Gradient Descent Optimization [Part 2]
|
Manpreet |
2019 |
-
0
+
|
Report |
Pytorch Internals
|
Edward Z Yang |
2019 |
-
0
+
|
Report |
Matrix Algebra Tutorial
|
Harvey Berman |
2017 |
-
0
+
|
Report |
Cheatsheet ? Python & R codes for common Machine Learning Algorithms
|
Analytics Vidhya |
2015 |
-
0
+
|
Report |
Graph powering and spectral robustness
|
Emmanuel Abbe |
2018 |
-
0
+
|
Report |
Complexity and Character of Human Languages
|
Shay Cohen |
2015 |
-
0
+
|
Report |
Python for Data Science
|
Joe McCarthy |
2015 |
-
0
+
|
Report |
Parameter Estimation
|
Roger Levy |
2012 |
-
0
+
|
Report |
Optimizing Human Language Learning
|
Masato Hagiwara |
2018 |
-
0
+
|
Report |
Multiplication Ax using columns of A
|
gilbert Strang |
2015 |
-
0
+
|
Report |
Linear algebra cheat sheet for deep learning
|
Brendan Fortuner |
2017 |
-
0
+
|
Report |
An Introduction to Natural Language Processing (NLP)
|
Diego Lopez Yse |
2019 |
-
0
+
|
Report |
Recent Advances in Graph Analytics and Its Applications in Healthcare: Discussions
|
Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang |
2020 |
-
0
+
|
Report |
Dive Into NLTK, Part III: Part-Of-Speech Tagging and POS Tagger
|
Author Unknown |
2014 |
-
0
+
|
Report |
How to Handle Missing Timesteps in Sequence Prediction Problems with Python
|
Jason Brownlee |
2017 |
-
0
+
|
Report |
Comprehensive Guide to build a Recommendation Engine from scratch (in Python)
|
Pulkit Sharma |
2018 |
-
0
+
|
Report |
Investigating bias with NLTK
|
Harrison |
2018 |
-
0
+
|
Report |
Getting Started with Python for Data Analysis
|
Zak Jost |
2017 |
-
0
+
|
Report |
12 Useful Pandas Techniques in Python for Data Manipulation
|
Aarshay Jain |
2016 |
-
0
+
|
Report |
Intro-HLT: Distributional Semantics
|
João Sedoc |
2019 |
-
0
+
|
Report |
An overview of the Gradient Descent algorithm
|
Nishit Jain |
2019 |
-
0
+
|
Report |
Optimization Methods for Machine Learning Part II ? The theory of SG
|
Leon Bottou, Frank E. Curtis, Jorge Nocedal |
2016 |
-
0
+
|
Report |
Georgia Tech NLP Notes
|
Jacob Eisenstein |
2017 |
-
0
+
|
Report |
Python-Lectures
|
Rajath Kumarmp |
2015 |
-
0
+
|
Report |
Machine Learning: How the Gradient Descent Algorithm Works
|
Benjamin Obi Tayo |
2019 |
-
0
+
|
Report |
Pytorch Internals
|
Edward Z Yang |
2019 |
-
0
+
|
Report |
Natural Language Processing in Artificial Intelligence is almost human-level accurate. Worse yet, it gets smart!
|
Rafal |
2017 |
-
0
+
|
Report |
Corpora with NLTK
|
Harrison |
2018 |
-
0
+
|
Report |
Tagsets, Corpora Annotation
|
Jirka Hana & Anna Feldman |
2013 |
-
0
+
|
Report |
HOW ARE PRINCIPAL COMPONENT ANALYSIS AND SINGULAR VALUE DECOMPOSITION RELATED?
|
Andre perunicic |
2017 |
-
0
+
|
Report |
Frontiers of Natural Language Processing
|
Sebastian Ruder, Herman Kamper |
2018 |
-
0
+
|
Report |
Machine Learning using Linear Regression in Python with Code
|
Meet Nandu |
2018 |
-
0
+
|
Report |
Focused Graph Mining
|
Davide Mottin, Emmanuel Müller |
2018 |
-
0
+
|
Report |
Dive Into NLTK, Part VIII: Using External Maximum Entropy Modeling Libraries for Text Classification
|
Author Unknown |
2014 |
-
0
+
|
Report |
"Machine Learning Algorithms In Layman\s Terms, Part 2"
|
Audrey Loberfield |
2019 |
-
0
+
|
Report |
An Introduction to Scientific Python ? Matplotlib
|
Jamal Moir |
2016 |
-
0
+
|
Report |
Machine Learning Exercises In Python, Part 4
|
John Wittenauer |
2014 |
-
0
+
|
Report |
Exploratory Data Analysis in Python
|
Chloe Mawer, Jonathon Whitmore |
2017 |
-
0
+
|
Report |
The Py2neo v4 Handbook
|
N/A |
2019 |
-
0
+
|
Report |
Spectral Learning Algorithms for Natural Language Processing
|
Shay Cohen, Michael Collins, Dean Foster, Karl Stratos, and Lyle Ungar |
2013 |
-
0
+
|
Report |
Math of Neural Networks — from scratch in Python
|
Omar Aflak |
2018 |
-
0
+
|
Report |
How to get started with machine learning on graphs
|
David Mack |
2018 |
-
0
+
|
Report |
Introduction to Python
|
Luis Pedro Coelho |
2013 |
-
0
+
|
Report |
Fast AI Machine Learning Lecture 1 Notes
|
Sanyam Bhutani |
2018 |
-
0
+
|
Report |
Natural Language Processing Key Terms, Explained
|
Matthew Mayo |
2017 |
-
0
+
|
Report |
Introduction to computing with Python for engineering and scientific applications
