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resources.txt
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key: bishop
title: Pattern Recognition and Machine Learning
edition_years: 2006
authors: Christopher M. Bishop
url: http://research.microsoft.com/en-us/um/people/cmbishop/prml/
resource_type: textbook
free: 0
level: graduate
description: A textbook for a graduate machine learning course, with a focus on Bayesian methods.
key: gelman
title: Bayesian Data Analysis
edition_years: 1996, 2003, 2013
authors: Andrew Gelman and John B. Carlin and Hal S. Stern and Donald B. Rubin
url: http://www.stat.columbia.edu/~gelman/book/
resource_type: textbook
free: 0
level: graduate
description: A Bayesian statistics textbook with a focus on practical issues.
key: coursera_hinton
title: Coursera: Neural Networks for Machine Learning
authors: Geoffrey E. Hinton
year: 2012
url: https://www.coursera.org/course/neuralnets
resource_type: online lectures
free: 1
requires_signup: 1
level: advanced undergraduate
description: An online course by Geoff Hinton, who invented many of the core ideas behind neural nets and deep learning.
key: barber
title: Bayesian Reasoning and Machine Learning
authors: David Barber
edition_years: 2012
url: http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage
specific_url_base: http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090113.pdf
resource_type: online textbook
free: 1
level: graduate
description: A textbook for a graudate machine learning course.
key: murphy
title: Machine Learning: a Probabilistic Perspective
authors: Kevin P. Murphy
edition_years: 2012
url: http://www.cs.ubc.ca/~murphyk/MLbook/index.html
resource_type: textbook
free: 0
level: graduate
description: A very comprehensive graudate-level machine learning textbook.
key: pgm
title: Probabilistic Graphical Models: Principles and Techniques
authors: Daphne Koller and Nir Friedman
edition_years: 2009
url: http://pgm.stanford.edu/
resource_type: textbook
free: 0
level: graduate
description: A very comprehensive textbook for a graduate-level course on probabilistic AI.
key: esl
title: The Elements of Statistical Learning
authors: Trevor Hastie and Robert Tibshirani and Jerome Friedman
edition_years: 2001, 2009
url: http://www-stat.stanford.edu/~tibs/ElemStatLearn/
specific_url_base: http://www-stat.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf
resource_type: online textbook
free: 1
level: graduate
description: A graudate-level statistical learning textbook with a focus on frequentist methods.
key: cs229
title: Stanford's Machine Learning lecture notes
authors: Andrew Y. Ng
url: http://cs229.stanford.edu/materials.html
specific_url_base: http://cs229.stanford.edu/notes/
resource_type: lecture notes
free: 1
level: advanced undergraduate
description: Lecture notes for Stanford's machine learning course, aimed at graduate and advanced undergraduate students.
key: wikipedia
title: Wikipedia
url: http://www.wikipedia.org/
resource_type: wiki
free: 1
level: reference
key: rice
title: Mathematical Statistics and Data Analysis
authors: John A. Rice
edition_years: ???, 1994, 2006
url: http://www.cengage.com/search/productOverview.do?Ntt=9780534399429&Ntk=P_Isbn13&Ns=P_CopyRight_Year|1&N=+16+4294922455+4294922413+4294966842
resource_type: textbook
free: 0
level: advanced undergraduate
description: An undergraduate statistics textbook.
key: aima
title: Artificial Intelligence: a Modern Approach
authors: Stuart Russell and Peter Norvig
edition_years: 1995, 2002, 2010
url: http://aima.cs.berkeley.edu/
resource_type: textbook
free: 0
level: advanced undergraduate
description: A textbook giving a broad overview of all of AI.
key: mackay
title: Information Theory, Inference, and Learning Algorithms
authors: David MacKay
edition_years: 2003
url: http://www.inference.phy.cam.ac.uk/itprnn/book.html
specific_url_base: http://www.cs.toronto.edu/~mackay/itprnn/ps/
resource_type: online textbook
free: 1
level: graduate
description: A graudate-level textbook on machine learning and information theory.
key: coursera_ng
title: Coursera: Machine Learning
authors: Andrew Y. Ng
year: 2013
url: http://class.coursera.org/ml-003/lecture/
specific_url_base: http://class.coursera.org/ml-003/lecture/
resource_type: online course
free: 1
extra: Click on "Preview" to see the videos.
