Book picks similar to
Artificial Intelligence for Business: What You Need to Know about Machine Learning and Neural Networks by Doug Rose
adquired
artificial-intelligence
b-ideas
belf
The Unofficial Author's Guide To Selling Your Book On Amazon: The Top 5 Cheat Sheet for Self Publishing Authors
Richard McCartney - 2016
This Unofficial Guide unveils many of the hidden secrets to promoting your published book.
How can I get my book into the Hot New Releases? How can I get my book to appear along side the Best Sellers on Amazon? How can I pick the best book category for my book, and why are they hidden from me in Kindle Direct Publishing (KDP)?
I’m now going to show you the answers.
I’m going to tell you what is really going on. This Kindle book is quite literally a cheat sheet, a short cut to your biggest challenge on Amazon: Getting discovered.
Get your copy now!
Learn Python The Hard Way
Zed A. Shaw - 2010
The title says it is the hard way to learn to writecode but it’s actually not. It’s the “hard” way only in that it’s the way people used to teach things. In this book youwill do something incredibly simple that all programmers actually do to learn a language: 1. Go through each exercise. 2. Type in each sample exactly. 3. Make it run.That’s it. This will be very difficult at first, but stick with it. If you go through this book, and do each exercise for1-2 hours a night, then you’ll have a good foundation for moving on to another book. You might not really learn“programming” from this book, but you will learn the foundation skills you need to start learning the language.This book’s job is to teach you the three most basic essential skills that a beginning programmer needs to know:Reading And Writing, Attention To Detail, Spotting Differences.
Wordpress for Beginners - A Visual Step-by-Step Guide to Creating your Own Wordpress Site in Record Time, Starting from Zero! (Webmaster Series)
Andy Williams - 2012
Not any more. Wordpress makes it possible for anyone to create and run a professional looking website.While Wordpress is an amazing tool, the truth is it does have a steep learning curve, even if you have built websites before. Therefore, the goal of this book is to take anyone, even a complete beginner and get them building a professional looking website. I'll hold your hand, step-by-step, all the way. As I was planning this book, I made one decision early on. I wanted to use screenshots of everything, so the reader wasn't left looking for something on their screen that I was describing in text. This book has screenshots. I haven't counted them all, but it must be close to 300. These screenshots will help you find the things I am talking about. They'll help you check your settings and options against the screenshot of mine. No more doubt, no more wondering if you have it correct. Look, compare and move on to the next section.With so many screenshots, you may be worried that the text might be a little on the skimpy side. No need to worry there. I have described in the minutest detail, every step on your journey to a great looking website. In all, this book has over 35,000 words. This book will cut your learning curve associated with WordpressEvery chapter of the book ends with a "Tasks to Complete" section. By completing these tasks, you'll not only become proficient at using Wordpress, you'll become confident & enjoy using Wordpress.
Foundations of Statistical Natural Language Processing
Christopher D. Manning - 1999
This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
Wal-Mart Book of Ethics Abridged Edition
R.A. Wilson - 2012
Why else would you be looking at this book? If you have ever wanted to see behind the front lines of retail, this is the book for you. If you want to validate your own experiences in retail, this is the book for you. If you just want to laugh at humorous things from funny people, this is the book for you. Packed full of true short stories from working in one of these super stores, only one conclusion can be reached in the end: Wal-Mart is the craziest place on Earth!
Effective Data Visualization: The Right Chart for the Right Data
Stephanie D.H. Evergreen - 2016
H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints--supported by research and the author's extensive experience with clients in industries all over the world--for conveying data in an impactful way. Delivered in Evergreen's humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel.
Mastermind: How Dave Brailsford Reinvented the Wheel
Richard Moore - 2013
Leading cycling writer Richard Moore's profile of Dave Brailsford, the head of Team Sky and the man who masterminded the British Cycling revolution, gives a unique insight into the psychology of one of the most fascinating figures in world sport.
Make Your Own Neural Network
Tariq Rashid - 2016
Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.
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
The Decline and Fall of IBM: End of an American Icon?
