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Add understanding deep learning book by Simon J.D. Prince #139

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3bb9362
add Julia for DataScience by Jose Storopoli to Data Science folder
dhruvil-1207 Oct 24, 2025
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Add understanding deep Learning By Simon J.D. Prince to Machine Learn…
dhruvil-1207 Oct 24, 2025
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Merge branch 'main' into add-understanding-Deep-Learning-book
dhruvil-1207 Oct 27, 2025
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276 changes: 145 additions & 131 deletions src/data/books.ts
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Expand Up @@ -399,126 +399,140 @@ export const books: Book[] = [
},

// Machine Learning
{
id: "ml-1",
title: "Hands-On Machine Learning",
author: "Aurélien Géron",
category: "Machine Learning",
language: "Python",
pages: 856,
year: 2022,
description: "Practical guide to ML with Scikit-Learn, Keras, and TensorFlow.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Intermediate",
tags: ["Machine Learning", "Python", "TensorFlow", "Scikit-Learn"],
featured: true
},
{
id: "ml-2",
title: "Pattern Recognition and Machine Learning",
author: "Christopher Bishop",
category: "Machine Learning",
language: "General",
pages: 738,
year: 2006,
description: "Comprehensive introduction to the fields of pattern recognition and machine learning.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Advanced",
tags: ["Machine Learning", "Pattern Recognition", "Theory"]
},
{
id: "ml-3",
title: "Deep Learning",
author: "Ian Goodfellow, Yoshua Bengio, Aaron Courville",
category: "Machine Learning",
language: "General",
pages: 801,
year: 2016,
description: "Deep Learning is one of the most widely recognized and authoritative books covering modern deep learning theory, algorithms, and applications.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Advanced",
tags: ["Deep Learning", "Neural Networks", "AI"]
},
{
id: "ml-4",
title: "Machine Learning",
author: "Saikat Dutt, Subramanian Chandramouli, Amit Kumar Das",
category: "Machine Learning",
language: "General",
pages: 741,
year: 2016,
description: "The Beginner textbook on Machine Learning from Pearson.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Beginner",
tags: ["Machine Learning", "ML", "DS"]
},
{
id: "ml-5",
title: "Mathematics for Machine Learning",
author: "Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong",
category: "Machine Learning",
language: "General",
pages: 417,
year: 2020,
level: "All Levels",
description: "the foundational tools and concepts of mathematics needed to understand and develop machine learning algorithms",
downloadLink: "https://github.com/avinash201199/Free-programming-books/blob/main/Machine%20Learning/mathematics%20for%20ml.pdf",
tags: ["MachineLearning", "Mathematics", "Optimization", "MLAlgorithms"],
featured: true
},
{
id: "ml-6",
title: "The Little Book of Deep Learning",
author: "François Fleuret",
category: "Machine Learning",
language: "General",
pages: 129,
year: 2023,
level: "Intermediate",
description: "A concise and practical introduction to deep learning, covering fundamental concepts, architectures, and techniques in a clear and accessible manner for practitioners and students.",
downloadLink: "https://fleuret.org/public/lbdl.pdf",
tags: ["DeepLearning", "NeuralNetworks", "MachineLearning", "AI", "Practical"],
featured: true
},
{
id: "ml-7",
title: "Neural Networks",
author: "Simon Haykin",
category: "Machine Learning",
language: "General",
pages: 823,
year: 2005,
description: "Neural Networks: A Comprehensive Foundation is a complete guide to understanding, designing, and applying neural networks in theory and practice.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Advanced",
tags: ["Deep Learning", "Neural Networks", "AI"]
},
{
id: "ml-8",
title: "Neural Network Design",
author: "Martin T. Hagan",
category: "Machine Learning",
language: "General",
pages: 1012,
year: 1995,
description: "Neural Network Design by Martin T. Hagan is a practical guide to designing, training, and implementing neural networks for real-world applications.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Advanced",
tags: ["Deep Learning", "Neural Networks", "AI"]
},
{
id: "ml-9",
title: "Natural Language Processing with Python",
author: "Steven Bird, Ewan Klein, Edward Loper",
category: "Machine Learning",
language: "Python",
pages: 504,
year: 2009,
description: "Analyzing text with the Natural Language Toolkit. Covers text processing, classification, and information extraction.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Beginner",
tags: ["NLP", "Python", "NLTK", "Text Processing"]
},
{
id: "ml-1",
title: "Hands-On Machine Learning",
author: "Aurélien Géron",
category: "Machine Learning",
language: "Python",
pages: 856,
year: 2022,
description: "Practical guide to ML with Scikit-Learn, Keras, and TensorFlow.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Intermediate",
tags: ["Machine Learning", "Python", "TensorFlow", "Scikit-Learn"],
featured: true
},
{
id: "ml-2",
title: "Pattern Recognition and Machine Learning",
author: "Christopher Bishop",
category: "Machine Learning",
language: "General",
pages: 738,
year: 2006,
description: "Comprehensive introduction to the fields of pattern recognition and machine learning.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Advanced",
tags: ["Machine Learning", "Pattern Recognition", "Theory"]
},
{
id: "ml-3",
title: "Deep Learning",
author: "Ian Goodfellow, Yoshua Bengio, Aaron Courville",
category: "Machine Learning",
language: "General",
pages: 801,
year: 2016,
description: "Deep Learning is one of the most widely recognized and authoritative books covering modern deep learning theory, algorithms, and applications.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Advanced",
tags: ["Deep Learning", "Neural Networks", "AI"]
},
{
id: "ml-4",
title: "Machine Learning",
author: "Saikat Dutt, Subramanian Chandramouli, Amit Kumar Das",
category: "Machine Learning",
language: "General",
pages: 741,
year: 2016,
description: "The Beginner textbook on Machine Learning from Pearson.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Beginner",
tags: ["Machine Learning", "ML", "DS"]
},
{
id: "ml-5",
title: "Mathematics for Machine Learning",
author: "Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong",
category: "Machine Learning",
language: "General",
pages: 417,
year: 2020,
level: "All Levels",
description: "the foundational tools and concepts of mathematics needed to understand and develop machine learning algorithms",
downloadLink: "https://github.com/avinash201199/Free-programming-books/blob/main/Machine%20Learning/mathematics%20for%20ml.pdf",
tags: ["MachineLearning", "Mathematics", "Optimization", "MLAlgorithms"],
featured: true
},
{
id: "ml-6",
title: "The Little Book of Deep Learning",
author: "François Fleuret",
category: "Machine Learning",
language: "General",
pages: 129,
year: 2023,
level: "Intermediate",
description: "A concise and practical introduction to deep learning, covering fundamental concepts, architectures, and techniques in a clear and accessible manner for practitioners and students.",
downloadLink: "https://fleuret.org/public/lbdl.pdf",
tags: ["DeepLearning", "NeuralNetworks", "MachineLearning", "AI", "Practical"],
featured: true
},
{
id: "ml-7",
title: "Neural Networks",
author: "Simon Haykin",
category: "Machine Learning",
language: "General",
pages: 823,
year: 2005,
description: "Neural Networks: A Comprehensive Foundation is a complete guide to understanding, designing, and applying neural networks in theory and practice.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Advanced",
tags: ["Deep Learning", "Neural Networks", "AI"]
},
{
id: "ml-8",
title: "Neural Network Design",
author: "Martin T. Hagan",
category: "Machine Learning",
language: "General",
pages: 1012,
year: 1995,
description: "Neural Network Design by Martin T. Hagan is a practical guide to designing, training, and implementing neural networks for real-world applications.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Advanced",
tags: ["Deep Learning", "Neural Networks", "AI"]
},
{
id: "ml-9",
title: "Natural Language Processing with Python",
author: "Steven Bird, Ewan Klein, Edward Loper",
category: "Machine Learning",
language: "Python",
pages: 504,
year: 2009,
description: "Analyzing text with the Natural Language Toolkit. Covers text processing, classification, and information extraction.",
downloadLink: "https://github.com/avinash201199/Free-programming-books/tree/main/Machine%20Learning",
level: "Beginner",
tags: ["NLP", "Python", "NLTK", "Text Processing"]
},