level: introductory
description: An online machine learning course aimed at a broad audience.
key: khan
title: Khan Academy
url: https://www.khanacademy.org/
resource_type: video tutorials
free: 1
level: introductory
key: wolfram
title: Wolfram MathWorld
url: http://mathworld.wolfram.com
resource_type: online compendium
free: 1
level: reference
key: mathmonk
title: Mathematical Monk Tutorials
url: http://www.youtube.com/user/mathematicalmonk
resource_type: youtube videos
free: 1
key: optmodels
title: Optimization Models and Applications
url: https://inst.eecs.berkeley.edu/~ee127a/book/login/index.html
resource_type: online textbook
free: 1
level: advanced undergraduate
key: griffiths_ibp
title: The Indian Buffet Process: An Introduction and Review
authors: Thomas L. Griffiths and Zoubin Ghahramani
year: 2011
url: http://mlg.eng.cam.ac.uk/pub/pdf/GriGha11.pdf
resource_type: paper
free: 1
level: expert
key: coursera_koller
title: Coursera: Probabilistic Graphical Models
authors: Daphne Koller
year: 2013
url: https://class.coursera.org/pgm/lecture/preview
specific_url_base: https://class.coursera.org/pgm/lecture/
resource_type: online lectures
free: 1
extra: Click on "Preview" to see the videos.
level: advanced undergraduate
description: An online course on probabilistic graphical models.
key: wainwright_jordan_tutorial
authors: Martin J. Wainwright and Michael I. Jordan
title: Graphical models, exponential families, and variational inference
year: 2008
resource_type: paper
free: 1
url: http://www.eecs.berkeley.edu/~wainwrig/Papers/WaiJor08_FTML.pdf
specific_url_base: http://www.eecs.berkeley.edu/~wainwrig/Papers/WaiJor08_FTML.pdf
level: expert
description: An in-depth review of exact and approximate inference methods for graphical models.
key: gpml
title: Gaussian Processes for Machine Learning
authors: Carl E. Rasmussen and Christopher K. I. Williams
edition_years: 2006
resource_type: textbook
free: 1
url: http://www.gaussianprocess.org/gpml/
specific_url_base: http://www.gaussianprocess.org/gpml/chapters/
level: graduate
description: A graduate-level machine learning textbook focusing on Gaussian processes.
key: motwani_randomized_algorithms
title: Randomized Algorithms
authors: Rajeev Motwani and Prabhakar Raghavan
edition_years: 1995
resource_type: textbook
free: 0
url: http://www.cambridge.org/gb/knowledge/isbn/item1146626/?site_locale=en_GB
level: graduate
description: A graduate-level textbook on randomized algorithms.
key: probabilistic_robotics
title: Probabilistic Robotics
authors: Sebastian Thrun and Wolfram Burgard and Dieter Fox
edition_years: 2005
resource_type: textbook
free: 0
url: http://www.probabilistic-robotics.org/
level: graduate
key: sudderth_thesis
title: Graphical Models for Visual Object Recognition and Tracking
authors: Erik Sudderth
year: 2006
resource_type: thesis
free: 1
url: http://cs.brown.edu/~sudderth/papers/sudderthPhD.pdf
specific_url_base: http://cs.brown.edu/~sudderth/papers/sudderthPhD.pdf
level: expert
description: Erik Sudderth's Ph.D. thesis, which includes readable overviews of a variety of topics.
key: strang
resource_type: textbook
title: Introduction to Linear Algebra
edition_years: ???, 1993, 2003, 2009
authors: Gilbert Strang
free: 0
url: http://math.mit.edu/linearalgebra/
level: introductory
description: An introductory linear algebra textbook with an emphasis on numerical methods.
key: ocw_strang
resource_type: online lectures
title: MIT Open Courseware: Linear Algebra
year: 2011
authors: Gilbert Strang
free: 1
url: http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/
level: introductory
description: Videos for an introductory linear algebra course focusing on numerical methods.
