Books.json

{
    "books": [ 
        {
            "title": "Deep Learning",
            "front_page": "https://mit-press-us.imgix.net/covers/9780262035613.jpg",
            "author": "Ian Goodfellow, Yoshua Bengio and Aaron Courville",
            "edition": null,
            "publisher": "MIT Press",
            "year": "2016",
            "URL": "https://www.deeplearningbook.org"
        },
        {
            "title": "Dive into Deep Learning",
            "front_page": "https://d2l.ai/_images/front.png",
            "author": "Aston Zhang, Zachary C. Lipton, Mu Li and Alexander J. Smola",
            "edition": null,
            "publisher": null,
            "year": "2021",
            "URL": "https://d2l.ai"
        },
        {
            "title": "High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications",
            "front_page": "https://book-wright-ma.github.io/book-cover.jpg",
            "author": "John Wright and Yi Ma",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2022",
            "URL": "https://book-wright-ma.github.io"
        },
        {
            "title": "Machine Learning Yearning",
            "front_page": null,
            "author": "Andrew Ng",
            "edition": null,
            "publisher": null,
            "year": "2018",
            "URL": "https://www.deeplearning.ai/programs"
        },
        {
            "title": "A Brief Introduction to Neural Networks",
            "front_page": null,
            "author": "David Kriesel",
            "edition": null,
            "publisher": null,
            "year": "2007",
            "URL": "http://www.dkriesel.com/en/science/neural_networks"
        },
        {
            "title": "An Introduction to Statistical Learning",
            "front_page": "https://media.springernature.com/w306/springer-static/cover-hires/book/978-1-0716-1418-1",
            "author": "Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani",
            "edition": "2",
            "publisher": "Springer",
            "year": "2021",
            "URL": "https://www.statlearning.com"
        },
        {
            "title": "Speech and Language Processing",
            "front_page": null,
            "author": "Dan Jurafsky and James H. Martin",
            "edition": "3",
            "publisher": null,
            "year": "2022",
            "URL": "https://web.stanford.edu/~jurafsky/slp3"
        },
        {
            "title": "Reinforcement Learning: An Introduction",
            "front_page": "https://mit-press-us.imgix.net/covers/9780262039246.jpg",
            "author": "Richard S. Sutton and Andrew G. Barto",
            "edition": "2",
            "publisher": "MIT Press",
            "year": "2018",
            "URL": "http://incompleteideas.net/book/the-book.html"
        },
        {
            "title": "Probabilistic Machine Learning: An Introduction",
            "front_page": "https://probml.github.io/pml-book/cover1.jpg",
            "author": "Kevin P. Murphy",
            "edition": null,
            "publisher": "MIT Press",
            "year": "2022",
            "URL": "https://probml.github.io/pml-book/book1.html"
        },
        {
            "title": "Statistical Learning with Sparsity: The Lasso and Generalizations",
            "front_page": "https://hastie.su.domains/StatLearnSparsity/images/sls.jpg",
            "author": "Trevor Hastie, Robert Tibshirani and Martin Wainwright",
            "edition": null,
            "publisher": "Routledge",
            "year": "2015",
            "URL": "https://hastie.su.domains/StatLearnSparsity"
        },
        {
            "title": "Statistical inference for data science",
            "front_page": "https://d2sofvawe08yqg.cloudfront.net/LittleInferenceBook/s_hero2x?1620441866",
            "author": "Brian Caffo",
            "edition": null,
            "publisher": "leanpub",
            "year": "2015",
            "URL": "https://leanpub.com/LittleInferenceBook"
        },
        {
            "title": "Computer Vision: Algorithms and Applications",
            "front_page": "http://szeliski.org/Book/imgs/Szeliski2ndBookFrontCover.png",
            "author": "Richard Szeliski",
            "edition": "2",
            "publisher": "Springer",
            "year": "2021",
            "URL": "http://szeliski.org/Book/"
        },
        {
            "title": "Information Theory, Inference, and Learning Algorithms",
            "front_page": "https://assets.cambridge.org/97805216/42989/cover/9780521642989.jpg",
            "author": "David MacKay",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2003",
            "URL": "https://www.inference.org.uk/itprnn/book.pdf"
        },
        {
            "title": "Think Bayes",
            "front_page": "https://greenteapress.com/wp/wp-content/uploads/2021/04/think_bayes_2e_cover_medium.jpg",
            "author": "Allen B. Downey",
            "edition": "2",
            "publisher": "O'REILLY",
            "year": "2021",
            "URL": "https://greenteapress.com/wp/think-bayes"
        },
        {
            "title": "Think Stats",
            "front_page": "http://greenteapress.com/thinkstats2/thinkstats2cover.jpg",
            "author": "Allen B. Downey",
            "edition": "2",
            "publisher": "O'REILLY",
            "year": "2014",
            "URL": "https://greenteapress.com/wp/think-stats-2e/"
        },
        {
            "title": "Machine Learning and Big Data",
            "front_page": null,
            "author": "Kareem Alkaseer",
            "edition": null,
            "publisher": null,
            "year": "2021",
            "URL": "http://www.kareemalkaseer.com/books/ml/"
        },
        {
            "title": "Python Data Science Handbook",
            "front_page": "https://github.com/jakevdp/PythonDataScienceHandbook/raw/master/notebooks/figures/PDSH-cover.png",
            "author": "Jake VanderPlas",
            "edition": null,
            "publisher": "O'REILLY",
            "year": "2016",
            "URL": "https://github.com/jakevdp/PythonDataScienceHandbook"
        },
        {
            "title": "Neural Networks and Deep Learning",
            "front_page": null,
            "author": "Michael Nielsen",
            "edition": null,
            "publisher": "Determination Press",
            "year": "2015",
            "URL": "http://neuralnetworksanddeeplearning.com/"
        },
        {
            "title": "Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit",
