Here are a few fields that are experiencing tremendous growth. The links below provide hundreds of popular articles recently published about these topics.
- Deep Learning
- Machine Learning
- IoT (Internet of Things)
- AI (Artificial Intelligence)
- Data Science
Related articles:
Two definitions:
- Deep learning is a version of machine learning that uses artificial intelligence principles, such as pattern recognition or the automation of decision science to deliver actions such as driverless car driving
- IoT is about sensor data collected from various devices via an HTTP protocol, to be analyzed to automate various processes (warming up your home, turning the lights on and off) and generate alerts as needed (when an oil well is about to experience big problems)
Below is a chart from Google, about keyword popularity.
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Additional Reading
- What statisticians think about data scientists
- Data Science Compared to 16 Analytic Disciplines
- 10 types of data scientists
- 91 job interview questions for data scientists
- 50 Questions to Test True Data Science Knowledge
- 24 Uses of Statistical Modeling
- 21 data science systems used by Amazon to operate its business
- Top 20 Big Data Experts to Follow (Includes Scoring Algorithm)
- 5 Data Science Leaders Share their Predictions for 2016 and Beyond
- 50 Articles about Hadoop and Related Topics
- 10 Modern Statistical Concepts Discovered by Data Scientists
- Top data science keywords on DSC
- 4 easy steps to becoming a data scientist
- 22 tips for better data science
- How to detect spurious correlations, and how to find the real ones
- 17 short tutorials all data scientists should read (and practice)
- High versus low-level data science
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