March 2017
Beginner
384 pages
9h 24m
English
Content preview from Data Science For Dummies, 2nd Edition
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Chapter 4
Machine Learning: Learning from Data with Your Machine
IN THIS CHAPTER
Understanding the machine learning process
Exploring machine learning styles and algorithms
Overviewing algorithms, deep learning, and Apache Spark
If you’ve been watching any news lately, there’s no doubt that you’ve heard of something called machine learning. It’s often referenced when reporters are covering stories on some new and amazing invention from artificial intelligence. In this chapter, you dip your toes into the area called machine learning, and in Chapter 8, you get a view on how machine learning works within this new world of artificial intelligence inventions.
Defining Machine Learning and Its Processes
Machine learning is the practice of applying algorithmic models to data, in an iterative manner, so that your computer discovers hidden patterns or trends that you can use to make predictions. It’s also called algorithmic learning. Machine learning has a vast and ever-expanding assortment of use cases, including
- Real-time Internet advertising
- Internet marketing personalization
- Internet search
- Spam filtering
- Recommendation engines
- Natural language processing and sentiment analysis ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.