key: khan_academy_linear_algebra
resource_type: online lectures
title: Khan Academy: Linear Algebra
free: 1
url: https://www.khanacademy.org/math/linear-algebra
level: introductory
key: beezer
resource_type: textbook
title: A First Course in Linear Algebra
authors: Robert A. Beezer
year: 2012
free: 1
url: http://linear.ups.edu/
specific_url_base: http://linear.ups.edu/html/
level: advanced undergraduate
description: A linear algebra textbook with proofs.
key: shifrin
resource_type: textbook
title: Multivariable Mathematics
edition_years: 2005
authors: Theodore Shifrin
free: 0
url: http://www.wiley.com/WileyCDA/WileyTitle/productCd-EHEP000815.html
level: advanced undergraduate
description: A textbook on linear algebra and multivariable calculus with proofs.
key: axler
resource_type: textbook
title: Linear Algebra Done Right
edition_years: ???, 2004
authors: Sheldon Axler
free: 0
url: http://linear.axler.net/
level: advanced undergraduate
description: A textbook for a second course in linear algebra, with mathematical generalizations of the basic concepts.
key: khan_academy_algebra
resource_type: online lectures
title: Khan Academy: Algebra
free: 1
url: https://www.khanacademy.org/math/algebra
level: introductory
key: khan_academy_calculus
resource_type: online lectures
title: Khan Academy: Calculus
free: 1
url: https://www.khanacademy.org/math/calculus
level: introductory
key: road_to_reality
resource_type: book
title: The Road to Reality
year: 2007
authors: Roger Penrose
free: 0
url: http://www.amazon.com/The-Road-Reality-Complete-Universe/dp/0679776311
description: An overview of much of mathematical physics.
key: bnp_tutorial_elsevier
resource_type: paper
year: 2012
title: A tutorial on Bayesian nonparametric models
free: 1
url: http://web.mit.edu/sjgershm/www/GershmanBlei12.pdf
level: graduate
key: edwards_penney
resource_type: textbook
title: Multivariable Calculus
edition_years: ???, ???, ???, ???, ???, 2002
authors: C. Henry Edwards and David E. Penney
free: 0
url: http://www.amazon.com/Multivariable-Calculus-Edition-Henry-Edwards/dp/0130339679
level: introductory
description: An introductory multivariable calculus textbook.
key: ocw_auroux
resource_type: online lectures
title: MIT Open Courseware: Multivariable Caclulus
year: 2010
authors: Denis Auroux
free: 1
url: http://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/index.htm
level: introductory
description: Video lectures for MIT's introductory multivariable calculus class.
key: ross
resource_type: textbook
title: A First Course in Probability
authors: Sheldon Ross
edition_years: ???, 1984, 1988, 1994, 1997, 2001, 2005, 2011, 2012
free: 0
url: http://www.amazon.com/First-Course-Probability-8th-Edition/dp/013603313X
level: introductory
description: An introductory probability textbook.
key: feller
resource_type: textbook
title: An Introduction to Probability Theory and its Applications
authors: William Feller
edition_years: 1950, 1957, 1968
free: 0
url: http://www.amazon.com/Introduction-Probability-Theory-Applications-Edition/dp/0471257087
level: advanced undergraduate
description: A classic introductory probability textbook.
key: degroot
resource_type: textbook
title: Probability and Statistics
free: 0
edition_years: ???, 1986, 2002, 2011
authors: Morris H. DeGroot and Mark J. Schervish
url: http://www.amazon.com/Probability-Statistics-Edition-Morris-DeGroot/dp/0321500466
level: advanced undergraduate
description: An introductory textbook on probability theory and statistics.
key: khan_academy_probability
resource_type: online lectures
title: Khan Academy: Probability and Statistics
free: 1
url: https://www.khanacademy.org/math/probability
level: introductory
key: bamberg
resource_type: online lectures
title: Sets, Counting, and Probability
free: 1
url: http://www.extension.harvard.edu/open-learning-initiative/sets-counting-probability
level: introductory
description: Online lectures on basic probability theory.
key: edx_probability
resource_type: online lectures
title: BerkeleyX: Introduction to Statistics: Probability
free: 1
requires_signup: 1
url: https://courses.edx.org/courses/BerkeleyX/Stat2.2x/2013_April/courseware
level: introductory
description: An online course on basic probability.