{
id: "ml-10",
title: "Understanding Deep Learning",
author: "Simon J.D. Prince",
category: "Deep Learning",
language: "English",
year: 2025,
pages: 541,
level: "Advanced",
description: "A comprehensive textbook providing a detailed and mathematically rigorous introduction to the core concepts, models, and algorithms of deep learning.",
downloadLink: "https://udlbook.com/",
tags: ["Deep Learning", "Creative Commons", "Advanced"]
},

// AI Books
{
Expand Down Expand Up @@ -605,17 +619,17 @@ export const books: Book[] = [
},
{
id: "ds-3",
title: "sofware-engineering-9th-edition",
author: "Ian Sommerville",
title: "Julia for Data Science",
category: "Data Science",
language: "General",
pages: 832,
year: 2015,
description: "Comprehensive guide to software engineering principles and practices.",
downloadLink: "https://engineering.futureuniversity.com/BOOKS%20FOR%20IT/Software-Engineering-9th-Edition-by-Ian-Sommerville.pdf",
level: "All Levels",
tags: ["Software Engineering", "Principles", "Practices", "Data Science"]
}
language: "Julia",
pages: 339,
author: "Jose Storopoli",
year: 2016,
level: "Intermediate",
description: "A comprehensive guide to using the Julia programming language for data science, covering data manipulation, visualization, and statistical analysis.",
downloadLink: "https://example.com/julia-data-science-2016.pdf",
tags: ["Julia", "Data Science", "Statistics", "Data Manipulation"],
},

// C Programming
{
Expand Down Expand Up @@ -1015,7 +1029,7 @@ export const languages = [
"HTML/CSS",
"dart",
"General",
"MATLAB"
"Julia"
];

export const levels = ["Beginner", "Intermediate", "Advanced", "All Levels"];