Data Science: A Comprehensive Guide to Data Science, Data Analytics, Data Mining, Artificial Intelligence, Machine Learning, and Big

If you want to learn about data science and big data, then keep reading...
Two manuscripts in one book:

• Data Science: What You Need to Know About Data Analytics, Data Mining, Regression Analysis, Artificial Intelligence, Big Data for Business, Data Visualization, Database Querying, and Machine Learning
• Big Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data Science, Data Analytics, Business Intelligence, and Data Mining

This book will discuss everything that you need to know when it comes to working in the field of data science. This world has changed, and with the modern technology that we have, it is easier than ever for companies to amass a large amount of data on the industry, on their competition, on their products, and their customers. Gathering the data is the easy part, though. Being able to sort through this data and understand what it is saying is going to be a unique challenge all on its own. This is where the process and field of data science can come in.

There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today.

Some of the topics covered in part 1 of this book include:

• What is Data Science?
• What Exactly Does a Data Scientist Do?
• A Look at What Data Analytics Is All About
• What is Data Mining and How Does It Fit in with Data Science?
• Regression Analysis
• Why is Data Visualization So Important When It Comes to Understanding Your Data?
• How to work with Database Querying
• A Look at Artificial Intelligence
• What is Machine Learning and How Is It Different from Artificial Intelligence?
• What is the Future of Artificial Intelligence and Machine Learning?
• And much more

Some of the topics covered in part 2 of this book include:

• 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

So if you want to learn more about data science and big data, click the "add to cart" button