Learning Machine Learning
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An introduction to Machine Learning & Deep Learning. Tips and pointers on how to get started with ML. The prerequisites, useful online resources, examples, services and frameworks (video links appear in the transcript below).
Learning Machine Learning
- 1. credit: Photo by Gaetano Cessati on Unsplash Benny Bauer (@benikbauer) Learning Machine Learning
- 2. Anyone knows this person?
- 4. source: https://towardsdatascience.com/cousins-of-artificial-intelligence-dda4edc27b55 AI vs. ML vs. DL
- 7. source: https://towardsdatascience.com/cousins-of-artificial-intelligence-dda4edc27b55 http://www.deeplearningbook.org/contents/intro.html, Figure 1.5 How Deep Learning works?
- 12. Cognition as a Service ML as a Service AI Services Stack ML IaaS
- 13. Cognition as a Service ML as a Service ML IaaS
- 17. Cognition as a Service ML as a Service ML IaaS
- 21. Cognition as a Service ML as a Service ML IaaS
- 22. ML IaaS - Hardware accelerated instances - VM images with ML frameworks
- 23. Getting Started as ML Engineer
- 26. ¢ Math ＄ Linear algebra ＄ Calculus ＄ Statistics & Probability ¢ Data processing ¢ Coding Prerequisites source: https://towardsdatascience.com/some-useful-advice-and-q-a-for-machine-learning-data-science-starters-part-i-54f8abd531d5 https://towardsdatascience.com/how-to-shrink-numpy-scipy-pandas-and-matplotlib-for-your-data-product-4ec8d7e86ee4
- 27. Courses
- 28. Courses
- 29. And more courses... https://github.com/josephmisiti/awesome-machine-learning/blob/master/courses.md
- 31. Tools
- 34. Blogs & Facebook https://towardsdatascience.com/ https://becominghuman.ai/ ????????? ??????? Machine & Deep learning Israel
- 36. Examples
- 38. Questions?
- 40. A few more words about AI