Topic 1: Introduction and Linguistics 1470


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The Mathematics of Machine Learning and Deep Learning Sanjeev Arora 2018
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Mathematical Foundations of Data Sciences Gabriel Peyr 2020
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Stochastic Subgradient Method Mert Pilanci 2020
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On to Python... Liang Huang 2016
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Lecture 1: Propositional Logic Edmund M. Clarke, Sagar Chaki, Arie Gurfinkel 2012
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Beyond gradient descent Mathieu Blondel 2020
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Propositional Logic Frank Wolter 2013
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Algorithms for Convex Optimization Nisheeth K. Vishnoi 2020
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Faster Algorithms via Approximation Theory Sushant Sachdeva, Nisheeth K. Vishnoi 2014
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Introduction to Graph Theory Robin J. Wilson 1996
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Regular Expressions Dan Jurafsky, James H. Martin 2020
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Introduction to Theoretical Computer Science Boaz Barak 2020
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Regular Expressions Dan Jurafsky, James H. Martin 2020
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IPython minibook, second edition Cyrille Rossant 2014
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Matrix and Tensor Factorization R Tutorial Dr. Panagiotis Symeonidis 2016
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Exploratory computing with Python Mark Bakker 2014
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Notes on Probability Peter J. Cameron 2014
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Mathematical Foundations of Data Sciences Gabriel Peyre 2018
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LxMLS Lab Guide Day 1 LxMLS 2011 Organizers 2011
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Elementary Linear Algebra Keith Matthews 1991
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Data Science Cheatsheet Maverick Lin 2018
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Additional Exercises for Convex Optimization Stephen Boyd, Lieven Vandenberghe 2017
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Python for Bioinformatics Tiago Antao 2014
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A Short History of Two-Level Morphology Lauri Karttunen, Kenneth R. Beesley 2012
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Linear Algebra Review and Reference Zico Kolter 2015
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LxMLS - Lab Guide Author Unknown 2018
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Mining the Social Web (2nd Edition) Matthew A. Russell 2013
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Gaussian Processes for Machine Learning Rasmussen and Williams 2006
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Advanced Data Analysis from an Elementary Point of View Cosma Rohilla Shalizi 2016
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LxMLS Lab Guide Day 0 LxMLS 2011 Organizers 2011
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ipython-notebooks John Wittenauer 2014
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Morphology Kemal Oflazer 2017
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Linear Algebra, Theory And Applications Kenneth Kuttler 2016
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Convex Optimization ? Boyd and Vandenberghe Stephen Boyd, Lieven Vandenberghe 2014
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Data Science and Big Data with Python Steve Phelps 2016
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Natural language processing: an introduction Prakash M Nadkarni, Lucila Ohno-Machado, Wendy W Chapman 2011
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Gilbert Strang's Calculus lecture notes Gilbert Strang 1991
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Natural Language Processing with Python Steven Bird, Ewan Klein, Edward Loper 2009
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Linear Algebra Ian Goodfellow 2016
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A Guide to Natural Language Processing Gabriele Tomassetti 2017
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Math for Machine Learning Hal Daume III 2009
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A Geometric Theory of Higher-Order Automatic Differentiation Betancourt, Michael 2018
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NLP 2018 Highlights Elvis Saravia 2018
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Python Programming for the Humanities Folgert Karsdorp, Maarten van Gompel 2013
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Introduction to Linguistic Annotation and Text Analytics Graham Wilcock 2009
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What is Linguistics? Nathan Schneider 2019
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Appendix Guy Lebanon 2013
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Parallel Corpora Author Unknown 2017
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The Matrix Cookbook Kaare Brandt Petersen, Michael Syskind Pedersen 2014
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Linear Algebra Jim Hefferon 2017
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Spectral Learning Part I Geoff Gordon 2012
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15 Trending Data Science GitHub Repositories you can not miss in 2017 Sunil Ray 2017
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Introduction to Statistics With Python Thomas Haslwanter, Lukas Borke 2015
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Think Stats: Exploratory Data Analysis in Python Allen B. Downey 2014
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LxMLS Lab Guide Day 5 LxMLS 2011 Organizers 2011
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State-of-the-Art Algorithms for Minimum-Spanning Trees Jason Eisner 1994
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Numerical Python: A Practical Techniques Approach for Industry Robert Johansson 2017
