Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics

Probability for Statistics and Machine L

📁 Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics

✍ Anirban DasGupta (auth.) 📂 Library 📅 2011 🏛 Springer-Verlag New York 🌐 English

This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions a

Probability for Statistics and Machine L

📁 Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics

✍ Anirban DasGupta (auth.) 📂 Library 📅 2011 🏛 Springer-Verlag New York 🌐 English

This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions a

Probability for Statistics and Machine L

📁 Probability for Statistics and Machine Learning

✍ Anirban DasGupta 📂 Library 📅 2011 🏛 Springer 🌐 English

This accessible book provides a versatile treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It contains many worked out examples and exercises.

Python for Probability, Statistics, and

📁 Python for Probability, Statistics, and Machine Learning

✍ José Unpingco 📂 Library 📅 2016 🏛 Springer 🌐 English

This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions i

Python for Probability, Statistics, and

📁 Python for Probability, Statistics, and Machine Learning

✍ José Unpingco 📂 Library 📅 2022 🏛 Springer 🌐 English

Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand

Python for Probability, Statistics, and

📁 Python for Probability, Statistics, and Machine Learning

✍ José Unpingco (auth.) 📂 Library 📅 2016 🏛 Springer International Publishing 🌐 English

This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notebooks, which ar

Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics

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