key: teh_bnp_mlss
resource_type: video lecture
title: Nonparametric Bayesian Models
year: 2009
free: 1
url: http://videolectures.net/mlss09uk_teh_nbm/
authors: Yee Whye Teh
key: jordan_crm
resource_type: survey paper
title: Hierarchical Models, Nested Models and Completely Random Measures
year: 2010
free: 1
url:http://www.cs.berkeley.edu/~jordan/papers/berger-festschrift.pdf
authors: Michael I. Jordan
level: graduate
key: thibaux_tech_talk
resource_type: video lecture
title: Levy Processes and Applications to Machine Learning
free: 1
year: 2008
url: http://www.youtube.com/watch?v=SIOYjfVEEFk
authors: Romain Thibaux
description: Video lecture
key: boas_mm
resource_type: textbook
title: Mathematical Methods in the Physical Sciences
edition_years: ???, 1983, 2005
free: 0
url: http://www.amazon.com/Mathematical-Methods-Physical-Sciences-Mary/dp/0471198269
authors: Mary Boas
level: introductory
key: mathmonk_probability
resource_type: online lectures
title: Mathematical Monk: Probability Primer
free: 1
year: 2011
url: http://www.youtube.com/playlist?list=PL17567A1A3F5DB5E4
level: advanced undergraduate
description: Online videos on probability theory.
key: mathmonk_ml
resource_type: online lectures
title: Mathematical Monk: Machine Learning
free: 1
year: 2011
url: http://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA
level: advanced undergraduate
description: Online videos on machine learning.
key: ywt_bnp_mlss
resource_type: video lecture
title: Bayesian Nonparametrics
year: 2011
free: 1
authors: Yee Whye Teh
url: http://videolectures.net/mlss2011_teh_nonparametrics/
key: bnp_lecture_notes_597c
resource_type: lecture notes
authors: Min Sun and Mike Wawrzoniak
year: 2007
url: http://www.cs.princeton.edu/courses/archive/fall07/cos597C/scribe/20071105.pdf
title: Princeton BNP Class: Lecture Notes 7
free: 1
level: graduate
key: posada_model
title: Model Selection and Model Averaging in Phylogenetics: Advantages of Akaike Information Criterion and Bayesian Approaches Over Likelihood Ratio Tests
resource_type: paper
authors: David Posada and Thomas Buckley
year: 2004
free: 1
url: http://xyala2.bio.ed.ac.uk/teaching/tutorials/phylogenetics/Bayesian_Workshop/PDFs/Posada%20and%20Buckley%20Syst%20Biol%202004.pdf
key: boyd_convex_optimization
title: Convex Optimization
authors: Stephen Boyd and Lieven Vandenberghe
edition_years: 2004
resource_type: textbook
free: 1
url: http://www.stanford.edu/~boyd/cvxbook/
specific_url_base: http://www.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf
level: graduate
description: A graduate-level textbook on convex optimization.
key: princeton_companion
title: The Princeton Companion to Mathematics
authors: Timothy Gowers and June Barrow-Green and Imre Leader
resource_type: reference
year: 2008
free: 0
url: http://press.princeton.edu/titles/8350.html
level: reference
description: A surprisingly readable and comprehensive reference on the major topics in pure math.
key: intro_ir
title: Introduction to Information Retrieval
authors: Christopher D. Manning and Prabhakar Raghavan and Hinrich Schütze
edition_years: 2008
resource_type: online textbook
free: 1
url: http://nlp.stanford.edu/IR-book/html/htmledition/irbook.html
level: undergraduate
description: A textbook on information retrieval techniques.
key: coursera_domingos
title: Coursera: Machine Learning
authors: Pedro Domingos
resource_type: online lectures
free: 1
specific_url_base: https://class.coursera.org/machlearning-001/lecture/
url: https://class.coursera.org/machlearning-001/lecture/preview
level: advanced undergraduate
extra: Click on "Preview" to see the videos.
description: An online machine learning course aimed at advanced undergraduates.
key: kearns_and_vazirani
title: An Introduction to Computational Learning Theory
authors: Michael J. Kearns and Umesh V. Vazirani
year: 1994
resource_type: textbook
free: 0
url: http://mitpress.mit.edu/books/introduction-computational-learning-theory
level: graduate
description: A graduate level textbook on computational learning theory.