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The Handbook of Computational Linguistics and Natural Language Processing Alexander Clark, Chris Fox, and Shalom Lappin 2010
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Linear algebra explained in four pages Sourav Sen Gupta 2017
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Convex Optimization Overview Zico Kolter 2007
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Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 1 Low-Rank Tensor Decompositions Andrzej Cichocki, Namgil Lee, Ivan Oseledets, Anh-Huy Phan, Qibin Zhao, Danilo P. Mandic 2016
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Basic Definitions Guy Lebanon 2013
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Mathematics for Machine Learning: Linear Algebra Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong 1056
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Auto-WEKA: Automatic model selection and hyperparameter optimization in WEKA Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown 2018
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Jumping NLP Curves: A Review of Natural Language Processing Research Erik Cambria, Bebo White 2014
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An overview of gradient descent optimization algorithms Sebastian Ruder 2017
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Algorithm Design "Jon Kleinberg, Eva Tardos" 2005
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Linear Algebra Done Wrong Sergei Treil 2014
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A Technical Introduction to Statistical Natural Language Processing Jacob Eisenstein 2016
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Statistics is Easy! Dennis Shasha, Manda Wilson 2008
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LxMLS Lab Guide Day 4 LxMLS 2011 Organizers 2011
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Machine Learning Yearning Andrew Ng 2013
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Review of differential calculus theory Guillaume Genthial 2017
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The State of Natural Language Understanding Siva Reddy 2018
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Complexity Bob Carpenter 2012
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Probability Guy Lebanon 2013
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The Why and How of Nonnegative Matrix Factorization Nicolas Gillis 2014
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Hyperparameter Optimization Matthias Feurer, Frank Hutter 2018
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Mathematics and Computation Avi Wigderson 2018
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Spectral Graph Theory and Deep Learning on Graphs Karalias Nikolaos 2017
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Basics of Bayesian Statistics Author Unknown 2003
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Natural Language Processing – Part I: Primer Frank Zhao 2017
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Convex Optimization Slides Stephen Boyd, Lieven Vandenberghe 2017
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Linear Algebra in Twenty Five Lectures Tom Denton, Andrew Waldron 2012
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Regular Expressions, Text Normalization, Edit Distance Daniel Jurafsky, James H. Martin 2017
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Chapter 16 Spectral Graph Theory Daniel Spielman 2017
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Data Mining Tools Deval Shah 2017
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Text Processing Daniel Jurafsky 2017
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Sample Space and Probability Dimitri P. Bertsekas, John N. Tsitsiklis 2008
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Scipy Lecture Notes Christopher Burns, Christophe Combelles, André EspazeEmmanuelle, GouillartMike Müller, Fabian Pedregosa, Didrik Pinte, Nicolas Rougier, Gaël Varoquaux, Pauli Virtanen, Zbigniew J?drzejewski-Szmek, Val 2010
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LxMLS Lab Guide Day 3 LxMLS 2011 Organizers 2011
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Computational Treatment of Multiword Expressions Carlos Ramisch and Aline Villavicencio 1074
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Exercises for Chapter 2: Linear Algebra Ian Goodfellow 2017
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Pandas cookbook Amy Hanlon, Julia Evans, Mateusz Kuzak 2013
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Convex Optimization Stephen Boyd, Lieven Vandenberghe 2017
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Introduction to Probability Charles M. Grinstead, J. Laurie Snell 2018
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YSDA Natural Language Processing course yandexdataschool 2018
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AdaNet tensorflow 2019
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Micha Elsners code Micha Elsner 2012
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TextBlob: Simplified Text Processing Steven Loria 2013
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BoTorch various 2019
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Stochastic Gradient Descent code Leon Bottou 2007
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AllenNLP Matt Gardner, Mark Neumann, Joel Grus, Michael Schmitz 2017
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OpenCCG: The OpenNLP CCG Library Jason Baldridge 2015
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Altair: Declarative Visualization in Python Brian Granger, Jake VanderPlas 2016
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A Programmer's Introduction to Mathematics pim-book 2018
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spaCy: Industrial-strength NLP Matthew Honnibal 2014
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brat rapid annotation tool nlplab.org 2012
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Typescript + Machine Learning + simplicity = Kalimdor.js Jason Shin 2018
