During the latest part of my career I had a chance to work with Data Scientists having strong skills in Python. My tech background, after a start with C/C++, is in JVM programming languages mostly (but I had to touch several others during my career), so it was a great chance for me to learn more about practical Python, at least in the Machine Learning and Deep Learning spaces. I am no more a full time developer since few years, as I moved to other roles, but this didn't stop me following my passion for programming languages and staying hands-on with technology in general, not only because I enjoy it, but also because I believe whatever your role is, it is always important to understand the possibilities and the limits of technologies before making any kind of decision. In this new long series I am going first to share some of the things I have learned about doing time series forecasting through Deep Learning using Python (with Keras and Tensorflow ), and finally I will pres...
Sharing thoughts and tips on Python, Java, Scala, Open Source, DevOps, Data Science, ML/DL/AI.