            "front_page": "https://learning.oreilly.com/library/cover/9780596803346/250w/",
            "author": "Steven Bird, Ewan Klein, and Edward Loper",
            "edition": null,
            "publisher": "O'REILLY",
            "year": "2009",
            "URL": "https://www.nltk.org/book/"
        },
        {
            "title": "Linear Algebra",
            "front_page": "https://hefferon.net/linearalgebra/cover.png",
            "author": "Jim Hefferon",
            "edition": "4",
            "publisher": "leanpub",
            "year": "2020",
            "URL": "https://hefferon.net/linearalgebra/index.html"
        },
        {
            "title": "Theory of Computation",
            "front_page": "https://hefferon.net/computation/cover.png",
            "author": "Jim Hefferon",
            "edition": null,
            "publisher": null,
            "year": "2021",
            "URL": "https://joshua.smcvt.edu/computation/book.pdf"
        },
        {
            "title": "Convex Optimization",
            "front_page": "https://stanford.edu/~boyd/cvxbook/bv_cvxbook_cover.jpg",
            "author": "Stephen Boyd and Lieven Vandenberghe",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2009",
            "URL": "https://stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf"
        },
        {
            "title": "Pattern Recognition and Machine Learning",
            "front_page": "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/Springer-Cover-Image-752x1024.jpg",
            "author": "Christopher Bishop",
            "edition": null,
            "publisher": "Springer",
            "year": "2006",
            "URL": "https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf"
        },
        {
            "title": "Understanding Machine Learning: From Theory to Algorithms",
            "front_page": "https://www.cs.huji.ac.il/w~shais/UnderstandingMachineLearning/images/UnderstandingMachineLearning.jpg",
            "author": "Shai Shalev-Shwartz and Shai Ben-David",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2014",
            "URL": "https://www.cs.huji.ac.il/w~shais/UnderstandingMachineLearning/index.html"
        },
        {
            "title": "Foundations of Machine Learning",
            "front_page": "http://www.cs.nyu.edu/~mohri/mlbook/10290_pptd.jpg",
            "author": "Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar",
            "edition": "2",
            "publisher": "MIT Press",
            "year": "2018",
            "URL": "https://cs.nyu.edu/~mohri/mlbook"
        },
        {
            "title": "Automated Machine Learning",
            "front_page": "https://media.springernature.com/w306/springer-static/cover-hires/book/978-3-030-05318-5",
            "author": "Frank Hutter, Lars Kotthoff and Joaquin Vanschoren",
            "edition": null,
            "publisher": "Springer",
            "year": "2019",
            "URL": "https://www.automl.org/book/"
        },
        {
            "title": "Model-based Machine Learning",
            "front_page": null,
            "author": "John Winn, Christopher M. Bishop, Thomas Diethe, John Guiver and Yordan Zaykov",
            "edition": null,
            "publisher": null,
            "year": "2022",
            "URL": "https://mbmlbook.com/"
        },
        {
            "title": "Gaussian Processes for Machine Learning",
            "front_page": "http://www.gaussianprocess.org/gpml/rwcover.gif",
            "author": "Carl Edward Rasmussen and Christopher K. I. Williams",
            "edition": null,
            "publisher": "MIT Press",
            "year": "2006",
            "URL": "http://www.gaussianprocess.org/gpml/"
        },
        {
            "title": "Algorithmic Aspects of Machine Learning",
            "front_page": null,
            "author": "Ankur Moitra",
            "edition": null,
            "publisher": null,
            "year": "2014",
            "URL": "http://people.csail.mit.edu/moitra/docs/bookex.pdf"
        },
        {
            "title": "The Matrix Cookbook",
            "front_page": null,
            "author": "Kaare Brandt Petersen and Michael Syskind Pedersen",
            "edition": null,
            "publisher": null,
            "year": "2012",
            "URL": "https://mit6874.github.io/assets/matrix-cookbook.pdf"
        },
        {
            "title": "Adversarial Robustness - Theory and Practice",
            "front_page": null,
            "author": "Zico Kolter and Aleksander Madry",
            "edition": null,
            "publisher": null,
            "year": "2018",
            "URL": "https://adversarial-ml-tutorial.org"
        },
        {
            "title": "Learning Theory from First Principles",
            "front_page": null,
            "author": "Francis Bach",
            "edition": null,
            "publisher": "MIT Press",
            "year": "2023",
            "URL": "https://www.di.ens.fr/~fbach/ltfp_book.pdf"
        },
        {
            "title": "Introduction to Probability",
            "front_page": "https://images.routledge.com/common/jackets/crclarge/978113836/9781138369917.jpg",
            "author": "Joseph K. Blitzstein and Jessica Hwang",
            "edition": "2",
            "publisher": "Routledge",
            "year": "2019",
            "URL": "http://probabilitybook.net/"
        },
        {
            "title": "Bayesian Reasoning and Machine Learning",
            "front_page": "http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/jacket.gif",
            "author": "David Barber",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2020",
            "URL": "http://www.cs.ucl.ac.uk/staff/d.barber/brml"
        },
        {
            "title": "Introduction to Probability for Data Science",
            "front_page": "https://probability4datascience.com/pix/cover.png",
            "author": "Stanley H. Chan",
            "edition": null,
            "publisher": "Michigan Publishing",
            "year": "2021",
            "URL": "https://probability4datascience.com"
        },
        {
            "title": "Probabilistic Numerics",
            "front_page": "https://www.probabilistic-numerics.org/assets/img/textbooks/ProbabilisticNumercs_cover_small.png",
            "author": "Philipp Hennig, Michael A. Osborne, Hans Kersting",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2022",
            "URL": "https://www.probabilistic-numerics.org/textbooks/"
        },
                