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IPython notebooks that implement the R code for the StatLearning: Statistical Learning Sujit Pal 2015
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Manifold learning Scikit-Learn Team 2016
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tSNEJS MIT 2017
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Chapter 12: Data processing and analysis with pandas from Numerical Python Robert Johansson 2017
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missingno ResidentMario 2018
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OpenFst Library Michael Riley 2007
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IPython Cookbook Cyrille Rossant 2013
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PPO2 John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov 2017
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flair Zalando Research 2019
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ScalaNLP David Hall 2017
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Bokeh Sarah Bird,Luke Canavan,Maggie Mari,Mateusz Paprocki,Philipp Rudiger,Claire Tang,Bryan Van de Ven 2017
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Ucto for Python Maarten van Gompel 2014
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PyBrain Justin Bayer, Martin Felder, Thomas Ruckstieb, Tom Schaul, Frank Sehnke, Daan Wierstra 2010
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EasyCCG is a CCG parser Mike Lewis 2014
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Scikit-plot Reiichiro Nakano 2017
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DEAP documentation Author Unknown 2017
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Stanford CoreNLP ? Core natural language software Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky 2014
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Bokeh Sarah Bird, Luke Canavan, Maggie Mari, Mateusz Paprocki, Philipp Rudiger, Claire Tang, Bryan Van de Ven 2012
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Implementation of algorithms in PCFG Zhou Yang 2015
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ReVerb Michael Schmitz, Tony Fader, Niranjan Balasubramanian 2011
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Transfer NLP Peter Martigny 2019
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Natural language Understanding Toolkit Peter Prettenhofer 2010
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PythonForArtificialIntelligence Author Unknown 2016
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Scikit-Learn: A silver bullet for basic machine learning Manikandan Jeeva 2018
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Textacy: Higher-Level NLP built on spaCy Burton DeWilde 2017
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Chapter 5: Equation solving from Numerical Python Book Robert Johansson 2017
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Sounder API Ujjwal Gupta 2017
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Introducing TextBlob Susan Li 2019
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node2vec aditya-grover 2017
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quepy 0.2 Rafael Carrascosa, Gonzalo Garcia Berrotaran 2013
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python-sqlparse - Parse SQL statements Andi Albrecht 2017
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Seaborn: statistical data visualization Michael Waskom 2012
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Mars mars-project 2019
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Python interface to Stanford Core NLP tools v3.4.1 Dustin Smith, Emilio Monti, Justin Cheng 2011
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Deep Graph Library (DGL) dmlc 2019
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Pattern De Smedt, T. & Daelemans, W. 2012
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openNLP Projects openNLP 2017
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KoNLPy: Korean NLP in Python Eunjeong L. Park, Sungzoon Cho 2014
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Stephanie Ujjwal Gupta 2017
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MALLET: MAchine Learning for LanguagE Toolkit Andrew Kachites McCallum 2002
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Official Python interface to CoreNLP using a bidirectional server-client interface. Stanford NLP 2017
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Eigen: C++ template library for linear algebra Author Unknown 2017
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nameparser 0.3.9 Derek Gulbranson 2015
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NLP.js AXA 2018
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NumPy Exercises Kyubyong 2016
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CatBoost: an open-source gradient boosting library exprmntr 2017
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WikiSQL Victor Zhong, Caiming Ziong, Richard Socher 2017
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Pattern CLiPS at University of Antwerp 2017
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Pattern: a web mining module for the Python programming language De Smedt, T. & Daelemans, W. 2012
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Python implementation of algorithms from Russell And Norvig's Artificial Intelligence - A Modern Approach aimacode 2017
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PyText facebookresearch 2019
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PyNLPl - Python Natural Language Processing Library Maarten van Gompel 2010
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Migrating to Python 3 with pleasure Alex Rogozhnikov 2018
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SciKit-Learn Laboratory Dan Blanchard, Nitin Madnani, Michael Heilman, Aoife Cahill, Diane M. Napolitano 2012
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Apache OpenNLP Joern Kottmann, William Daniel Colen de Moura Silva, Suneel Marthi, Rodrigo Agerri 2017
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Python Introduction Luis Pedro Coelho 2018
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Global Neural CCG Parsing with Optimality Guarantees University of Washington NLP 2017
