Scott Kelby's Digital Photography Parts 1, 2, 3, and 4


Scott Kelby - 2012
    This text tackles the most important side of digital photography - how to take professional-quality shots using the same tricks today's top digital pros use.

Data Structures (SIE)


Seymour Lipschutz - 1986
    The classic and popular text is back with refreshed pedagogy and programming problems helps the students to have an upper hand on the practical understanding of the subject. Salient Features: Expanded discussion on Recursion (Backtracking, Simulating Recursion), Spanning Trees. Covers all important topics like Strings, Arrays, Linked Lists, Trees Highly illustrative with over 300 figures and 400 solved and unsolved exercises Content 1.Introduction and Overview 2.Preliminaries 3.String Processing 4.Arrays, Records and Pointers 5.Linked Lists 6.S tacks, Queues, Recursion 7.Trees 8.Graphs and Their Applications 9.Sorting and Searching About the Author: Seymour Lipschutz Seymour Lipschutz, Professor of Mathematics, Temple University

Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks


Will Kurt - 2019
    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.

The Way to Go: A Thorough Introduction to the Go Programming Language


Ivo Balbaert - 2012
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Getting Clojure


Russ Olsen - 2018
    The vision behind Clojure is of a radically simple language framework holding together a sophisticated collection of programming features. Learning Clojure involves much more than just learning the mechanics of the language. To really get Clojure you need to understand the ideas underlying this structure of framework and features. You need this book: an accessible introduction to Clojure that focuses on the ideas behind the language as well as the practical details of writing code.

Programming Collective Intelligence: Building Smart Web 2.0 Applications


Toby Segaran - 2002
    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

Arduino Projects Book


Scott Fitzgerald - 2012
    Whether you're a rocket scientist or a poet, whether you're ten years old or ninety, we want to make it possible for you to build great projects using computers and electronics.The parts in this kit and the projects explained here form the skeleton of your projects. Arduino can make your projects responsive. It's up to you to make them beautiful.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction


Trevor Hastie - 2001
    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.

Close to Home


L.T. Ryan - 2021
    But even a small town has secrets its inhabitants don't want to surface. And as Bear and Mandy get to know the locals, they realize things are not as they seem in the sleepy upstate New York hamlet.

FUR: Complete Edition


Kate Kent - 2016
    Bitten and dumped, BBW Alicia Morgan has experienced a lot of heartbreak in her life. She longs to find her forever man but she’s afraid to take another chance on love. When temptation comes calling in the form of two hunky alphas she has to fight off her lustful feelings. FURbidden He’s 22 hot, sexy and fully loaded. She’s 32, curvy, divorced and tempted! But he’s her best friend’s little bro and forbidden! BBW wolf shifter Evie Allen has just gone thru a messy divorce and is looking for a “sensible guy”to love. But the young, hunky bear shifter Chad has his own passionate plans in mind for her. FURgiven He’s a rich, hunky bear shifter. She’s a beautiful, curvy mom of two. And when they meet – the heat level sizzles off the charts! BBW Stacy Winston is struggling to support her 14 year old twins. When the opportunity to enter a marriage lottery comes up, the gorgeous bear shifter thinks it may be the solution to her problems. FURocious(Menage) Oohlala! Angel aka Angie Wade is a sweet slice of heaven to hunky bear shifters Kyle and Monty in this blazing hot menage! BBW auction reseller Angel Wade is fed up with Kyle Collin’s roaming eyes. The delicious ‘Bite Me Bar’ bartender is just too hot for his own good. When her handsome new online friend Monty Lawrence comes to town to meet her, she is ready and open to love. FURgotten 1 Hot Rich Dude + 1 Pretty BBW = Nail Biting Romance! Chloe Roberts has a secret. A big one…she’s Chloe Roberts not her twin sister Courtney Roberts. BBW Bite Me Bar bartender Chloe Roberts is having a normal day shopping at the mall when the hottest guy on the planet, wolf shifter Drake Roma, grabs her sweet body from behind. FUR: Complete Edition features all 5 Sexy in Fur spicy standalone BBW paranormal romances with covers. The collection includes lots of sexy scenes and language. Enjoy!

The Diamond Club, Vol 1


Ellie Danes - 2015
     Ryan Jensen is a billionaire bachelor, hell bent on pushing his life to the limits and searching for the ultimate adrenaline rush. When his plans fall apart, Alicia is unwittingly pulled into a world she never knew existed and quite possibly give her the story of a lifetime, but will she risk everything to reach her dream? *** The Diamond Club, Secrets and Lies is a Steamy hot romance with just the right amount of twists and turns. Perfect for fans of JS Scott, Kelly Favor and Hannah Ford. ***

The Soldier's Seed (Southern Skyes)


Sharyn Bradford Lunn - 2012
     In this sweeping story of love and loss, fortune and fate, this masterful storyteller recounts the journeys of the McCabe and Skye families, along with the people who shape their lives, as they strive to make good in the penal colonies of New South Wales and Van Diemen’s Land during the early 1800s. The saga chronicles the two families’ trials and triumphs, joys and injustices, and the inner torment as their lives come full circle and old secrets are revealed. The epic begins with the love of a soldier in the New South Wales Corps for a high-spirited convict woman, but tragedy leads him to the arms of a beautiful native woman. From these unions arise generations of proud Australians who play their part in forging the Great Southern Land. The story of these courageous men and women, their dreams, their dynasty, and the heritage they share is as unique as the land from which they sprang. Southern Skyes brings Australia's history to life with compelling characters, rendering the Australian landscape in all its rugged magnificence. The Soldier’s Seed – Book 1 of Southern Skyes The Soldier’s Seed, the first book of the Southern Skyes family saga, is a novel that captures the wide range of relationships between colonial, convict, and indigenous families during the tumultuous events that defined the early penal colonies of Australia. Nicholas Thomas, a soldier in the New South Wales Corps, loathes his life in Sydney Town and through a series of events of his own making he finds himself running from his past to what could be an even worse fate. While pioneering a new settlement that encounters one problem after another, he struggles to find his true self and identify what he really wants from life . . . until he meets a woman a soldier shouldn't love. When tragedy strikes, he is forced to make choices that will affect his descendants for decades to come. The Soldier's Seed is a heart-rending adventure and an exciting introduction to Australian history and the epic Southern Skyes series. PLUS a Bonus Chapter! Take a sneak peek at Southern Skyes Book 2 – The Divergence

Deep Learning


Ian Goodfellow - 2016
    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.

Python for Data Analysis


Wes McKinney - 2011
    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

Are You Smart Enough to Work at Google?


William Poundstone - 2012
    The blades start moving in 60 seconds. What do you do? If you want to work at Google, or any of America's best companies, you need to have an answer to this and other puzzling questions. Are You Smart Enough to Work at Google? guides readers through the surprising solutions to dozens of the most challenging interview questions. The book covers the importance of creative thinking, ways to get a leg up on the competition, what your Facebook page says about you, and much more. Are You Smart Enough to Work at Google? is a must-read for anyone who wants to succeed in today's job market.