        {
            "title": "Physics-based Deep Learning Book",
            "front_page": "https://physicsbaseddeeplearning.org/_images/logo-xl.jpg",
            "author": "Nils Thuerey, Philipp Holl, Maximilian Mueller, Patrick Schnell, and Felix Trost and Kiwon Um",
            "edition": "0.2",
            "publisher": null,
            "year": "2021",
            "URL": "https://physicsbaseddeeplearning.org"
        },
                
        {
            "title": "Hands-On Data Visualization",
            "front_page": "https://handsondataviz.org/images/0-preface/cover-400wide.jpg",
            "author": "Jack Dougherty and Ilya Ilyankou",
            "edition": null,
            "publisher": "O'REILLY",
            "year": "2022",
            "URL": "https://handsondataviz.org"
        },
                
        {
            "title": "Fairness and Machine Learning",
            "front_page": null,
            "author": "Solon Barocas, Moritz Hardt, and Arvind Narayanan",
            "edition": null,
            "publisher": null,
            "year": "2019",
            "URL": "https://fairmlbook.org"
        },
                
        {
            "title": "Distributional Reinforcement Learning",
            "front_page": null,
            "author": "Marc G. Bellemare and Will Dabney, and Mark Rowland",
            "edition": null,
            "publisher": "MIT Press",
            "year": "2023",
            "URL": "https://www.distributional-rl.org/"
        },
                
        {
            "title": "The Principles of Deep Learning Theory",
            "front_page": "https://deeplearningtheory.com/images/PDLT-cover.jpg",
            "author": "Daniel A. Roberts, Sho Yaida, and Boris Hanin",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2022",
            "URL": "https://deeplearningtheory.com"
        },
                
        {
            "title": "Algorithms for Decision Making",
            "front_page": "https://mit-press-us.imgix.net/covers/9780262047012.jpg",
            "author": "Mykel J. Kochenderfer, Tim A. Wheeler, and Kyle H. Wray",
            "edition": null,
            "publisher": "MIT Press",
            "year": "2022",
            "URL": "https://algorithmsbook.com"
        },
                
