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Data Science: A Comprehensive Guide to Data Science, Data Analytics, Data Mining, Artificial Intelligence, Machine Learning, and Big Data - Paperback
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by Richard Hurley (Author)
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
- 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!
- 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!
Number of Pages: 182
Dimensions: 0.42 x 9.02 x 5.98 IN
Publication Date: November 02, 2019