Analyzing data is not easy due to the fact that you have to figure out which type of data analytics you are going to use, as well as defeat the challenges that you will come up against when it comes to analyzing data. With this book, it is our goal to show you the easiest way to work with data analytics and how you are going to avoid some of the challenges and risks that you will be putting yourself up against when you are working with data.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

Have you ever pause and wonder why your marketing effort is not as successful as expected? Data analytics could be your answer to turn sales around. Data analytics provides the only hope for fact-based and insightful-driven decisions can help companies manage their strategic, operating and financial performance. That's why it's no longer tenable to ignore data analytics. This book has been written with a beginner in mind.

Even though you have no prior knowledge about AI, this guide will let you explore the world of AI and how you can leverage the technology to improve decision-making, enhance efficiency, and boost sales—all while reaching out to more customers.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

Python Machine Learning is a guide to provide you with all the information required to master machine learning using Python. It will give you deep insight into methods of machine learning, deep learning, big data, data science, and more. Furthermore, it will also teach you concepts of Python and how combining machine learning with Python can result in practical solutions. The audiobook touches upon how these solutions can be applied in various fields including governance, technology, business, cybersecurity, and more.

Discover how to take advantage of the coming AI and neural networks revolution, set yourself up for success, and make your businesses future-proof with the definitive guide to artificial intelligence! In this guide, Melvin Doyle skips the fluff and gives a clear overview of the technology explained in plain, simple English. Your eyes will be opened to how AI is transforming the way business is done, as well as techniques and strategies to apply this cutting edge tech to your own businesses.

Machine learning is changing the world. You use machine learning every day and probably don’t know it. In this audiobook, you will learn how ML grew from a desire to make computers able to learn.

Machine learning (and also data science) is a computer algorithm that learns how to improve, adjust, and formulate new rules into itself. It's an important, high-demand field that is going to be the future of computer programming....

Is AI something you’ve heard a lot about but you literally have zero ideas on how to even get started with it? If you want to make moves in the world of business and start bringing in 10 times as more money to your online business, everyone will tell you to use AI. You’ll also be sold the AI dream if you say you want to progress in your career faster than your rivals and find a new way to cruise through your to-do list while making it look easy.

Analytics is a vital part of the business world we live in today. Without a detailed analysis of market conditions and other factors it would be impossible to tell if any new venture, whether it be a new business or the revamp of an old one, would be profitable. Data Analytics: Insider's Guide to Master Data Analytics will help you to better understand the complexities of data analytics.

Blockchain is a distributed ledger technology that has many applications, such as finance, security, banking, insurance, transportation companies, and much more. Blockchain can become a core fundamental component to all industries in the near future, similar to how the Internet evolved. This book is about the basics of blockchain technology and its applications, especially in cryptocurrency, and how it will eventually make a difference in your everyday life.

Python programming has become a must-learn skill in the data science domain. It has evolved as the most preferred programming language for data-driven development because it is suitable for many data science tasks and is easy to learn compared to other programming languages. In short, Python is the closest programming language to fit the goal of a beginner and a great starting place.

Master Python machine learning even if you don’t have a tech background! Are you interested in starting a career in the IT industry, but worry that the market is overly saturated with programmers, engineers, and various specialists? Machine learning is currently the fastest growing IT sector. It’s an artificial intelligence branch and deals with building machines that can imitate humans and even adapt.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.

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.

The race is on to become a digital enterprise. Every organization has a plan for updating products, technologies, and business processes. But that's not enough anymore. With disruptive startups outperforming industry stalwarts, executives everywhere are pushing greater growth and innovation. Staying competitive demands a complete digital transformation.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

World-renowned economist Klaus Schwab, founder and executive chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work.

This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.