"I like how the author builds quite high expectations in the introduction of the book, and manages to fulfill them fully throughout the book.""I am amazed at his ability to focus on teaching people, like me, who have done basically nothing with cameras other than point and shoot. There is a wealth of useful and understandable information in this book,...""I've been photographing for years since first SLR in 1960s and yet I found much of interest and some I was unfamiliar with. I especially appreciated the clear, concise presentation."" Even us 'know-it-alls' are surprised by the information that cleared-up some uncertain items that had existed too long.""As a former photography student who learned almost nothing over a two year period, I can now say that I fully understand the terminology and possess the technical skill to take better photographs and possibly revisit my dream of becoming a sports photographer." Whether You are New to Photography,making the transition from Film to Digital Photography, or just want to improve your skills, this book will save you TIME and MONEY! No more intimidation! If you understand how Digital Cameras work, every photo becomes a learning experience. Many people are walking around with expensive cameras that they barely know how to use and others are missing great photo opportunities because they have been misinformed by well-meaning friends. This book is based on the premise that a solid understanding of photographic equipment results in a faster learning curve and better photos. The technology is actually quite simple when it is broken down and clearly explained.Without an understanding of cameras, you are at the mercy of others in all your buying decisions. You will only scratch the surface of your camera's capabilities until you take on its manual settings. You need to read this book because: It will take the confusion out of Photographic terminology by clearly defining every important term used. Your learning will be enhanced by 120 charts and photos that will simplify discussions and help you to remember what you learned. You will learn why buying a camera based on Megapixels alone is a bad idea. You will learn how sensor size and lens selection affect image quality more than any other factors. Strange photographic terms will loose their mystique once you learn how they were carried over from film photography. ˃˃˃ You will also learn: How digital images are created and stored.Which file format to use when editing photos.Which file format to use when sharing photos.How to select a lens for your DSLR camera.How to properly adjust exposure.Why a zoom lens can be a very good investment.Why you should care about focal length, aperture, shutter speed, and ISO as well as what these terms mean. ˃˃˃ About the author: Al Judge is a professional photographer living in Sedona, Arizona. His works are displayed in several locations around town. He is a best selling author with more than a dozen photography books. Don’t waste any more time! Scroll up and grab a copy today for little more than the cost of a cup of coffee!

    We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands

    You’ll learn…• How a noise reduction headset at 35,000 feet led to the creation of Pepsi’s new trademarked signature sound.• How a worn down sneaker discovered in the home of an 11-year-old German boy led to LEGO’s incredible turnaround.• How a magnet found on a fridge in Siberia resulted in a U.S. supermarket revolution.• How a toy stuffed bear in a girl’s bedroom helped revolutionize a fashion retailer’s 1,000 stores in 20 different countries.• How an ordinary bracelet helped Jenny Craig increase customer loyalty by 159% in less than a year.• How the ergonomic layout of a car dashboard led to the redesign of the Roomba vacuum.

    As a modern application developer you need to understand the emerging field of data management, both RDBMS and NoSQL. Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source databases today. In the tradition of Bruce A. Tate's Seven Languages in Seven Weeks, this book goes beyond your basic tutorial to explore the essential concepts at the core each technology. Redis, Neo4J, CouchDB, MongoDB, HBase, Riak and Postgres. With each database, you'll tackle a real-world data problem that highlights the concepts and features that make it shine. You'll explore the five data models employed by these databases-relational, key/value, columnar, document and graph-and which kinds of problems are best suited to each. You'll learn how MongoDB and CouchDB are strikingly different, and discover the Dynamo heritage at the heart of Riak. Make your applications faster with Redis and more connected with Neo4J. Use MapReduce to solve Big Data problems. Build clusters of servers using scalable services like Amazon's Elastic Compute Cloud (EC2). Discover the CAP theorem and its implications for your distributed data. Understand the tradeoffs between consistency and availability, and when you can use them to your advantage. Use multiple databases in concert to create a platform that's more than the sum of its parts, or find one that meets all your needs at once.Seven Databases in Seven Weeks will take you on a deep dive into each of the databases, their strengths and weaknesses, and how to choose the ones that fit your needs.What You Need: To get the most of of this book you'll have to follow along, and that means you'll need a *nix shell (Mac OSX or Linux preferred, Windows users will need Cygwin), and Java 6 (or greater) and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.

     Full of drama, sadness, grief, joy and gritty story lines, this series takes a close look at what life was like in the post-war, East End of London. Poverty, squalid living conditions and hard times all jostle for space, but the overriding feeling is one of strong women, facing their hardships head on. Find out more about this intriguing time, in our look behind the scenes, and also discover how the East End had been shaped over the centuries.

