Issue #88
January 31, 2021
Our very first Data Science Book is " Deep Learning with Python " by François Chollet. Deep Learning is conceptual framework responsible for most recent successes in Machine Learning and Artificial Intelligence. Unfortunately, it is not the easiest field to come to grips with. In this book, and in great part thanks to the modular structure of Keras, Chollet, a Google Engineer and brains behind Keras, manages to maintain the perfect balance between breath and depth. The book provides plenty of practical real world examples to explore the concepts as they are introduced and to provide the conceptual basis allowing you to quickly and successfully venture further in your own work. I hope you enjoy reading it as much as I did.
- 1. Enabling the future of academic research with the Twitter API [blog.twitter.com]
- 2. Robots got their name 100 years ago today [newatlas.com]
- 3. Smart Algorithm Bursts Social Networks' "Filter Bubbles" [spectrum.ieee.org]
- 4. Plotnine: Grammar of Graphics for Python [datascienceworkshops.com]
- 5. The Map of Mathematics [quantamagazine.org]
- 6. Topology 101: The Hole Truth [quantamagazine.org]
- 7. Algorithmic Trading with Economics Driven Deep Learning [towardsdatascience.com]
- • Economic complexity theory and applications (C. A. Hidalgo)
- • Time-evolving controllability of effective connectivity networks during seizure progression (B. H. Scheid, A. Ashourvan, J. Stiso, K. A. Davis, F. Mikhail, F. Pasqualetti, B. Litt, D. S. Bassett)
- • Personal experiences bridge moral and political divides better than facts (E. Kubin, C. Puryear, C. Schein, K.Gray)
- • Applications of Deep Neural Networks (J. Heaton)
- • Detecting Hidden Layers from Spreading Dynamics on Complex Networks (Ł. G. Gajewski, J. Chołoniewski, M. Wilinski)
- • Implementations in Machine Ethics: A Survey (S. Tolmeijer, M. Kneer, C. Sarasua, M. Christen, A. Bernstein)
- • On Small-World Networks: Survey and Properties Analysis (A. E. Alchalabi)
- • Activation Functions in Artificial Neural Networks: A Systematic Overview (J. Lederer)
- • Super-Spreaders Out, Super-Spreading In: The Effects of Infectiousness Heterogeneity and Lockdowns on Herd Immunity (J. Tavori, H. Levy)
GloVe Vectors Embedding with TF 2.0 and Keras
All our videos are also available in our YouTube playlist.
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