The state of Machine Learning
Machine learning is all the rage these days and if your company is not in the conversation, perhaps you want to hear how trivago, BigML, Studio.ML, Udacity, AWS and Skymind put this technology to good use.
Also, if you thought machine learning and DevOps don’t mix well, think again. Last but not least, we recently talked about the importance of ethics education among developers so now it’s time to have the “how to develop ML responsibly” talk with you.
I wish you a happy reading!
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Inside this issue
A basic introduction to machine learning
The rules of machine learning
Stack Overflow survey 2018: ML trends
The state of machine learning in 2018
How to develop ML responsibly
Applying machine learning to DevOps
Does your company have a ML strategy?
Fitting models with AWS AI
Advanced automation features in Studio.ML
Peter Zhokov and Arshak Navruzyan
How ML ist changing the travel industry
Convolutional LSTM for ocean temperature
Why deep learning is an essential tool for devs
Open source and machine learning
Top 5 machine learning libraries for Java
Deep learning for search: using Word2vec
“Code generators are becoming more sophisticated”
Interview with Jay Jay Billings
Diversity talk: “Connect and empower one another”
Interview with Sepideh Nasiri, Founder and CEO of Persian Women In Tech