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Big Data: How New Data and the Internet Help Us Analyze Everything

por David Feldspar

Book 1:
Big data can tremendously improve a company’s performance.
Many company owners or accountants don’t look at all the numbers, misread the numbers, or don’t know how to scale faster and more effectively. In this audiobook, you can listen to information on topics like:
Obstacles most businesses face when trying to process technological data Customer analysis based on data to understand them better Using databases to create more wealth, higher profit margins, and happier customers Improving business data storage and using video marketing services the right way Human resources data and challenges when looking at small and big data Better performance and security though online data and protective systems Safeguarding your data from various security attacks

Book 2:
Discover the correct data and solutions for your organization now.

All organizations, especially larger ones, face this one dilemma: sorting and reading the big data. Whether it’s a business, NGO, or another organization, patterns and numbers need to be understood to keep management as effective as possible. This audio solves all kinds of problems and addresses topics for entrepreneurs, accountants, and managers, such as:
The importance of big data and its significance to companiesWhy investing in more effective big data analysis can help firms scale up massively Big data for small and midsize businessesThe top factors to take into account when viewing and interpreting the details of big data The two problems that can happen when implementing Big Data HadoopHow big data help any organization compete in a crazy, competitive society

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The Customer Tomorrow: Strategies for Keeping Pace with Rapidly Changing Behaviors, Technologies, and Expectations

por Knowledge Wharton

Knowledge@Wharton Essentials With consumer decisions being made at increasing speed, and the time it takes to win wallet-share rapidly shrinking, how can you prepare? Today's customer has more access to information and influencers, at a click or swipe, than ever before. The speed at which consumer decisions are made keeps increasing, and the time it takes for battles over wallet-share to be won or lost is shrinking rapidly. Every fundamental assumption about customers is now being challenged: how they shop, where they shop, and why they shop. In this rapidly evolving environment, understanding consumers' behaviors is more critical than ever. The Customer of Tomorrow examines many of the changing behaviors, technologies, and expectations that companies must understand in order to build valuable and lasting relationships in the years to come. Drawn from the best of Knowledge@Wharton's reporting, this volume in the Knowledge@Wharton Essentials series features stories addressing: • Customer loyalty in the age of big data • When more data doesn't mean better customer service • How to build loyal customers in the information age • Why customer service is often the ignored side of social media • When does it make sense to have a bricks & mortar location for customers The Customer of Tomorrow will help you continue to win wallet-share with customers. Gildan Media is proud to bring you another Wharton Digital Press Audiobook. These notable audiobooks contain the essential tools that can be applied to every facet of your career. Knowledge@Wharton Essentials With consumer decisions being made at increasing speed, and the time it takes to win wallet-share rapidly shrinking, how can you prepare? Today's customer has more access to information and influencers, at a click or swipe, than ever before. The speed at which consumer decisions are made keeps increasing, and the time it takes for battles over wallet-share to be won or lost is shrinking rapidly. Every fundamental assumption about customers is now being challenged: how they shop, where they shop, and why they shop. In this rapidly evolving environment, understanding consumers' behaviors is more critical than ever. The Customer of Tomorrow examines many of the changing behaviors, technologies, and expectations that companies must understand in order to build valuable and lasting relationships in the years to come. Drawn from the best of Knowledge@Wharton's reporting, this volume in the Knowledge@Wharton Essentials series features stories addressing: • Customer loyalty in the age of big data • When more data doesn't mean better customer service • How to build loyal customers in the information age • Why customer service is often the ignored side of social media • When does it make sense to have a bricks & mortar location for customers The Customer of Tomorrow will help you continue to win wallet-share with customers. Gildan Media is proud to bring you another Wharton Digital Press Audiobook. These notable audiobooks contain the essential tools that can be applied to every facet of your career.

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Big Data: Analytics in Revolution for Business and Science

por David Feldspar

Big data can tremendously improve a company’s performance.

Many company owners or accountants don’t look at all the numbers, misread the numbers, or don’t know how to scale faster and more effectively. In this audiobook, you can listen to information on topics like:

Obstacles most businesses face when trying to process technological data
Customer analysis based on data to understand them better
Using databases to create more wealth, higher profit margins, and happier customers
Improving business data storage and using video marketing services the right way
Human resources data and challenges when looking at small and big data
Better performance and security though online data and protective systems
Safeguarding your data from various security attacks
Become familiar with the secret gems hiding beneath the numbers. These are the details that will keep your company, customers, and profits safe and help them grow at a steady or accelerated pace.

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Predictive Marketing: Easy Ways Every Marketer Can Use Customer Analytics and Big Data

por Omer Artun

Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this audiobook focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations - in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This audiobook shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learning technology Base marketing decisions on concrete data rather than unproven ideas Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.

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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Revised and Updated

por Eric Siegel

Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating - surprisingly accessible - introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction - now in its Revised and Updated edition - former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: How does predictive analytics work? This jam-packed audiobook satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it - or consumed by it - get a handle on the power of Predictive Analytics.

