In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    No one knows who I really am, and I like it that way. I don’t need people trashing my world: physically or emotionally. Between the greed and the lies; who needs them? I especially don’t need a woman in my life; but then chance, a storm and a pack of wolves blow HER into mine … However, chance is often a circumstance that can be manipulated… Olivia I was about to be the next meal of the resident wolf pack, because I had tripped and fallen on what I thought was snow, but was really a jagged rock. Now I couldn’t walk – I couldn’t even stand. They are so close now, I can’t help but scream. Suddenly, I hear a rifle go off, and I’m saved – by the most handsome man I’ve ever seen. He doesn’t talk much, but when we finally start making music together (real music, with a piano and guitar) I start to see the REAL him. If only this was the real me… This is a standalone novella with powerful sexy women only - no cheating - hot passionate love - HEA and a Mountain Man who loves all the above xo, Anna

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    It now has 600,000 to a million page hits daily. Every now and then, Munroe would get emails asking him to arbitrate a science debate. 'My friend and I were arguing about what would happen if a bullet got struck by lightning, and we agreed that you should resolve it . . . ' He liked these questions so much that he started up What If. If your cells suddenly lost the power to divide, how long would you survive? How dangerous is it, really, to be in a swimming pool in a thunderstorm? If we hooked turbines to people exercising in gyms, how much power could we produce? What if everyone only had one soulmate?When (if ever) did the sun go down on the British empire? How fast can you hit a speed bump while driving and live?What would happen if the moon went away?In pursuit of answers, Munroe runs computer simulations, pores over stacks of declassified military research memos, solves differential equations, and consults with nuclear reactor operators. His responses are masterpieces of clarity and hilarity, studded with memorable cartoons and infographics. They often predict the complete annihilation of humankind, or at least a really big explosion. Far more than a book for geeks, WHAT IF: Serious Scientific Answers to Absurd Hypothetical Questions explains the laws of science in operation in a way that every intelligent reader will enjoy and feel much the smarter for having read.

    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.

    

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    If you or someone you know is discontented, distressed, or downright disturbed, maybe the Great White North is right for you, eh. But how much do you really know about Canada? Can you do a job that Canada needs (do you play hockey, drill for oil, or make poutine?)? Can you identify the best Canadian province for your lifestyle (lots of tundra or just some tundra?)? Can you master the proper pronunciation of "sorry"? What strange wizardry is the Canadian government? Is maple syrup acceptable substitution for currency? At long last, How to Move to Canada can help make your vague threat into a cold Canadian reality. This book is also full of activities such as: Color the flag of your new homeland Match the strange Canuck dialect with their local definitions And more! PLEASE NOTE: This is a humor book. It won't really help you emigrate. Rather, it's a subversive mix of real information on the Great White North plus a hilarious look at all the reasons why you won't like it there any better — and why they probably won't have you anyway.

    Improve your knowledge and find things you've never heard before, or learn the facts behind the facts you already knew.So sit back, grab a spoon, and help yourself to a heaping bowl of Knowledge Stew.

    drone strike on an ISIS base in Syria accidentally kills an American hostage, news of her death has to be suppressed to prevent a political firestorm. In a desperate ploy a CIA fixer is tasked with using fake video to create the illusion that she is still alive until the situation can be contained. But a ruthless cabal of arms manufacturers and their corrupt Washington lackeys will stop at nothing to get the massive pay day that only all-out war will bring.

    Alma was born in 1910 in lower Davidson County, North Carolina—as she says, "fifteen miles south of Lexington, off number 8 Highway, between Newsom and High Rock, near Jackson Hill and Bald Mountain, in the backwoods of nowhere." The fifth of nine children, she lived with her mama and daddy, who were poor sharecroppers, in a small shack-like house on the edge of the large Reid farm that lay between Cabin Creek and Lick Creek on the Yadkin River. In her own words, Alma resurrects now forgotten times and places as she shares with us the everyday life of sharecroppers of the early 1900s. Through vivid descriptions she leads us through their daily customs, folklores and hardships. She speaks of how they had to make do with what they had and how the little that they had was treasured. At age twelve Alma's family left the sharecropping way of life and moved twenty miles north of the backwoods to Lexington, the county seat. In Lexington her life changed dramatically. First, her one room school was replaced with modern schools. Then, at a young age she entered the work place. The biggest change came in her late teens when she met and married Odell Henderson Owen, and in the years that followed, became the mother of eleven children. During the chaotic years of raising eleven children she never forgot her upbringing, how her mama and daddy had instilled in her the importance of family, church and community. Like her daddy, she worked hard, always putting her family's needs first. And in times of personal need, she sought strength through the church . The beauty of this book is in the voice of the book—Alma's voice. Alma tells her story with a warmth that leaves you laughing at times and at other times holding a tissue to your eyes.

    When a search yielded nothing, and all physical evidence had seemingly disappeared, authorities had little to go on—except a disturbing phone call five weeks later from Göran’s daughter Maria. She was sure that her sister, Sara, was somehow involved. At the heart of the alleged crime: Sara’s greed, her father’s land holdings, and his bitter feud with Sara’s idler boyfriend. With no body, there was no crime—and the case went as cold and dark as the forests of southern Sweden. But not for Therese Tang. For two years, this case was her obsession.A hard-working ex-model, mother of three, and Missing People investigator, Therese was willing to put her own safety at risk in order to uncover the truth. What she found was a nest of depraved secrets, lies, and betrayal. All she had to do now, in her relentless and dangerous pursuit of justice, was prove that it led to murder.

    This guy’s so timid, I wonder if anyone can teach him the stuff he needs to learn. “Revenge School clients have to be seriously violated. We don’t help people with little stuff. Last week a guy wanted us to kill his neighbor for making a pass at his wife. That guy needs testosterone injections, not us. My team will help you destroy whoever beat you and your friend, but we aren’t free. Your first payment is $10k.” “Ten-thousand dollars,” Richard blinked. The hand stirring his Chai Tea shook and the spoon created a wave that slopped onto the Formica table. “If we succeed we’ll pay you back from the funds we take from your enemies.” “So then it costs me nothing?” “Revenge won’t cost you a dime. It won’t make you a dime. It will make you a man.”

    With fewer people and resources than any of the top competitors, the only way they were going to win was to push the limit, go for broke, and hope for more than a little luck. By the time they got to the racetrack, they knew: In the fog of fierce competition, whether you win or lose, you learn the hardest lessons about engineering, teamwork, friendship, and yourself.

    Three modern day Tom Sawyers, with no caving expertise but an abundance of bravado, made Hannibal ground zero for a terrifying calamity that would leave its traumatic mark for half a century. Joel Hoag, his brother Billy, and their friend Craig Dowell vanished after exploring a vast and complex maze cave system that had been exposed by highway construction. Fifty years later, their fate remains the ultimate unsolved mystery.