Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly.Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

    This updated edition of Ross's classic bestseller provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries.This book now contains a new section on compound random variables that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions; a new section on hiddden Markov chains, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states; and a simplified approach for analyzing nonhomogeneous Poisson processes. There are also additional results on queues relating to the conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system; inspection paradox for M/M/1 queues; and M/G/1 queue with server breakdown. Furthermore, the book includes new examples and exercises, along with compulsory material for new Exam 3 of the Society of Actuaries.This book is essential reading for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.

    In this richly illustrated book, accessible examples are used to show how information theory can be understood in terms of everyday games like '20 Questions', and the simple MatLab programs provided give hands-on experience of information theory in action. Written in a tutorial style, with a comprehensive glossary, this text represents an ideal primer for novices who wish to become familiar with the basic principles of information theory.Download chapter 1 from http://jim-stone.staff.shef.ac.uk/Boo...

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    I’m definitely having a midlife crisis…I didn’t expect to be single at forty-five, but I’ve always prided myself on facing up to a challenge. A new town, a better job, and a cozy cottage of my own are all at the top of my To Do list. A new man? Right at the bottom. I’m far too busy for love.Returning to the Devon village of Crows Tor on Dartmoor brings a new lease of life for me – in more ways than one. It turns out my old school friend, Fiona, makes a secret moonshine at her whisky distillery using spring water collected under the full moon. Apparently it enhances your psychic powers, and she tempts me to have a shot… or three.I’m thrilled at the prospect of developing my psychic abilities. And then I look into a crystal ball at the May Day fair and have a vision of a murder. Suddenly it’s not such a fun idea after all, especially when my prediction comes true. Consumed by guilt because I didn’t warn the victim, I’m determined to find the killer, even if it puts me in the very path of danger…*The Midlife Moonshine stories are set on Dartmoor in Devon, England, and contain British English spelling and usage. They are clean reads with no graphic violence, strong language, or sex, but they’re packed with magic, mystery, romance, and history – all starring women in the prime of midlife!

    Richard Coles, led a pilgrimage to all the major historic sites of the Holy Land: from Nazareth and the Sea of Galilee in the North, via Jericho and the Jordan River, to Bethlehem and, finally, Jerusalem. All of the pilgrims in his care were practising Christians, except one: the writer Kevin Jackson, a diffident and sympathetic atheist intrigued by the chance to take part in this modern-day version of an ancient act of piety, and to learn some more about his old friend, the media clergyman.Coles to Jerusalem is Kevin Jackson’s light-hearted diary of that pilgrimage, and a close-up portrait of Richard Coles both as priest and as man. As the journey proceeds, Coles reminisces at length about his past life as a rock star and radical gay agitator, his new life as a spiritual leader and a popular broadcaster on BBC radio and television, and the strange, unpredictable path that led him from self-destructive debauchery to faith and vocation.With a lively supporting cast of fellow pilgrims, Coles to Jerusalem ranges among the magnificence of ancient monuments and the banalities of the guided tour, the grim political background of contemporary Israel and the comedy of a group of idiosyncratic English folk abroad, the intensity of worship and the lightness of banter. It will be irresistible to all admirers of Richard Coles, who has contributed a foreword; and a revelation to those who have never encountered his wisdom and warmth.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    The basic techniques and theorems of analysis are presented in such a way that the intimate connections between its various branches are strongly emphasized. The traditionally separate subjects of 'real analysis' and 'complex analysis' are thus united in one volume. Some of the basic ideas from functional analysis are also included. This is the only book to take this unique approach. The third edition includes a new chapter on differentiation. Proofs of theorems presented in the book are concise and complete and many challenging exercises appear at the end of each chapter. The book is arranged so that each chapter builds upon the other, giving students a gradual understanding of the subject.This text is part of the Walter Rudin Student Series in Advanced Mathematics.

