Self-Researching Machine Learning? Remind you of these 6 matters

Machine learning engineer Daniel Bourke shares his recommendations for self-learning machine learning.

Leanring machine learning can be difficult. It can be the mixture of numerous fields which you could shell out many years finding out each on their individual.

I’ve been self-researching machine learning for the previous 2-a long time. In this movie, I share some of the factors I have to remind myself whenever I try and discover some thing new.

One-way links:
ML Self-analyze recommendations (write-up of this online video) — http://little bit.ly/mlselfstudytips
My AI Masters Degree – https://little bit.ly/AIMastersDegree
My favorite AI/ML programs – https://bit.ly/AIMLresources
Datacamp (discovering Python for ML) — http://little bit.ly/datacampmrdbourke
fastai ML training course — http://course18.quickly.ai/ml
Utilized Details Science with Python — http://little bit.ly/courseraDS
Arms-on ML book — https://amzn.to/2GormNb

Connect:
Website – http://bit.ly/mrdbourkeweb
Quora – http://bit.ly/mrdbourkequora
Medium – http://bit.ly/mrdbourkemedium
Twitter – http://bit.ly/mrdbourketwitter
LinkedIn – http://little bit.ly/mrdbourkelinkedin
Email updates: http://little bit.ly/mrdbourkenewsletter

(Visited 2 times, 1 visits today)

You Might Be Interested In

LEAVE YOUR COMMENT

Your email address will not be published.