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Data Science
- A Comprehensive Guide to Data Science, Data Analytics, Data Mining, Artificial Intelligence, Machine Learning, and Big Data
- Narrated by: Sam Slydell
- Length: 6 hrs and 10 mins
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Summary
If you want to learn about data science and big data, then pay attention....
Two manuscripts in one audiobook:
- 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
- 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
Some of the topics covered in Part 1 of this audiobook 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 audiobook 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
- 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 "buy" button!
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