    Frank Baum annotated with his detailed biography. This is the only complete collection that includes all the Oz stories. This kindle title comes with an active table of content as well as a table of content for each story. There are also links to the story table of contents and the main table of contents at the start of each chapter to make navigating this huge collection easier. You can also easily navigate from one chapter to another or from one story to another using the menu button.All the 22 stories are fully complete. They even include the dedication and the introduction of each story/book.In this collection, you will find stories not available in other collections and it even include stories published after the death of L. Frank Baum.About The Wizard of Oz:Ever since Dorothy realized that she was not in Kansas anymore, she has encountered nothing but excitement and adventure in the Land of Oz. She befriends talking creatures, magical constructs, and even powerful witches and wizards. Together they overthrow evil and repel invaders, setting things right in the land once more, all while discovering the inner strength and courage that each one of them possess.Dorothy and other visitors always find themselves in the Land of Oz, where some adventure always awaits them. Other heroes hail from the Land of Oz itself, merely trying to survive the perils of living in this magical land. At the end of each adventure, however, the heroes can always look forward to a feast in Emerald City, after which Dorothy herself will always find her way back home to her aunt and uncle.So, grab this title, and follow along the adventures!Included in this collection:(Stories are listed according to publication date)1. The Wonderful Wizard of Oz2. The Marvelous Land of Oz3. The Woggle-Bug Book4. Ozma of Oz5. Dorothy and the Wizard in Oz6. The Road to Oz7. The Emerald City of Oz8. The Patchwork Girl of OzLittle Wizard Stories of Oz:9. The Cowardly Lion and the Hungry Tiger10. Little Dorothy and Toto11. Tiktok and the Nome King12. Ozma and the Little Wizard13. Jack Pumpkinhead and the Sawhorse14. The Scarecrow and the Tin Woodman15. Tik-Tok of Oz16. The Scarecrow of Oz17. Rinkitink in Oz18. The Lost Princess of Oz19. The Tin Woodman of Oz20. The Magic of Oz21. Glinda of Oz22. The Royal Book of Oz(description courtesy Amazon.com: http://www.amazon.com/gp/product/B008... )

    That’s what happens when you spend your life hunting monsters, though. This go-around everybody’s favorite over-the-top circus performers travel to Hemlock Cove, where they meet a group of witches they didn’t see coming, before heading to the Detroit area and visiting Poet Parker’s old stomping grounds. There, they come across with a family of snarky reapers who challenge their world view … and a group of at-risk street kids who are in danger of being swallowed whole by a dark enemy. Finally, they stop at Mammoth Caves, where vampires (and something a little more sinister) seem to be taking over a small town and leaving nothing but devastation in their wake. It’s going to be a bumpy ride, but Mystic Caravan is up for the challenge. This three-book omnibus includes: Freaky Witches, Freaky Reapers and Freaky Fangs.

    One of those victims — his wife. As he gets closer to finding the killer, he falls deeper into an elaborate conspiracy.A man wakes buried alive with no memory of who or what he is. In his pocket, a note: “Avoid the sunlight and don’t touch anybody.” Now he is being hunted by the FBI while trying to remember his monstrous past. He must control the darkness within before it consumes him and the child whose life he must protect.11-year-old Abigail was dying slowly each day as the prisoner of a sick man. Until she is saved by the most unlikely of heroes — a vampire with a deadly touch. He is her only hope, and she may hold the key to unlocking the memories of his hidden past.Past, present, fate, and future are on a collision course as the hours of AVAILABLE DARKNESS are ticking away and a force greater than anything the world has ever seen threatens humanity.Available Darkness is an epic serialized journey that reinvents vampire mythology with a fast paced, character-driven thriller that blends action, mystery, fantasy, and horror in an addictive, tragically romantic story.As usual, episode prices will be .99 during the season. After we release the full compilation on Oct. 31, episodes will go to $2.99, but the full season will be available for $5.99.SEASON TWO COMING SOON

