Includes lead sheets for such standard vocal repertoire pieces as: Yesterday * I'm Beginning to See the Light * and I Heard it Through the Grapevine. Maximize your vocal potential with this outstanding guide

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines.The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness.In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways.Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.

    Farmaiyen, Sheelaji!’Among the first female journalists in India to investigate crime andthe underworld, Sheela Raval has had an eventful three-decade-longcareer in print media and television that has seen her track India’smost notorious criminals across different parts of the globe. Alwayshot on the trail of a story, Raval broke the news about Chhota Rajansurviving a brutal assassination attempt in Bangkok in 2000, attendedDawood Ibrahim’s daughter’s wedding in Dubai and is the only personto have interviewed Samira Jumani, noted gangster Abu Salem’s firstwife, after Salem’s arrest and extradition.Now, in a candid memoir of fearless reportage, Raval recounts herinteractions with the much-feared dons, and the revelations theybrought forth about the intricate workings of organized crime withinIndian borders and beyond. Raval’s bold writing gives fresh and sofarunpublished insight into the D Company’s evolution as a criminalorganization with transnational influence and connections withforeign governments; the much-talked-about split between Dawoodand Chhota Rajan; a once-promising cricketer who became one ofMumbai’s most-feared dons; the Abu Salem–Monica Bedi affair; andthe circumstances that led her to appear as a state witness in the highprofilecase against film producer Bharat Shah and Chhota Shakeel.Chilling and revelatory, Raval’s stories provide a fascinating glimpseinto the minds of organized criminals who have long haunted India’ssecurity forces. Godfathers of Crime is a chronicle of men who havelived outside the boundaries of the law for most of their lives, toldthrough the personal experiences of an intrepid journalist.

    His heroic legacy of being shot down while preparing to rescue a fallen teammate began long before this tragic day.An Apache aviator said of Mark's final battle: ..."I have never witnessed such an act of heroism in my three years of fighting in combat. I have over 2,700 hours total time with 1,500 hours of combat time in both Iraq and Afghanistan...JAG 28 continued to advance on the enemy while taking intense enemy fire, and continuously fired his weapon in an attempt to get to his fallen teammate and destroy the enemy."Mark chose to enlist in the Air Force as a Special Operations Combat Controller after he received his Bachelor's degree from The University of Alabama. Because of his above average grades and near-photographic memory, his Business Finance degree would have done him well. But, he felt a higher calling; one that put him between us and the enemies bent on our destruction.Even though he had pledged that freedom must be preserved, his greatest desire was to marry the right girl and have a family-Mark never got that chance. Instead he selflessly gave his life for the country he loved.Since Mark's death, his family's eyes and hearts have been opened to multiple examples of selflessness and patriotism by meeting his teammates and leaders in the military. The family has witnessed first-hand the ability for them to turn off their stern, professional personae and turn on compassion, love, support and acceptance. The author feels a strong desire to Honor our Heroes. This book highlights one hero, SrA Mark A. Forester, and also helps recognize many other men and women who volunteer to fight for our freedom.My Brother in Arms is not a memorial in print, but a biography for continuing Mark's legacy of perseverance, determination and accomplishing our missions on earth. We each have different missions, but what's important is for us to recognize ours and work to accomplish it. In the end, don't we all want to go out while moving forward?

    Packed with 50 lists and 500+ entries, it is a multiplex of pointless Bollywood gyaan. Separated in eight logicless sections and with out a contents page (or index), it is a book for dipping into and zipping through. Remember your favourite Bollywood film fast, actionpacked, mad, packed with colourful characters and a little bit of everything? Well, they made this book out of it. About the AuthorDiptakirti Chaudhuri has been a salesman for more than twelve years now having sold soaps, soft drinks, oils and newspapers all over India. His obsessive love for movies is a hereditary disease, which was nurtured during his engineering and MBA college days. When not watching or reading about mov ies, he writes about them on his blog, Calcutta Chro mosome (http://diptakirti.blogspot.com) or discusses them on Twitter (@diptakirti).He has published a book for children on the 2011 cricket World Cup. This is his second book.He lives in Gurgaon with his wife, a son and a daughter. None of them shares his obsessive love for the movies. Yet.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    

    Everything else can be made, bought or created. Our life is made up of around 600,000 hours and every second is of infinite value. We live in an attention economy where corporations are fighting for our time with the goal of monetizing our every second. The money we use loses value and devalues our time through inflation. When we work, we are exchanging our limited time for money whose quantity increases every year. It hasn’t always been this way. People used gold as money for a reason; it was also a limited resource. Now, what does the future hold?Valuing your time is the first step to improving your life. Knowing that your time is the only limited resource makes you more selective about the things you do, the people you spend your time with and the assets you choose to store your wealth in. Once you learn to appreciate your time, you will get busy doing the things you love and start making better financial choices.

    Traces the evolution of the Dave Matthews Band, and describes their experiences on the road.

    Opening up about the toll that chasing and achieving his dream of being a champion golfer took on his mental health, Bubba Watson shares his powerful story of the breaking point that gave him clarity.Bubba Watson is known as the big-hitting left-handed golfer who plays with the pink driver--the small-town kid who grew up as a child golf prodigy before going on to win two Masters Tournaments, competing in the Olympics, and rising to be the number two golfer in the world.But every dream comes with a price. Feeling that he was never good enough, Bubba began to let the constant criticism from fans and commentators haunt his thoughts. Success in the game he loved was killing him.In Up and Down, Bubba opens up about his debilitating anxiety attacks, the death of his father and namesake, adopting his children, and how reaching a breaking point professionally and personally drew him closer to his family and God.Golf is what Bubba Watson does, but it is not who he is. Through his story, you'll learn how Bubba:Overcame his anxiety and feelings of inadequacyFound his true identity not in the standards of the world, but in the God who already knows he is enoughLearned to trust God with his gifts, family, and biggest dreamsBecame the husband, father, friend, and mentor he was called to beLife, like golf, is filled with ups and downs. Up and Down is the inspiring story of an imperfect man striving to become the best person he can be--wherever the course may take him.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author’s note exploring the background and genesis of each story.   Howey’s incisive mind makes Machine Learning: New and Collected Stories a compulsively readable and thought-provoking selection of short works—from a modern master at the top of his game.

    Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. To help you consider all of possible ramifications of your work on data projects, this report includes: A sample checklist that you can adapt for your own procedures Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences Suggestions for building ethics into your data-driven culture Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.

    The focus of this text is to solve real-world problems using the latest AI techniques. Intelligent systems like expert systems, fuzzy systems, artificial neural networks, genetic algorithms and ant colony systems are discussed in detail with case studies to facilitate in- depth understanding. Since the ultimate goal of AI is the construction of programs to solve problems, an entire chapter has been devoted to the programming languages used in AI problem solving. The theory is well supported by a large number of illustrations and end-chapter exercises. With its comprehensive coverage of the subject in a clear and concise manner this text would be extremely useful not only for undergraduate students, but also to postgraduate students.