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Mastering Probabilistic Graphical Models with Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python Ankur Ankan

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Mastering Probabilistic Graphical Models with Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python Ankur Ankan - okladka książki

Mastering Probabilistic Graphical Models with Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python Ankur Ankan - okladka książki

Mastering Probabilistic Graphical Models with Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python Ankur Ankan - audiobook MP3

Mastering Probabilistic Graphical Models with Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python Ankur Ankan - audiobook CD

Autor:
Ankur Ankan
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Bądź pierwszym, który oceni tę książkę
Stron:
284
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Probabilistic Graphical Models is a technique in machine learning that uses the concepts of graph theory to compactly represent and optimally predict values in our data problems. In real world problems, it's often difficult to select the appropriate graphical model as well as the appropriate inference algorithm, which can make a huge difference in computation time and accuracy. Thus, it is crucial to know the working details of these algorithms.
This book starts with the basics of probability theory and graph theory, then goes on to discuss various models and inference algorithms. All the different types of models are discussed along with code examples to create and modify them, and also to run different inference algorithms on them. There is a complete chapter devoted to the most widely used networks Naive Bayes Model and Hidden Markov Models (HMMs). These models have been thoroughly discussed using real-world examples.

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O autorze książki

Ankur Ankan is a BTech graduate from IIT (BHU), Varanasi. He is currently working in the field of data science. He is an open source enthusiast and his major work includes starting pgmpy with four other members. In his free time, he likes to participate in Kaggle competitions.

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