And when he finds this God he tells his brothers, saying: “If I had not come and spoken to you, you would have no sin, but now you have no excuse for your sins.” God reveals himself to man as his eternal contemporary, saying: “Unless you believe that I am he, you will die in your sins,” but man finds it almost impossible to keep the tense. He thinks of God in the third person, addresses him in the second person, but can only know God in a first person, present tense experience. Just imagine - no one can sin until God reveals himself to the individual in a first person, present tense experience. Only then can man have no excuse for his sin. And when one who finds God tells his brothers, he receives no greater reception than the first one did, because they see him as a man of flesh and blood, and cannot see this invisible being who says: “I came down from heaven.” Man is looking for Christ to come from without, but his revelation is whispered from within.

    Time Bestselling Author In New YorkVampire Diaries Story 8 Titles in 6 BooksTitles in This SetThe Awakening + The Struggle, The Fury + The Reunion, Nightfall, Shadow Souls, The Return: Midnight, Phantom.

    The Innocent The Woods Hold Tight

    Illuminating the way in which faith has influenced both her life and her writing, Karon also discusses her calling as an author—a calling she received early but took years to answer. Only an incredible leap of faith gave her the courage to give up all she had, risking everything to follow this call. Intimate, funny, and straight-from-the-heart, this eSpecial is a superb companion to Jan Karon’s novels, providing a revealing glimpse into the life of a novelist who has moved so many people with her words.

    Even more exciting, each of these stories will spin off into a series of its own. Maggie Shayne’s CHRISTMAS BLUESA true believer returns the music to a lonesome drifter’s soul.Miranda’s Shayne’s FINDING CHRISTMASA small-town coffee shop owner melts a humbug hero’s wounded heart.River Shayne’s A HERO FOR HANNAHCan a woman in grave danger learn to trust one more time?Jessica Lewis’s THE SOLDIER’S CHRISTMAS BABYA lonely serviceman comes home for a holiday he’ll never forget.Grab a cup of eggnog, curl up near the tree, and fall in love with the holidays all over again!

    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!

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time.Work hands-on with three practical data analysis projects based on casino gamesStore, retrieve, and change data values in your computer's memoryWrite programs and simulations that outperform those written by typical R usersUse R programming tools such as if else statements, for loops, and S3 classesLearn how to write lightning-fast vectorized R codeTake advantage of R's package system and debugging toolsPractice and apply R programming concepts as you learn them

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

    But when a beautiful mage arrives to stand in as healer in the aftermath of near destruction of the pack, Mako is suddenly struck by the Hunger. When Robin comes to the Blackhawk Pack, the last thing she expects is the Beta of the pack to claim her as his mate, something she has no time for. Her mission is to find and exact revenge on the anti-mage who killed her grandmother. Robin and Mako fight their Hunger-fueled, primal attraction tooth and nail, while looking for answers and retribution in the midst of great danger for them and the pack. Will Mako succumb to the legendary Wolf's Hunger? And will Robin surrender to his mating call that’s becoming impossible to resist? **** From New York Time's Bestselling Author A.K. Michaels A Wolf’s Hunger is a series of standalone Shifter books each with a HEA and absolutely no cliffhangers. Full of passion, intrigue and Paranormal Romance. Jam packed full of suspense, romance, thrills and hot Shifters.

    But popular and successful Noah Rackham is shocked when Adelaide won't have anything to do with him. He has no idea that his very presence reminds her of something she'd rather forget. He only knows that he's finally met a woman he could love. TAKE ME HOME FOR CHRISTMAS Everyone in Whiskey Creek remembers Sophia DeBussi as the town's Mean Girl. Especially Ted Dixon, whose love she once scorned. But Sophia has paid the price—the man she did marry was rich and powerful but abusive. When he goes missing, she learns that he died running from an FBI probe of his investment firm, leaving her penniless and forced to face all the townspeople he cheated. Desperate for work, she accepts a job as housekeeper for Ted, now a successful writer. He refuses to get emotionally involved, but will the holidays bring them another chance at happiness? COME HOME TO ME When Presley Christensen returns to Whiskey Creek with her little boy, she has completely changed her life. Now she's back in the small town that was the closest thing to “home” she ever knew. There's just one catch. Aaron Amos still lives in Whiskey Creek, and no matter how hard she's tried, Presley hasn't been able to get over him. She's come too far to backslide now. And there's a secret she's been guarding—a secret she'll do anything to protect.

    Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.