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An introduction for everyone. Rather than a "how to" for hands-on techies, this book - now in its revised and updated edition - serves lay listeners and experts alike by covering new case studies and the latest state-of-the-art techniques. In this rich, fascinating, and surprisingly accessible introduction, leading expert Eric Siegel reveals how predictive analytics works and how it affects everyone every day.
From two pioneers in business analytics, an update of the classic book on how analytics and business intelligence are transforming competition and how leading organizations build and compete on an analytical capability. Leading companies are doing more than just collecting and storing data in large quantities - they're now driving their competitive strategies based on data-driven insights. In Competing on Analytics, Davenport and Harris explain how analytics are transforming the basis of competition in industry after industry.
Thinking Statistically is the book that shows you how to think like a statistician, without worrying about formal statistical techniques. Along the way we learn how selection bias can explain why your boss doesn't know he sucks (even when everyone else does); how to use Bayes' theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything.
In March 2006, the world's richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with Âmillion-dollar stakes. At the card table that night was Peter Muller, who managed a fabulously successful hedge fund called PDT. With him was Ken Griffin, who was the tough-as-nails head of Citadel Investment Group. There, too, were Cliff Asness, the founder of the hedge fund AQR Capital Management, and Boaz Weinstein, king of the credit-default swap.
Quantitative trading strategies - known to many as “black boxes” - have gained a reputation of being difficult to explain and even harder to understand. While there is a certain level of complexity to this approach, with the right guidance, you can successfully overcome potential obstacles and begin to excel in this arena. That’s why expert fund manager Rishi Narang has created Inside the Black Box. In a straightforward, nontechnical style - supplemented by real-world examples and informative anecdotes - this reliable resource takes you on a detailed tour through the black box.
In My Life as a Quant, Emanuel Derman relives his exciting journey as one of the first high-energy particle physicists to migrate to Wall Street. Derman details his adventures in this fieldanalyzing the incompatible personas of traders and quants, and discussing the dissimilar nature of knowledge in physics and finance. Throughout this tale, he also reflects on the appropriate way to apply the refined methods of physics to the hurly-burly world of markets.
An introduction for everyone. Rather than a "how to" for hands-on techies, this book - now in its revised and updated edition - serves lay listeners and experts alike by covering new case studies and the latest state-of-the-art techniques. In this rich, fascinating, and surprisingly accessible introduction, leading expert Eric Siegel reveals how predictive analytics works and how it affects everyone every day.
From two pioneers in business analytics, an update of the classic book on how analytics and business intelligence are transforming competition and how leading organizations build and compete on an analytical capability. Leading companies are doing more than just collecting and storing data in large quantities - they're now driving their competitive strategies based on data-driven insights. In Competing on Analytics, Davenport and Harris explain how analytics are transforming the basis of competition in industry after industry.
Thinking Statistically is the book that shows you how to think like a statistician, without worrying about formal statistical techniques. Along the way we learn how selection bias can explain why your boss doesn't know he sucks (even when everyone else does); how to use Bayes' theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything.
In March 2006, the world's richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with Âmillion-dollar stakes. At the card table that night was Peter Muller, who managed a fabulously successful hedge fund called PDT. With him was Ken Griffin, who was the tough-as-nails head of Citadel Investment Group. There, too, were Cliff Asness, the founder of the hedge fund AQR Capital Management, and Boaz Weinstein, king of the credit-default swap.
Quantitative trading strategies - known to many as “black boxes” - have gained a reputation of being difficult to explain and even harder to understand. While there is a certain level of complexity to this approach, with the right guidance, you can successfully overcome potential obstacles and begin to excel in this arena. That’s why expert fund manager Rishi Narang has created Inside the Black Box. In a straightforward, nontechnical style - supplemented by real-world examples and informative anecdotes - this reliable resource takes you on a detailed tour through the black box.
In My Life as a Quant, Emanuel Derman relives his exciting journey as one of the first high-energy particle physicists to migrate to Wall Street. Derman details his adventures in this fieldanalyzing the incompatible personas of traders and quants, and discussing the dissimilar nature of knowledge in physics and finance. Throughout this tale, he also reflects on the appropriate way to apply the refined methods of physics to the hurly-burly world of markets.
