This document discusses algorithms and where to learn about them. It provides examples of algorithms like autocomplete, recommendations, and spam detection that are used widely. It also lists several online resources for learning about machine learning, including Kaggle, Reddit forums, online courses from MIT, Codecademy, Coursera and edX.

1. Algorithms

2. 1. About me
2. Algorithms Around Us
3. Where to learn?

3. About Me

4. Autocomplete

5. Mozilla
vs
Chrome
Google accounts for 66.7% of the U.S. market share in core search

6. Recommendations at Amazon, Netflix, and
many others

7. High Frequency Stock Trading (84%)

8. Criminal Reduction Utilizing Statistical History

9. Write News

10. Other Examples
• Spam Detection
• Credit Card Fraud Detection
• Face Detection
• Medical Diagnosis
• Customer Segmentation (CRM)

14. Resources
• https://www.kaggle.com/
• https://www.reddit.com/r/MachineLearning
• http://www.kdnuggets.com/
• https://www.googlesciencefair.com/pl/
• https://www.google.com/edu/resources/programs/
• http://www.nasa.gov/offices/education/about/index.html
• http://ocw.mit.edu/high-school/
• https://www.codecademy.com/
• https://www.coursera.org/
• https://www.edx.org/