[IMG] Quantitative Trading How to Build Your Own Algorithmic Trading Business (Wiley Trading) (Chan, Ernest P.) 256 pages
[IMG] Python Machine Learning Projects Learn how to build Machine Learning projects from scratch (Deepali R. Vora, Gresha S. Bhatia) 302 pages
[IMG] Python in a Nutshell, 4th Edition (Alex Martelli, Anna Martelli Ravenscroft etc.) 1078 pages
[IMG] Programming Skills for Data Science Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition (Michael Freeman...
[ATTACH] Programming Machine Learning. Machine Learning Basics Concepts (Panchtilak, K.) 589 pages
[IMG] Probabilistic Machine Learning for Finance and Investing A Primer to Generative AI with Python (Fifth Early Release) (Deepak Kanungo) 351...
[IMG] Pro Machine Learning Algorithms A HandsOn Approach to Implementing Algorithms in Python and R (V Kishore Ayyadevara) 386 pages
[IMG] Predictive Analytics The Power to Predict Who Will Click, Buy, Lie, or Die (Eric Siegel, Thomas H. Davenport (Foreword)) 338 pages
[IMG] Pragmatic AI An Introduction to CloudBased Machine Learning (Noah Gift) 272 pages
[ATTACH] Practicing Trustworthy Machine Learning Consistent, Transparent, and Fair AI Pipelines (Yada Pruksachatkun, Matthew McAteer etc.) 303 pages
[IMG] Practical Data Analytics for Innovation in Medicine Building Real Predictive and Prescriptive Models in Personalized... (Gary D. Miner,...
[IMG] Playing Smart On Games, Intelligence, and Artificial Intelligence (Julian Togelius) 188 pages
[IMG] Pattern Recognition (Sergios Theodoridis, Konstantinos Koutroumbas) 710 pages
[IMG] Pattern Recognition 829 pages
[IMG] Noise A Flaw in Human Judgment (Cass R. Sunstein,Olivier Sibony, Daniel Kahneman, etc.) 405 pages
[ATTACH] Mining of Massive Datasets (Third Edition) (Jure Leskovec, Anand Rajaraman etc.) 603 pages
[IMG] Mining of Massive Datasets (Jure Leskovec, Anand Rajaraman etc.) 609 pages
[IMG] Mining Complex Networks (Bogumil Kaminski, Pawel Pralat etc.) 278 pages
[IMG] Concise Encyclopedia of Science and Technology 5 ed. (McGrawHill) 2661 pages
[IMG] Mathematical Modeling the Life Sciences Numerical Recipes in Python and MATLAB® (N. G. Cogan) 246 pages
Separate names with a comma.