     In fact, it may even be bigger than the Internet. It is such a profound paradigm shift in the technology of money that even experts on the topic are still trying to wrap their heads around it. Pandora's box has been opened and there is no going back. Bitcoin will forever transform society and its implications are beyond what we can even currently imagine. Bitcoin can be hard to grasp at first – and if someone has tried to explain it to you and you feel like you still don't get it, don't worry. This book will take you by the hand and explain to you in the simplest terms, using analogies, metaphors and illustrations what the essence of Bitcoin is and why you must pay attention to the revolution that is about to take place. In Bitcoin for Beginners you will find out: How the Bitcoin Technology works The difference between Bitcoin and Blockchain How mining works How to make money with Bitcoin The top myths about Bitcoin How Bitcoin will take over the world How to buy and sell Bitcoin What forks are And much more! DON'T HESITATE. TO START ON A JOURNEY THAT COULD DEEPLY TRANSFORM HOW YOU RELATE TO THE CONCEPT OF MONEY, SCROLL UP AND CLICK THE "BUY" BUTTON NOW!

    From Louis Michaud, a retired refinery engineer who claims we can harness the energy of man-made tornadoes, to a professor and a businessman who are running a company that genetically modifies algae so it can secrete ethanol naturally, these individuals and their unorthodox methods are profiled through first-person interviews, exposing the social, economic, financial, and personal barriers that prevent them from making an impact with their ideas. The existing state of green energy technologies, such as solar, wind, biofuels, smart grid, and energy storage, is also explored, creating a sense of hope against a backdrop of climate dread.

    In a bold and provocative argument, Energy Transitions: History, Requirements, Prospects describes the history of modern society's dependence on fossil fuels and the prospects for the transition to a nonfossil world. Vaclav Smil, who has published more on various aspects of energy than any working scientist, makes it clear that this transition will not be accomplished easily, and that it cannot be accomplished within the timetables established by the Obama administration.The book begins with a survey of the basic properties of modern energy systems. It then offers detailed explanations of universal patterns of energy transitions, the peculiarities of changing energy use in the world's leading economies, and the coming shifts from fossil fuels to renewable conversions. Specific cases of these transitions are analyzed for eight of the world's leading energy consumers. The author closes with perspectives on the nature and pace of the coming energy transition to renewable conversions.

    In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.

    It has become widely accepted within the investment, political, and media sectors that America is on the decline and that China will drive the global agenda in the 21st century.To which I say, not so fast. This book carefully examines the trends and actual hard data from the economic, geopolitical, financial, and demographic spheres and comes to an inescapable conclusion: America’s future has never been brighter.Forged in the 20th century, America’s leadership role will expand in the 21st century, resulting in a substantial rise in the standard of living, not just for Americans but also across the world.

    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.

    Their results shocked the world and created stirring conversation about global 'overshoot,' or resource use beyond the carrying capacity of the planet. Now, preeminent environmental scientists Donnella Meadows, Jorgen Randers, and Dennis Meadows have teamed up again to update and expand their original findings in The Limits to Growth: The 30 Year Global Update.Meadows, Randers, and Meadows are international environmental leaders recognized for their groundbreaking research into early signs of wear on the planet. Citing climate change as the most tangible example of our current overshoot, the scientists now provide us with an updated scenario and a plan to reduce our needs to meet the carrying capacity of the planet.Over the past three decades, population growth and global warming have forged on with a striking semblance to the scenarios laid out by the World3 computer model in the original Limits to Growth. While Meadows, Randers, and Meadows do not make a practice of predicting future environmental degradation, they offer an analysis of present and future trends in resource use, and assess a variety of possible outcomes.In many ways, the message contained in Limits to Growth: The 30-Year Update is a warning. Overshoot cannot be sustained without collapse. But, as the authors are careful to point out, there is reason to believe that humanity can still reverse some of its damage to Earth if it takes appropriate measures to reduce inefficiency and waste.Written in refreshingly accessible prose, Limits to Growth: The 30-Year Update is a long anticipated revival of some of the original voices in the growing chorus of sustainability. Limits to Growth: The 30 Year Update is a work of stunning intelligence that will expose for humanity the hazy but critical line between human growth and human development.

    Add the future of energy, economics and geopolitics. Season with human nature ...The Burning Question reveals climate change to be the most fascinating scientific, political and social puzzle in history. It shows that carbon emissions are still accelerating upwards, following an exponential curve that goes back centuries. One reason is that saving energy is like squeezing a balloon: reductions in one place lead to increases elsewhere. Another reason is that clean energy sources don't in themselves slow the rate of fossil fuel extraction.Tackling global warming will mean persuading the world to abandon oil, coal and gas reserves worth many trillions of dollars - at least until we have the means to put carbon back in the ground. The burning question is whether that can be done. What mix of politics, psychology, economics and technology might be required? Are the energy companies massively overvalued, and how will carbon-cuts affect the global economy? Will we wake up to the threat in time? And who can do what to make it all happen?

    Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!