Machine Learning - first steps
Hi Everyone!I'm excited for this community and am hoping to learn a lot and contribute just as much. Right now I'm trying to advance my skills as a basic programmer and have started to investigate machine learning. I have gone through Google AI's machine learning crash course (very new I believe) and their image classification add on. I'm also going through the Stanford Machine Learning Coursera. Together, I've been able to begin creating some basic models and am utilizing Kaggle for datasets. Is anybody else very new to machine learning? What learning tools are you using?
Have you tried fast.ai? I've heard great things about it from family and friends.
I've checked it out but haven't used it - thanks for reminding me about it though. Will leave that tab open to come back to :)
I bought this course "Machine Learning A-Z: Hands on Python & R in Data Science" on Udemy months back, but plan to start it sometime in the next few months: https://www.udemy.com/machinelearning/. Looking at the curriculum, it covers a lot. And, you can get it at a steep discount.
I started as an associate data scientist in March of this year with no data science experience, just programming in python. My boss is awesome; she's been a data scientist for a while and knows a lot about the various resources available and what types of trainings are worthwhile for a newbie. Here's what she's had me do so far for ML:1. (Udemy course) Python for Data Science and Machine Learning Bootcamp https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp/2. (Read textbook) Python Data Science Handbook https://jakevdp.github.io/PythonDataScienceHandbook/3. (edx course) MIT Introduction to Computer Science and Programming Using Python https://www.edx.org/course/6-00-1x-introduction-to-computer-science-and-programming-using-python-34. (Coursera course) Stanford Machine Learning https://www.coursera.org/learn/machine-learning - which you already mentioned :) I've found all of these to be good, but especially the Udemy course and (obviously) Stanford ML. Another good reference is A Super Harsh Guide to Machine Learning: https://www.reddit.com/r/MachineLearning/comments/5z8110/d_a_super_harsh_guide_to_machine_learning/Hope this helps!