    Each book completes a story arc, but it includes a series cliffhanger that connects Books 1-4; And then Books 5-8. IN BOOK 7 OF THE TOTLANDIA EPISODIC SERIES: For the women of Totlandia, spring brings new life and emotional renewal: A big question for Bettina is whether she'll succumb to an easy fix for her problems, or will she embrace the challenge that may lead to the financial and emotional freedom she craves... At the same time, Bettina's mysterious disappearances are adding to Lorna's anxieties to keep the club on an even keel up until she delivers her twins. Little does she know that a cruel trick by the power-hungry Kelly will curdle Lorna's relationship with her mother-in-law, Eleanor; Jillian is fighting her former mother-in-law for custody of her deceased ex-husband's infant child. The good news: Caleb has taken to his new role as über-dad with gusto. The bad news: it’s causing trouble in the Pacific Heights Moms & Tots Club; As for Jade, she is given an opportunity of a lifetime to prove herself: both as an academic researcher, and as the perfect partner for her fiánce, Reggie. But will his assistant Samantha's attentions come between them? And Brady's quest to reunite Ally with her father may be the one thing that will tear their relationship apart; Last but not least: Top Moms are in full revolt. They know that their only hope of getting out from under Bettina’s thumb is to secure their secrets-filled files hidden deep within a sculpture to be auctioned off with the rest of her possessions. Let the bidding begin! REVIEWS FOR THE TOTLANDIA SERIES “I love a good mommy send-up as much as the next gal, and this peek into the ridiculousness of the San Francisco uppercrust is delightful. Whether or not you’ve ever had the pleasure (or pain) of joining a playgroup, Brown’s tale is as charming as it is cringeworthy. I laughed, I winced, I kept scrolling.” —Romantic Times “With affairs, pending divorces, secret jobs and unsavory pasts, each wannabe member hides something that could blow her chances for good.Like the characters in reality shows such as “Dance Moms,” the women in Pacific Heights might be over-the-top, but in the end the best interests of their kids are (almost) always at heart. Laugh-out-loud funny and sometimes touching, the “Totlandia” novellas serve as the perfect quick read for busy moms or anyone looking to escape with some gossipy fun.” —Examiner.com “Josie Brown writes Totlandia with her usual storytelling flair. The dialogue is smooth and flowing. The characters are easy to side with or become angry with, depending on each situation. The scenery is easy to visualize. And we mustn’t forget all the sex (blushworthy, at that) and scandal that is a staple of a true Josie Brown novel. Totlandia: The Onesies (book one) kept me entertained and on my toes the entire time. It showed that there are mothers who are human and sometimes screw up even with the best intentions at hand. It’s like a soap opera for mommies. Guilty pleasure, anyone?!? I look forward to reading book two next and will share my thoughts on that one, as well!”—Melissa Amster, ChickLitCentral.com “This book is wonderfully written and has more than just drama. There are touching moments, parts that made me laugh out loud, and as I read the story I felt like I was reading a television show!”—Divine Secrets of a Domestic Goddess

    A "legit fan base" as my fellow "influencer" Katya Vlahos describes it, and even better, they're not made up of women who only clicked Follow to hate on me.And yes, I do know I've used more "air quotes" than what's appropriate for a single paragraph, but the thing is, that whole air quote thing also perfectly sums up my feelings about the past five years.Everything that's happened since the post is like one long air quote: I'm a nobody the whole world has mistaken for somebody, and I feel like it's only a matter of time before everyone wises up to the truth.If my life were a romance novel, I'd never be the girl who would end up with Prince Charming, and I don't think you'd even see my name pop up until Chapter Three. If my life were a romance novel, I'd just be the hero's token best friend. The kind of girl guys hang out with until they fall in love with someone else. If my life were a romance novel, someone as gorgeous as Aidan Blackwood shouldn't even know I exist...so why have I caught him checking me out like I'm his next meal?