Big Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data, Paperback

If you want to learn about big data, then keep reading...

Do you want to understand what big data is all about, but you don't get all the hype?

Are you intrigued by the idea of building a career around big data and data science, but you just don't understand it?

If so, this book could be what you are looking for.

In this book, we will explore the hot concept of big data and explain it for beginners like yourself.

If you know nothing about big data now, you will come away with a good overview of the subject and how it integrates into the other hot technologies of the day widely adopted by business, such as artificial intelligence, predictive analytics, and machine learning.

Even if you don't intend to get directly involved in big data, understanding it will be very important in the coming years. It is one of the most important phenomena to hit in many years. It took some time for technology to catch up so that big data could be analyzed and processed, but now we are in the midst of a data revolution.

Big data powers many of the world's most powerful companies, including Facebook, Amazon, and Google, among others.

In this book, you will learn:

• What is big data, and why is it important?
• The five V's behind big data
• How big data is already impacting your life, and where big data may be headed
• How big data and your everyday devices and appliances will come together in unexpected ways via the Internet of Things
• How companies and governments are using predictive analytics to get ahead of the competition or improve service
• How big data is used for fraud detection
• How big data can train intelligent computer systems
• The many ways large corporations are benefiting from big data and the tools that use it like machine learning, AI, and predictive analytics
• Upcoming trends in big data that are sure to have a large impact on your future
• Artificial intelligence, and how big data drives its development
• What machine learning is and how it is tied to big data
• The relationship between big data, data analytics, and business intelligence
• Insights into how big data impacts privacy issues
• The pros and cons regarding big data
• And much, much more