Robert Cringely - 2014
Big Blue, as the company is known, tends to rely for its success on magical thinking but that magic ran out a long time ago. The company got in trouble back in the 1990s and had to hire for the first time an outside CEO, Lou Gerstner, to save the day. Gerstner pushed IBM into services with spectacular results but this hurt the company, too. As services have became commoditized IBM could only compete by offshoring the work and quality suffered. The other negative impact of Gerstner was his compensation which was for the first time in IBM history very high. Only the Watson family had become rich running IBM with later CEOs like John Opel and John Akers living comfortable lives with lots of perks, but they never got BIG RICH. That changed with Gerstner. Sam Palmisano an IBM lifer followed Gerstner as CEO and followed, too, the Gerstner playbook. Palmisano retired three years ago with a retirement package worth $241 million, replaced by IBM's first woman CEO, Ginni Rometty, who certainly expects a comparable golden parachute. In order to achieve these numbers, though, IBM has essentially sacrificed both its customers and employees. In order to have ever growing earnings per share the company has cut labor to the bone, off-shored everything it can, dropped quality, deliberately underbid contracts to win them then not performed. IBM's acquisition policy is one of buying companies to get their sales then cutting costs to the bone and under-delivering. This and share buybacks have kept earnings growing until this house of cards recently began to fall. Ginni Rometty, who will end up taking the fall for Palmisano's flawed strategy, has stated a very specific earnings goal for 2015 that she will destroy the company to achieve if she must. This book how IBM fell from grace, where it is headed, and what specifically can be done to save the company before it is too late.
Social Statistics for a Diverse Society
Chava Frankfort-Nachmias - 1996
The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.
The Greatest Company In The World? The Story Of Tata
Peter Casey - 2014
How did Tata transform itself from a family-owned business to one of the most professionally managed enterprises in the world? How did it become a world leader in an array of unrelated businesses—from steel and automobile manufacturing to hotels and IT consulting? What exactly is the ‘Tata Way’, which has earned it so much admiration and respect?This brief history of the Tatas charts the contribution of every Tata chairman—from Jamsetji Tata, who set up the company in 1868, to Ratan Tata and Cyrus Mistry—and explores the values at the heart of the Tata Group, as well as the role played in its development by the philanthropic trusts that own two-thirds of the company.For anyone curious about this Indian company that has become a leading global player, this book is the perfect introduction.
Retirement 101: From 401(k) Plans and Social Security Benefits to Asset Management and Medical Insurance, Your Complete Guide to Preparing for the Future You Want
Michele Cagan - 2019
Whether you want to retire as soon as possible or are looking forward to continuing to work in some form for as long as you can, Retirement 101 guides you through each step as you approach this important milestone. From how to save for the day when you stop—or scale back—working to smart investment strategies to the best states to retire in to how to calculate your benefits, Retirement 101 helps you create a retirement plan to accomplish your goals, whatever they are.
Smart Machines: IBM's Watson and the Era of Cognitive Computing
John E. Kelly III - 2013
The victory of IBM's Watson on the television quiz show Jeopardy! revealed how scientists and engineers at IBM and elsewhere are pushing the boundaries of science and technology to create machines that sense, learn, reason, and interact with people in new ways to provide insight and advice.In Smart Machines, John E. Kelly III, director of IBM Research, and Steve Hamm, a writer at IBM and a former business and technology journalist, introduce the fascinating world of "cognitive systems" to general audiences and provide a window into the future of computing. Cognitive systems promise to penetrate complexity and assist people and organizations in better decision making. They can help doctors evaluate and treat patients, augment the ways we see, anticipate major weather events, and contribute to smarter urban planning. Kelly and Hamm's comprehensive perspective describes this technology inside and out and explains how it will help us conquer the harnessing and understanding of "big data," one of the major computing challenges facing businesses and governments in the coming decades. Absorbing and impassioned, their book will inspire governments, academics, and the global tech industry to work together to power this exciting wave in innovation.
The Weekend That Changed Wall Street: An Eyewitness Account
Maria Bartiromo - 2010
During a single historic weekend (September 12-14, 2008) the fate of Lehman Brothers was sealed, Merrill Lynch barely survived, and AIG became a ward of the federal government. Top CNBC anchor Maria Bartiromo spent the entire weekend taking frantic phone calls from the most powerful players on Wall Street and in Washington, as they toiled to keep the economy from complete collapse. Those CEOs and dozens of other sources gave Bartiromo behind-the-scenes details unavailable to other members of the media, of the crisis and its aftermath. Now she draws on her high-level network to provide an eyewitness account of the biggest events of the financial crisis including at length interviews with former treasury secretary Henry Paulson, former AIG chairman Hank Greenberg, former Merrill Lynch CEO John Thain, and JP Morgan CEO Jamie Dimon, among many others. Writing with both authority and dramatic flair, Bartiromo weaves a thrilling narrative that will make news. She also tackles the big questions: how did an unmatched period of market euphoria and growth turn sour, catapulting the economy into a dangerous slide? And in the long run, how will the near-catastrophe really change Wall Street?