KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference on AI, Klagenfurt, Austria, September 26-30, 2016, Proceedings

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, Edition 2

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Bayesian Analysis with Python: A practical guide to probabilistic modeling, Edition 3

Machine Learning for Hackers: Case Studies and Algorithms to Get You Started

Forecasting: principles and practice

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications

Forecasting Time Series Data with Facebook Prophet: Build, improve, and optimize time series forecasting models using the advanced forecasting tool

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)

Statistics Hacks: Tips & Tools for Measuring the World and Beating the Odds

Survival Analysis Using SAS: A Practical Guide, Second Edition, Edition 2