Go ahead, be skeptical about big data. The author was - at first. When the term "big data" first came on the scene, best-selling author Tom Davenport ( Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means - and why everyone in business needs to know about it.
Get smart - learn to convert the promise of Big Data into real-world results. There is so much buzz around big data. We all need to know what it is and how it works. 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 shows you how to implement the same practices that leading firms have used to access new dimensions of profitability.
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.
Darrell Huff's celebrated classic How to Lie With Statistics is a straightforward and engaging guide to understanding the manipulation and misrepresentation of information that could be lurking behind every graph, chart, and infographic. Originally published in 1954, it remains as relevant and necessary as ever in our digital world, where information is king - and as easy to distort and manipulate as it is to access.
In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.
Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger - all by the time he was 30. The New York Times now publishes FiveThirtyEight.com, where Silver is one of the nation’s most influential political forecasters. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data.
As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing.
In the decade since their blockbuster international best seller Winning was published, Jack and Suzy Welch have dug deeper into business, traveling the world; consulting to organizations of every size and in every industry; speaking before hundreds of audiences; working closely with entrepreneurs from Mumbai to Silicon Valley; and, in 2010, starting their own fully accredited online MBA program, which now has approximately 1,000 students enrolled.
An introduction for everyone. In this rich, fascinating—surprisingly accessible—introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay listeners and experts alike by covering new case studies and the latest state-of-the-art techniques.
All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such problems for decades.
In Super Bowl XLIX, Seahawks coach Pete Carroll made one of the most controversial calls in football history: With 26 seconds remaining, and trailing by four at the Patriots' one-yard line, he called for a pass instead of a handing off to his star running back. The pass was intercepted, and the Seahawks lost. Critics called it the dumbest play in history. But was the call really that bad? Or did Carroll actually make a great move that was ruined by bad luck? Even the best decision doesn't yield the best outcome every time.
Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up) - your world is awash with data.
As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This audiobook promises to become your "quantitative literacy" guide - helping you develop the analytical skills you need right now in order to summarize data, find the meaning in it, and extract its value.
Would you try another book from Thomas H. Davenport and Jinho Kim and/or Alan Sklar?
No
What was most disappointing about Thomas H. Davenport and Jinho Kim ’s story?
Lacked substance for anyone above high school or sophomore in college
Who would you have cast as narrator instead of Alan Sklar?
Since book is for a younger audience, perhaps a younger narrator.
You didn’t love this book... but did it have any redeeming qualities?
The book spoke of the value of quantitative analysis and hit its mark there most of the time, but not really in any way that isn't already known. It should have practiced with examples what it actually preaches in the book: make quantitative analysis assessable to the non-quants, in the language of non-quants. While it spoke in the language of non-quants, it didn't quite transfer any specific knowledge.
I will however seek other books to help me attain what the title of this book promised. And that is why I must give this book two stars. I spared it a one star because it does an admiral job being a cheerleader for quantitative analysis; that, and learning about a certain hedge fund manager.
Any additional comments?
this book had too much filler; it could have been written seemingly in half the pages
1 of 1 people found this review helpful
What made the experience of listening to Keeping Up with the Quants the most enjoyable?
being able to test the things I learnt with the Quants I work with
What three words best describe Alan Sklar’s voice?
Deep voice. Can be a bit mono at times
Any additional comments?
The first section of the book is a dry read but it does get more interesting and I would recommend management types to read the book.
This book has enabled me to talk the same language as the quants I interact with. Great in that regard! It also helps you to think like a quant with the 6 steps / 3 stages framework.
2 of 3 people found this review helpful
The introduction was good but then book moved to the part of how to talk to quants etc. I was expecting this book to be more technical rather than behavioral.
if you are engaged in business today, you need to understand at least the importance of Analytics. This book won't teach you Analytics, but it will give you enough to know how to approach the subject.
Really is for the business manager and not the analyst. It doesn't use techy terminology but it does explain it. Loads of interesting examples and advice
2 of 2 people found this review helpful
Essential reading for small business or startups mainly working from the ground up. I found this audiobook very informative and entertaining. There was a lot of 'food for thought' here and I will be using the knowledge gained in the real world. Highly recommend!