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PyMC: Bayesian Stochastic Modelling in Python Chris Fonnesbeck, Anand Patil, Thomas Kluyver, John Salvatier 2006
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Lesser Known Python Libraries for Data Science Parul Pandey 2018
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Nevergrad: An open source tool for derivative-free optimization Olivier Teytaud, Jeremy Rapin 2018
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Tracking Progress in Natural Language Processing Sebastian Ruder 2018
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goose-extractor 1.0.25 Xavier Grangier 2015
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OpenFst Python Extension Kyle Gorman 2016
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Polyglot Rami Al-Rfou 2016
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Japanese NLP Library Pulkit Kathuria 2012
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mlpy - Machine Learning Python Davide Albanese, Roberto Visintainer, Stefano Merler, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello 2012
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WikiExtractor attardi 2017
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Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development Kevin Stumpf, Stepan Bedratiuk, and Olcay Cirit 2018
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OpenCCG: The OpenNLP CCG Library Jason baldridge 2015
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kalman-filter zziz 2018
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Machine-Learning-with-Python devAmoghS 2019
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Industrial-Strength Natural Language Processing in Python Matthew Honnibal 2014
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decaNLP Salesforce 2018
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The 20-Task bAbl Question - Answering Dataset v1.2 Wolfram Research 2017
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SciPy - Library of scientific algorithms for Python Tutorial Robert Johansson 2017
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GroundHog Dzmitry Bahdanau, Kyunghyun Cho 2014
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CS224u: Natural Language Understanding Code Bill MacCartney and Christopher Potts 2016
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????TensorFlow | A Concise Handbook of TensorFlow snowkylin 2018
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PersianVerbAnalyzer: A rule based analyzer for Persian verbs Mohammad Rasooli, Heshaam Faili, Behrouz Minaei-Bidgoli 2011
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Facets: Visualizations for machine learning datasets James Wexler 2017
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lolviz Terence Parr 2018
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Building a simple inverted index using NLTK bogdani 2016
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HMTL - Multi-task Learning for solving NLP Tasks Rani Horev 2018
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10 Examples of Linear Algebra in Machine Learning Jason Brownlee 2018
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My Notes for Singular Value Decomposition with Interactive Code (feat Peter Mills) Jae Duk Seo 2018
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A Quick Introduction to the NumPy Library Adi Bronshtein 2017
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Python Sets and Set Theory Michael Galarnyk 2018
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Optimization for Machine Learning Elad Hazan 2019
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Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares Stephen Boyd, Lieven Vandenberghe 2018
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The intuitions behind Bayesian Optimization with Gaussian Processes Charles Brecque 2018
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30 Questions to test a data scientist on Natural Language Processing [Solution: Skilltest ? NLP] Shivam Bansal 2017
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Get Started with NLP in Python Paco Nathan 2017
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The List of Machine Learning Algorithms that You Must Know Author Unknown 2018
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Alibaba Open-Sources Mars to Complement NumPy Synced 2019
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Scipy Lecture Notes Gaël Varoquaux Emmanuelle Gouillart Olaf Vahtras Pierre de Buyl 2020
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What metrics should be used for evaluating a model on an imbalanced data set? Shir Meir Lador 2017
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Graphs and ML: Linear Regression Lauren Shin 2018
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2018 NLP Challenge on Machine Reading Comprehension CIPSC 2018
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Gentle Introduction to Vector Norms in Machine Learning Jason Brownlee 2018
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Can increasing depth serve to accelerate optimization? Nadav Cohen 2018
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The Essential NLP Guide for data scientists (with codes for top 10 common NLP tasks) Author Unknown 2017
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Quick Guide to Build a Recommendation Engine in Python Aarshay Jain 2016
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Natural Language Processing Andreessen Horowitz 2016
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An introduction to the metropolis method with python Tiago Ramalho 2014
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Counting Efficiently with Bounter pt. 1: HashTable Filip Stefanak 2017
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Book: Python Data Science Handbook Emmanuelle Rieuf 2017
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Linear Algebra N/A 2019
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Understanding Hyperparameters Optimization in Deep Learning Models: Concepts and Tools Jesus Rodriguez 2018
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A Practitioner's Guide to Natural Language Processing (Part I)???Processing & Understanding Text Dipanjan (DJ) Sarker 2018