key: mlss_murray
title: Machine learning summer school: Markov chain Monte Carlo
authors: Iain Murray
year: 2009
url: http://videolectures.net/mlss09uk_murray_mcmc/
resource_type: video lecture
free: 1
level: graduate
description: A video tutorial on MCMC methods.
key: cover_and_thomas
title: Elements of Information Theory
authors: Thomas M. Cover and Joy A. Thomas
edition_years: 1991, 2006
url: http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471241954.html
resource_type: textbook
free: 0
level: graduate
description: A graduate level textbook on information theory.
key: mackay_lectures
title: Course on Information Theory, Pattern Recognition, and Neural Networks
authors: David MacKay
url: http://videolectures.net/course_information_theory_pattern_recognition/
resource_type: video lecture
free: 1
level: graduate
description: Video lectures on machine learning and information theory.
key: blei_lda
title: Latent Dirichlet Allocation
free: 1
year: 2003
url: http://www.cs.princeton.edu/~blei/papers/BleiNgJordan2003.pdf
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specific_url_base: http://www.cs.princeton.edu/~blei/papers/BleiNgJordan2003.pdf
description: The research paper that introduced latent Dirichlet allocation.
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free: 1
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authors: Christian P. Robert and George Casella
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level: graduate
resource_type: textbook
description: A monograph on Monte Carlo methods.
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free: 0
level: graduate
resource_type: textbook
description: A monograph on Monte Carlo methods.
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authors: Christian P. Robert
free: 0
level: graduate
resource_type: textbook
description: A graduate-level textbook on Bayesian statistics.
key: all_of_statistics
title: All of Statistics
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edition_years: 2004
url: http://www.stat.cmu.edu/~larry/all-of-statistics/
free: 0
level: advanced undergraduate
resource_type: textbook
description: A very concise introductory statistics textbook.
key: math_stackexchange
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url: http://math.stackexchange.com/
free: 1
level: reference
resource_type: forum
key: stackoverflow
title: StackOverflow
url: http://stackoverflow.com
free: 1
level: reference
resource_type: forum
key: cs188_berkeley
title: Berkeley Artificial Intelligence CS188
year: 2013
free: 1
url: http://www.youtube.com/user/CS188Spring2013?feature=watch
level: advanced undergraduate
authors: Pieter Abbeel
resource_type: video lectures
key: cs188_edx
title: EdX Artificial Intelligence
free: 1
requires_signup: 1
url: https://www.edx.org/course/uc-berkeleyx/uc-berkeleyx-cs188-1x-artificial-579
level: advanced undergraduate
resource_type: online lectures
authors: Pieter Abbeel and Dan Klein
note: navigate between lecture material using the slider at the top
key: bengio_foundations_and_trends
title: Learning deep architectures for AI
authors: Yoshua Bengio
year: 2009
free: 1
url: http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf
specific_url_base: http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf
level: expert
resource_type: review paper
description: A review paper on deep learning techniques written by one of the leaders in the field.
key: enderton
resource_type: textbook
title: A Mathematical Introduction to Logic
authors: Herbert B. Enderton
edition_years: 1972, 2001
free: 0
url: http://www.amazon.com/Mathematical-Introduction-Logic-Second-Edition/dp/0122384520
description: An undergraduate textbook in mathematical logic, with proofs.
key: coursera_genesereth
resource_type: online course
authors: Michael Genesereth
title: Coursera: Introduction to Logic
year: 2014
url: https://www.coursera.org/course/intrologic
specific_url_base: https://class.coursera.org/intrologic-004/lecture
free: 1
extra: Click on "Preview" to see the videos.
description: An introductory logic course geared towards computer scientists.
key: coursera_renstall_pt1
resource_type: online course
authors: Greg Restall and Jen Davoren
title: Coursera: Logic: Language and Information
year: 2014
url: https://class.coursera.org/logic1-001
free: 1
requires_signup: 1
description: An introductory logic course geared towards philosophers.
key: barwise_etchemendy_fol
resource_type: textbook
authors: Jon Barwise and John Etchemendy
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url: http://www.amazon.com/The-Language-First-Order-Logic-IBM-compatible/dp/0937073903
free: 0
description: An undergraduate logic textbook aimed at philosophers, with an educational software package.
