1/11 Wanna learn machine learning?

Stop following "influencers" who sell snake oil for self promotion. There are plenty of incredible scientists, engineers, and professors who& #39;ve made a lot of materials available for free.

#MachineLearning #DataScience #Learn
2/11 MIT OpenCourseWare and Khan Academy both have incredible materials for free. There are tons of free textbooks in the public domain as well. I& #39;ll start posting links in this thread.

#learning #MachineLearning #DataScience
3/11 Start with the basics of both the "math" part of Data Science and the CS part of Data Science. Again, plenty of resources for both.

#learning #MachineLearning #DataScience #math #cs
4/11 Let& #39;s start with the math part. The first thing I recommend learning is an intro to probability and stats. A couple options:

https://www.khanacademy.org/math/statistics-probability)
https://www.khanacademy.org/math/stat... href=" https://ocw.mit.edu/courses/mathematics/18-05-introduction-to-probability-and-statistics-spring-2014/

Good">https://ocw.mit.edu/courses/m... free textbooks:
https://open.umn.edu/opentextbooks/textbooks/287
https://open.umn.edu/opentextb... href=" http://www.utstat.toronto.edu/mikevans/jeffrosenthal/book.pdf

https://www.utstat.toronto.edu/mikevans/... href="https://twtext.com//hashtag/learn"> #learn #stats #datascience
7/11 One of the key aspects of being a data scientist is to be able to pull data. They almost always use SQL (or SQL like languages to do this). If I had to quantify the amount of time spent on each task as a Data Scientist, SQL would win, hands down.
#learn #SQL #data
9/11 Onto the meatier part of ML.
The best ML course, hands down is Prof. Andrew Ng& #39;s course on Coursera.

https://www.coursera.org/learn/machine-learning
There">https://www.coursera.org/learn/mac... are also some incredible textbooks available for free, the best among them is:
https://web.stanford.edu/~hastie/Papers/ESLII.pdf

https://web.stanford.edu/~hastie/P... href="https://twtext.com//hashtag/learn"> #learn #machinelearning #datascience
10/11 More often than not, you& #39;re going to be using cloud tools to build and deploy your models, so I would recommend going through the ML courses made available by the industry stalwarts like AWS, Azure, and IBM.

#learn #machinelearning #cloud #datascience
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