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Absolute and Weighted Frequency of Words in Text Elias Dabbas 2018
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Mathematical Tricks Commonly Used in Machine Learning and Statistics Daniel Seita 2017
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Explaining precision and recall Andreas Klintberg 2017
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Convex functions Stephen P. Boyd 2007
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Finding shortest paths with Graph Neural Networks David Mack 2019
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Text Analytics with Python Apress/Springer 2017
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Understanding Bayes Theorem with Ratios Kalid Azad 2017
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Gentle Introduction to Eigendecomposition, Eigenvalues, and Eigenvectors for Machine Learning Jason Brownlee 2018
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Basic Statistics in Python: Descriptive Statistics Christian Pascual 2018
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Web Scraping, Regular Expressions, and Data Visualization: Doing it all in Python William Koehrsen 2018
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Text Preprocessing in Python: Steps, Tools, and Examples Data Monsters 2018
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Essential Math for Data Science????Why? and ?How? Tirthajyoti Sarkar 2018
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Comprehensive learning path ? Data Science in Python Kunal Jain 2017
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Autograd: Automatic Differentiation N/A 2019
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Linguistics, NLP, and Interdisciplinarity Or: Look at Your Data Emily M. Bender 2017
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Python NLTK Demos for Natural Language Text Processing Author Unknown 2017
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Datasets N/A 2019
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Learn Python LearnPython.org 2017
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Machine Learning for Humans, Part 2.2: Supervised Learning II Vishal Maini 2017
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Mathematics for Machine Learning Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong 2018
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SQL Cheat Sheet Dan Clark 2018
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Graph Convolutional Neural Network (Part II) Kwan-Yuet (Stephen) Ho 2018
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Python Pointers Author Unknown 2017
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Text Chunking with NLTK bogdani 2016
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Overview of DGL N/A 2019
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Open-sourcing PyText for faster NLP development Ahmed Aly Hegazy, Christopher Dewan 2018
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A Gentle Introduction to Sparse Matrices for Machine Learning Jason Brownlee 2018
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Introduction to Functional Programming in Python Spiro Sideris 2018
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A Gentle Introduction to Singular-Value Decomposition for Machine Learning Jason Brownlee 2018
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Introduction to Chinese Natural Language Processing Graham Hirst 2010
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Adaptive Experimentation Platform various 2019
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Linear Algebra for Deep Learning Niklas Donges 2018
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Python Programming in 15 min Part 3 Vihar Kurama 2017
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How optimization for machine learning works, Part 1 Brandon 2018
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A Beginners Guide to Natural Language Processing Thomas Plapinger 2017
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Lucky or not: Monte Carlo Method Irene Li 2016
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Multi-Task Learning Objectives for Natural Language Processing Author Unknown 2017
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Game theory???Minimax NerdsLab 2017
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R vs Python for Data Science: Summary of Modern Advances Author Unknown 2017
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A Programmer's Introduction to Mathematics Jeremy Kun 2018
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A curated list of data science, analysis and visualization tools QuantMind 2017
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Additional Exercises for Vectors Matrices and Least Squares "Stephen Boyd, Lieven Vandenberghe" 2017
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A Gentle Introduction To Graph Theory Vaidehi Joshi 2017
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A Gentle Introduction to Vectors for Machine Learning Jason Brownlee 2018
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Optimization in Python cookbook: bowl, plate and valley functions Alexandr Honchar 2018
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An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation) Prateek Joshi 2018
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Quick introduction to gaussian mixture models with python Tiago Ramalho 2014
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Text Data Preprocessing: A Walkthrough in Python Matthew Mayo 2018
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Introduction to Statistics Bargava, Raghotham 2015
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bAbl Tensor2Tensor Mostafa Dehghani and Stephan Gouws and Oriol Vinyals and Jakob Uszkoreit and ?ukasz Kaiser 2019
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Eigenvectors and Eigenvalues Victor Powell, Lewis Lehe 2018
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Python Regular Expressions Cheat Sheet Alex Yang 2018
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Implementation of Gradient Descent in Python Deepak Battini 2018