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resource_type: textbook
authors: Ronald J. Brachman and Hector J. Levesque
title: Knowledge Representation and Reasoning
edition_years: 2004
url: http://www.amazon.com/Knowledge-Representation-Reasoning-Artificial-Intelligence/dp/1558609326
free: 0
description: An introductory textbook on knowledge representation.
key: hopcroft_motwani_ullman
resource_type: textbook
authors: John E. Hopcroft and Rajeev Motwani and Jeffrey D. Ullman
title: Automata Theory, Languages, and Computation
edition_years: 1979, 2000, 2006
url: http://www.amazon.com/Introduction-Automata-Languages-Computation-Edition/dp/0321455363
free: 0
description: An undergraduate textbook on automata and the theory of computation.
key: sipser
resource_type: textbook
authors: Michael Sipser
title: Introduction to the Theory of Computation
edition_years: 1996, 2005, 2012
url: http://www.amazon.com/Introduction-Theory-Computation-Michael-Sipser/dp/113318779X/
free: 0
description: An undergraduate textbook on automata and the theory of computation.
key: coursera_ullman
resource_type: online course
title: Coursera: Automata
authors: Jeffrey D. Ullman
free: 1
url: https://class.coursera.org/automata/
description: An introductory course on automata and the theory of computation.
extra: Click on "Preview" to see the lecture videos.
key: mit_16_070
resource_type: lecture notes
title: MIT 16.070: Introduction to Computers and Programming
authors: Kristina Lundqvist
free: 1
url: http://web.mit.edu/16.070/www/
description: Lecture notes for an introductory computer science course
key: stanford_cs103_notes
resource_type: lecture notes
title: Stanford CS103: Mathematical Foundations of Computing
authors: Keith Schwarz
free: 1
year: 2013
url: http://www.stanford.edu/class/cs103/keith.pdf
specific_url_base: http://www.stanford.edu/class/cs103/keith.pdf
description: Lecture notes for Stanford's introductory computer science theory course.
key: enderton_set_theory
resource_type: textbook
title: Elements of Set Theory
authors: Herbert B. Enderton
edition_years: 1977
free: 0
url: http://www.amazon.com/Elements-Set-Theory-Herbert-Enderton/dp/0122384407
description: An introductory textbook on axiomatic set theory.
key: rudin_mathematical_analysis
resource_type: textbook
title: Principles of Mathematical Analysis
authors: Walter Rudin
edition_years: 1953, 1964, 1976
free: 0
url: http://www.amazon.com/Principles-Mathematical-Analysis-International-Mathematics/dp/007054235X
description: A classical undergraduate analysis textbook.
key: cohn_set_theory
resource_type: lecture notes
title: Notes on Set Theory
authors: Henry Cohn
year: 2013
free: 1
url: http://research.microsoft.com/en-us/um/people/cohn/Courses/18.510F13/settheory.pdf
specific_url_base: http://research.microsoft.com/en-us/um/people/cohn/Courses/18.510F13/settheory.pdf
description: Lecture notes for a course on axiomatic set theory.
key: cohn_logic
resource_type: lecture notes
title: Notes on Logic
authors: Henry Cohn
year: 2013
free: 1
url: http://research.microsoft.com/en-us/um/people/cohn/Courses/18.510F13/logic.pdf
specific_url_base: http://research.microsoft.com/en-us/um/people/cohn/Courses/18.510F13/logic.pdf
description: Lecture notes for a course on first order logic.
key: weiss_set_theory
resource_type: lecture notes
title: An Introduction to Set Theory
authors: William A. R. Weiss
year: 2008
free: 1
url: http://www.math.toronto.edu/weiss/set_theory.pdf
specific_url_base: http://www.math.toronto.edu/weiss/set_theory.pdf
description: Lecture notes on axiomatic set theory.
key: bell_machover
resource_type: textbook
title: A Course in Mathematical Logic
authors: J. L. Bell and M. Machover
edition_years: 1977
free: 0
url: http://www.amazon.com/A-Course-In-Mathematical-Logic/dp/0720428440/
description: A graduate textbook in mathematical logic.
key: stanford_encyclopedia_of_philosophy
resource_type: reference
title: Stanford Encyclopedia of Philosophy
free: 1
url: http://plato.stanford.edu/index.html
description: A philosophy reference.