        {
            "title": "Bayes Rules!",
            "front_page": "https://www.bayesrulesbook.com/chapters/figs/index/book_cover.jpeg",
            "author": "Alicia A. Johnson, Miles Q. Ott, and Mine Dogucu",
            "edition": null,
            "publisher": "CRC Press",
            "year": "2021",
            "URL": "https://www.bayesrulesbook.com"
        },
        
        {
            "title": "Large-Scale Convex Optimization",
            "front_page": "https://large-scale-book.mathopt.com/cvx_alg_book.jpg",
            "author": "Ernest K. Ryu, and Wotao Yin",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2022",
            "URL": "https://large-scale-book.mathopt.com"
        },
        
        {
            "title": "Deep Learning on Graphs",
            "front_page": "https://web.njit.edu/~ym329/dlg_book/cover_english.png",
            "author": "Yao Ma, and Jiliang Tang",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2021",
            "URL": "https://web.njit.edu/~ym329/dlg_book"
        },
        
        {
            "title": "Machine Learning - A First Course for Engineers and Scientists",
            "front_page": "http://smlbook.org/cover_small.png",
            "author": "Andreas Lindholm, Niklas Wahlström, Fredrik Lindsten, and Thomas B. Schön",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2022",
            "URL": "http://smlbook.org"
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        {
            "title": "A Course in Machine Learning",
            "front_page": "http://ciml.info/cover-forweb.png",
            "author": "Hal Daumé III",
            "edition": null,
            "publisher": null,
            "year": "2017",
            "URL": "http://ciml.info"
        },
        
        {
            "title": "Data Science at the Command Line",
            "front_page": "https://datascienceatthecommandline.com/2e/images/cover-small.png",
            "author": "Jeroen Janssens",
            "edition": "2",
            "publisher": "O'REILLY",
            "year": "2021",
            "URL": "https://datascienceatthecommandline.com/2e/index.html"
        },
        
        {
            "title": "Deep Learning Interviews",
            "front_page": null,
            "author": "Shlomo Kashani, and Amir Ivry",
            "edition": null,
            "publisher": "Interviews AI",
            "year": "2021",
            "URL": "https://arxiv.org/abs/2201.00650"
        },
        
        {
            "title": "Learning Statistical Models Through Simulation in R",
            "front_page": null,
            "author": "Dale J Barr",
            "edition": null,
            "publisher": null,
            "year": "2021",
            "URL": "https://psyteachr.github.io/stat-models-v1/index.html"
        },
        
        {
            "title": "Introduction to Online Convex Optimization",
            "front_page": "https://mit-press-us.imgix.net/covers/9780262046985.jpg",
            "author": "Elad Hazan",
            "edition": "2",
            "publisher": "MIT Press",
            "year": "2022",
            "URL": "https://sites.google.com/view/intro-oco/home"
        },
        {
            "title": "Reinforcement Learning: Theory and Algorithms",
            "front_page": null,
            "author": "Alekh Agarwal, Nan Jiang, Sham M. Kakade, and Wen Sun",
            "edition": null,
            "publisher": null,
            "year": "2022",
            "URL": "https://rltheorybook.github.io/"
        },
        {
            "title": "Probabilistic Machine Learning: An Introduction",
            "front_page": "https://probml.github.io/pml-book/cover2.jpg",
            "author": "Kevin P. Murphy",
            "edition": null,
            "publisher": "MIT Press",
            "year": "2023",
            "URL": "https://probml.github.io/pml-book/book2.html"
        },
        {
            "title": "Understanding Deep Learning",
            "front_page": null,
            "author": "Simon J.D. Prince",
            "edition": null,
            "publisher": "MIT Press",
            "year": "2023",
            "URL": "https://udlbook.github.io/udlbook/"
        },
        {
            "title": "Mathematics for Machine Learning",
            "front_page": "https://mml-book.github.io/static/images/mml-book-cover.jpg",
            "author": "Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong.",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2020",
            "URL": "https://mml-book.github.io/"
        },
        {
            "title": "Machine Learning",
            "front_page": "http://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/mlbook.gif",
            "author": "Tom Mitchell",
            "edition": null,
            "publisher": "McGraw Hill",
            "year": "1997",
            "URL": "http://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/mlbook.html"
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        {
            "title": "Computer Age Statistical Inference: Algorithms, Evidence and Data Science",
            "front_page": "https://hastie.su.domains/CASI/images/jacket_wave_cropped.jpg",
            "author": "Bradley Efron, and Trevor Hastie",
            "edition": null,
            "publisher": "Cambridge University Press",
            "year": "2016",
            "URL": "https://hastie.su.domains/CASI/"
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    ]
}