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Effective Machine Learning Teams : Best Practices for ML Practitioners

Dive into deep learning

Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences

Linear algebra for data science, machine learning, and signal processing

Machine learning refined : foundations, algorithms, and applications

Machine learning : a first course for engineers and scientists

Introduction to environmental data science

Data science for the geosciences

Machine learning for computer scientists and data analysts : from an applied perspective

Optimization for data analysis

Inference and learning from dataVolume 2,: Inference

Machine learning fundamentals : a concise introduction

Machine learning : a constraint-based approach

Inference and learning from dataVolume 3,: Learning

Time series for data scientists : data management, description, modeling and forecasting

Applied machine learning

Large-scale data analytics with Python and Spark : a hands-on guide to implementing machine learning solutions

Inference and learning from data

Cognitive sensing technologies and applications

Deep learning in science

Exponential families in theory and practice

Inference and learning from dataVolume 1,: Foundations

Cyber Security Cryptography and Machine Learning : Second International Symposium, CSCML 2018, Beer Sheva, Israel, June 21–22, 2018, Proceedings

Reinforcement learning for sequential decision and optimal control

Regularized System Identification : Learning Dynamic Models from Data

Regression analysis : an intuitive guide for using and interpreting linear models

Introduction to deep learning : from logical calculus to artificial intelligence

Hypothesis Testing : An Intuitive Guide for Making Data Driven Decisions

Computational linguistics and intelligent text processing : 19th International Conference, CICLing 2018, Hanoi, Vietnam, March 18-24, 2018, revised selected papersPart I

Learning with the minimum description length principle

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