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Learn Python: A Crash Course On Python Programming and How To Start Coding With It. Learn The Basics Of Machine Learning and Data Analysis

por Damon Parker

Python programming language has rendered itself as the language of choice for coding beginners and advanced software programmers alike.
This book is written to help you master the basic concepts of Python coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume. Python was designed primarily to emphasize readability of the programming code, and its syntax enables programmers to convey ideas using fewer lines of code. Python programming language increases the speed of operation while allowing for higher efficiency in creating system integrations.
Some of the highlights of the audiobook include:
● Step by step instructions on how to install Python on your operating systems (Windows, Mac, and Linux).
● Learn how to create Python variables and assign desired data type to them.
● Basic concepts of writing efficient and effective Python codes, focusing on various programming elements such as Booleans, Tuples, Sets, Dictionaries, and much more.
● Learn the basic concepts of big data analysis and machine learning algorithms.
● Brief overview of various renowned machine learning libraries such as Scikit-Learn, NumPy, SciPy, and more.
All the concepts are explained with standard Python coding syntax supported with relevant examples and followed by exercises to help you test and verify your understanding of those concepts. Finally, as an added bonus you will learn some Python tips and tricks to take your machine learning programming game to the next level.
Don't you think it can be that easy? If you really want to have proof of all this, don't waste any more time!
Grab your copy now!

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Machine Learning: The New AI

por Ethem Alpaydi

Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition -- as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning -- the foundation of efforts to process that data into knowledge -- has also advanced. 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. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of "data science," and discusses the ethical and legal implications for data privacy and security.

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Think Bigger: Developing a Successful Big Data Strategy for Your Business

por Mark Van Van Rijmenam

Big data--the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized--is revolutionizing business. Offering real-world insight and explanations, this book provides a roadmap for organizations looking to develop a profitable big data strategy...and reveals why it's not something they can leave to the I.T. department. Sharing best practices from companies that have implemented a big data strategy including Walmart, InterContinental Hotel Group, Walt Disney, and Shell, Think Bigger covers the most important big data trends affecting organizations, as well as key technologies like Hadoop and MapReduce, and several crucial types of analyses. In addition, the audiobook offers guidance on how to ensure security, and respect the privacy rights of consumers. It also examines in detail how big data is impacting specific industries--and where opportunities can be found. Big data is changing the way businesses--and even governments--are operated and managed. Think Bigger is an essential resource for anyone who wants to ensure that their company isn't left in the dust.

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How To Market A Book: Third Edition

por Joanna Penn

Do you want to sell more books and reach more readers?
Do you want to discover how to build an author career for the long-term as well as spike your book sales right now?
If you don’t know much about marketing, don’t worry. We all start with nothing.
I’m Joanna Penn and back in 2008, I had no book sales, no audience, no website, no social media, no podcast, no email list. No nothing.
Now I’m a New York Times and USA Today bestselling author of thrillers and non-fiction. My books have sold over 500,000 copies in 86 countries, and I’m an award-winning creative entrepreneur and international speaker, making a multi-six-figure income with my writing.
Learning how to market my books and my personal brand changed my life. Yes, you need to write an awesome book, but you also need to know how to get it in front of the right readers.
How to Market a Book is for authors who want to sell more books, but it's also for those writers who want to think like an entrepreneur and build a long-term income. It's for traditionally published authors who want to take control of their future, and for self-published authors who want to jump-start a career.
There are short-term tactics for those who want to boost immediate sales, but the focus of the book is more about instilling values and marketing principles that will help your long-term career as a writer.
It's also about going beyond just the book, because these methods can take you from being an author into making money from other products, professional speaking, and creating opportunities that you can't even imagine yet.


In this completely updated Third Edition, you’ll discover:
PART 1 Marketing Principles
Book marketing myths, how discoverability works, and the polarities of marketing that will determine what you choose to implement
PART 2: Your Book Fundamentals
Prerequisites for success, how to optimise your book for online sales, categories and keywords, exclusivity, pricing and use of free, box-sets and bundling, and writing series
PART 3: No Platform Needed. Short-term Marketing
How to get customer reviews and find book bloggers, paid advertising with email blasts, paid advertising with Facebook, Amazon Ads and ad stacking, algorithm hacking, big data, and production speed
PART 4: Your Author Platform. Long-term Marketing
Building an author brand, author website, list-building and email marketing, content marketing, blogging, audio and podcasting, video and book trailers, social networking, professional speaking, marketing audiobooks, PR and publicity, TV, radio and traditional media
PART 5: Launching Your Book
Why launching is different for indie authors, soft launch, launch spikes, post launch, how to relaunch backlist books. Includes an example book marketing strategy and launch plan checklist.

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Machine Learning: Understanding Big Data, Text Analytics, and Deep Learning

por David Feldspar

Book 1: Modern-age machines can deepen and quicken our comprehension of numerous areas and fields. Should we come across such enlightening logic, we better take in all the information we can get, especially if you're operating in such a field requires such advanced skills. In this audiobook, you’ll increase your knowledge and analytical abilities by listening to certain topics.
Book 2: In a time when everyone is trying to advertise online and offline, the meaning people attach to a word can be significant. With all the unstructured data out there, and the guidance we need to take texts apart and look at them from a logical perspective, analyzing skills have become mandatory to any individual working in marketing, text content creation, or otherwise.
Book 3: All organizations, especially larger ones, face this one dilemma: sorting and reading the big data. Whether it’s a business, NGO, or another organization, patterns and numbers need to be understood to keep management as effective as possible

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The Big Data Audiobooks that we put at your disposal are books highly valued by readers and have been recommended. Thus, you will be able to read only the best of the best and enjoy an exciting, interesting, and engaging read from the beginning to the end.

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