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TOP 100 medium articles related with Artificial Intelligence / Machine Learning? / Deep Learning (until Jan 2017) Florin Badita 2016
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Natural Language Processing Key Terms, Explained Matthew Mayo 2017
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Stanford's Linear Algebra Review Daniel Seita 2015
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Graph Embeddings — The Summary Primož Godec 2018
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A Programmer's Intuition for Matrix Multiplication Kalid Azad 2017
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A Gentle Introduction to Matrix Factorization for Machine Learning Jason Brownlee 2018
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Comparison of the Most Useful Text Processing APIs Author Unknown 2018
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Morphological Typology Gretchen McCulloch 2017
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Basic Probability Theory and Statistics Parag Radke 2017
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Linear Algebra and Calculus refresher Shervine Amidi 2018
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Neural Networks N/A 2019
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A Tutorial on the Expectation Maximization (EM) Algorithm Elena Sharova 2018
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Understanding the 3 Primary Types of Gradient Descent Daniel Gutierrez 2018
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Machine Learning for Humans, Part 2.1: Supervised Learning Vishal Maini 2017
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Get started with NLP (Part I) Sigmoider 2018
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Learn Pandas Hernan Rojas 2016
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Linear Algebra for Deep Learning Jason Brownlee 2018
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Gradient descent with Python Adrian Rosebrock 2016
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A Review of the Neural History of Natural Language Processing Sebastian Ruder 2018
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NLP-progress Sebastian Ruder 2018
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CS188: Intro to AI John DeNero and Dan Klein 2014
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Release of shorttext 0.5.4 Kwan-Yuet (Stephen) Ho 2017
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Python Programming in 15 min Part 2 Vihar Kurama 2017
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[ Archived Post ] Random Notes about Bayes Rule Jae Duk Seo 2018
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PythonForLinguists dinel 2018
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[ Archived Post ] Random Notes for Markov Chain Monte Carlo Jae Duk Seo 2018
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The 10 Algorithms Machine Learning Engineers Need to Know James Le 2016
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All of Statistics for Machine Learning Jason Brownlee 2018
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Exploring and Denoising Your Data Set Terence Parr, Jeremy Howard 2018
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Modern Machine Learning Algorithms: Strengths and Weaknesses Author Unknown 2017
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Natural Language Processing is Fun! Adam Geitgey 2018
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Building a NLP pipeline in NLTK bogdani 2016
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Deep Learning Indaba 2017 Practical content Deep Learning Indaba 2017
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How to teach yourself linguistics online for free Gretchen McCullough 2017
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A Gentle Introduction to Linear Algebra Jason Brownlee 2018
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Gradient Descent Algorithm and Its Variants Imad Dabbura 2017
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An Introduction to PyTorch – A Simple yet Powerful Deep Learning Library Faizan Shaikh 2018
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Particle Filter Simulation Richard Teammco 2013
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TextBlob: Simplified Text Processing Author Unknown 2018
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GPT-2 output dataset New Mu 2019
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Linear Algebra for Deep Learning Vihar Kurama 2018
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RRP #3: Andy Müller on scikit-learn and open source Radim ?eh??ek 2017
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Linear Algebra explained in the context of deep learning laxman vijay 2018
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Adam Optimization algorithms in Deep Learning Deepak Battini 2018
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An Essential Guide to Numpy for Machine Learning in Python Siddharth Dikshit 2018
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100 Times Faster Natural Language Processing in Python Thomas Wolf 2018
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Replicating Human Memory Structures in Neural Networks to Create Precise NLU algorithms Tavish Shrivastava 2018
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Automated Text Classification Using Machine Learning Shashank Gupta 2018
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Decision Trees & Limits of Learning Furong Huang 2018
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Natural Language Processing for the Long Tail David Bamman 2017
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Information Theory, Multivariate Gaussian, MLE Estimation, Robbins-Monro algorithm Nicholas Zabaras 2017
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Course Overview Alan Ritter 2019
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Probability, Naive Bayes Brendan O?Connor 2015
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Basic Concepts II Ansaf Salleb-Aouissi' 2019
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NLP Tasks 2 Dragomir Radev 2016
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