divs-2020/Machine-learning-

Machine-learning-Roadmap

Starting with your machine learning journey and following these resources may take upto 6 months but you will have a full stack developed project at the end of this:)

Github Roadmap Link: https://github.com/mrdbourke/machine-learning-roadmap

1.Linear Algebra

-- MIT OpencourseWare Linear Algebra: https://ocw.mit.edu/courses/mathemati...

--3Blue1Brown Linear Algebra: https://www.youtube.com/watch?v=fNk_z...

--Rachel Thomas Linear Algebra: https://www.youtube.com/watch?v=8iGzB...

2.Calculus

3Blue1Brown Calculus: https://www.youtube.com/watch?v=WUvTy...

3.Probability

Intro to Probability: https://www.edx.org/course/probabilit...

4. Coding and Courses

Python GFG: https://www.geeksforgeeks.org/python-...

Element of AI: https://www.elementsofai.com/

Google ML Crash Course: https://developers.google.com/machine...

5.Tools

-python

• numpy, pandas, scikit, tensorflow
• for frontend: streamlit MadewithML : https://madewithml.com/

6.Deploy on cloud compute services

• https://colab.research.google.com/notebooks/intro.ipynb?utm_source=scs-index

• https://ai.google/tools/

• sagemaker

• Azure

7.Checking your skills

workera : https://workera.ai/

kaggle : https://www.kaggle.com/competitions

8.Intermediate Courses

DeepLearning Curriculum: https://www.deeplearning.ai/

Fastai Part1: https://course.fast.ai/

Fastai Part2: https://course19.fast.ai/part2

cs50 course: https://cs50.harvard.edu/ai/2020/

9.Go full stack for projects

full stack DL: https://fullstackdeeplearning.com/mar...

10.Research papers

useful Links:

• https://arxiv.org/
• https://madewithml.com/
• https://paperswithcode.com/

Now you have great idea about the field of machine learning... Keep Learning and exploring....