a group of mysterious “treasure hunters” with unclear intentions. And the salt really hits the fan when her hunky high school crush wanders back into her life out of nowhere.Grant Taylor needs a fresh start. After checking out of the VA hospital with a still-mangled arm, he agrees to look in on his friend’s sister back in his hometown. And though he remains haunted by the people he let die, he’s unprepared for the way her familiar face makes his wounded heart skip a beat.Despite falling for the handsome soldier from her past, Willow still can’t let him interfere with her clients’ increasingly illegal demands. But if Grant wants to fulfill his obligation and protect the lovely mariner, he’ll have to confront his terror of open water.Can the reunited pair dodge a bullet and sail off into the sunset?Salt Bay Sunrise is the charming first book in the Escape to Valencia Cove for Tropical Romance series. If you like fanning old flames, sizzling secrets, and a dash of suspense, then you’ll adore Juliet Brilee’s sweet story.