|
Garth N. Wells |
2016 |
-
0
+
|
Report |
Tutorial on Universal Dependencies: Word segmentation and morphological annotation
|
Joakim Nivre, Daniel Zeman, Filip Ginter, Francis M. Tyers |
2017 |
-
0
+
|
Report |
A comprehensive beginners guide to Linear Algebra for Data Scientists
|
Vikas Kumar Yadav |
2017 |
-
0
+
|
Report |
Prolog and Natural-Language Analysis
|
Fernando C. N. Pereira, Stuart M. Shieber |
2002 |
-
0
+
|
Report |
Deep text-pair classification with Quora?s 2017 question dataset
|
Matthew Honnibal |
2017 |
-
0
+
|
Report |
Natural Language Processing Made Easy ? using SpaCy (in Python)
|
Shivam Bansal |
2017 |
-
0
+
|
Report |
Computational Morphology: Introduction
|
Aarne Ranta |
2011 |
-
0
+
|
Report |
BIPARTITE B-MATCHING
|
Sanmay Das, John P Dickerson, Bryan Wilder |
2019 |
-
0
+
|
Report |
Machine Learning & Linear Algebra\
|
Jonathan Hui |
2019 |
-
0
+
|
Report |
Tokenizing Words and Sentences with NLTK
|
Harrison |
2018 |
-
0
+
|
Report |
Probability for ML
|
InFoCusp Innovations Pvt. Ltd. |
2018 |
-
0
+
|
Report |
Sparse and Regularized Optimization Part 2
|
Stephen Wright |
2012 |
-
0
+
|
Report |
Spectral Methods for Dimensionality Reduction
|
Lawrence Saul |
2005 |
-
0
+
|
Report |
Particle filters with Python
|
Alexey Abramov |
2015 |
-
0
+
|
Report |
Research fast and Slow
|
Min-Yen Kan |
2018 |
-
0
+
|
Report |
Entraînement : Optimisation continue
|
Nicolas Le Roux |
2018 |
-
0
+
|
Report |
An Example Machine Learning Notebook
|
Randal S. Olson |
2017 |
-
0
+
|
Report |
How to get started in NLP
|
Melanie Tosik |
2017 |
-
0
+
|
Report |
Computational Complexity of Natural Language
|
Antonio Branco |
2018 |
-
0
+
|
Report |
A Crash Course in Python for Scientists
|
Rick Muller |
2013 |
-
0
+
|
Report |
NLP Learning Series Part 1: Text Preprocessing Methods for Deep Learning
|
Rahul Agarwal |
2019 |
-
0
+
|
Report |
Multivariate Probability
|
Roger Levy |
2012 |
-
0
+
|
Report |
Tutorial: Optimization for Machine Learning
|
Elad Hazan |
2018 |
-
0
+
|
Report |
Counting parameters in basic factorizations
|
Gilbert Strang |
2015 |
-
0
+
|
Report |
An Intuitive Guide to Linear Algebra
|
Kalid Azad |
2017 |
-
0
+
|
Report |
Gentle Start to Natural Language Processing using Python
|
Raheel Shaikh |
2018 |
-
0
+
|
Report |
Graph Generative Models & Drug Discovery
|
Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang |
2020 |
-
0
+
|
Report |
Dive Into NLTK, Part II: Sentence Tokenize and Word Tokenize
|
Author Unknown |
2014 |
-
0
+
|
Report |
Statistical Data Analysis in Python
|
Christopher Fonnesbeck |
2013 |
-
0
+
|
Report |
How to become an expert in NLP in 2019 (1)
|
Kushajveer Singh |
2019 |
-
0
+
|
Report |
Why Python?
|
Liang Huang |
2014 |
-
0
+
|
Report |
The Beginner’s Guide to Gradient Descent
|
Chi-Feng Wang |
2018 |
-
0
+
|
Report |
Building A Deep Learning Model using Keras
|
Elijaz Allibhai |
2018 |
-
0
+
|
Report |
How time-series databases help make sense of sensors
|
Justin W. Flory |
2017 |
-
0
+
|
Report |
Lemmatizing with NLK
|
Harrison |
2018 |
-
0
+
|
Report |
How to read most commonly used file formats in Data Science (using Python)?
|
Ankit Gupta |
2017 |
-
0
+
|
Report |
A Complete Tutorial to Learn Data Science with Python from Scratch
|
Kunal Jain |
2016 |
-
0
+
|
Report |
Stochastic Gradient Methods for Large-Scale Machine Learning
|
Leon Bottou, Frank E. Curtis, Jorge Nocedal |
2016 |
-
0
+
|
Report |
MLlib: Scalable Machine Learning on Spark
|
Xiangrui Meng |
2017 |
-
0
+
|
Report |
A Pocket Guide to Data Science
|
Brandon Rohrer |
2016 |
-
0
+
|
Report |
CoqGym
|
"Yang, Kaiyu and Deng, Jia" |
2019 |
-
0
+
|
Report |
Using Scrapy to Build your Own Dataset
|
Michael Galarnyk |
2017 |
-
0
+
|
Report |
Examples from the IPython mini-book
|
Cyrille Rossant |
2013 |
-
0
+
|
Report |
The Bias-Variance trade-off : Explanation and Demo
|
Aditya Prasad |
2019 |
-
0
+
|
Report |
Overview of linguistics
|
Nathan Schneider |
2019 |
-
0
+
|
Report |
Gradient Descent Optimization [Part 1]
|
Manpreet |
2019 |
-
0
+
|
Report |
Mathematics for Artificial Intelligence \ Calculus & Optimization
|
Nikola Živkovi |
2019 |
-
0
+
|
Report |
Modern ML for NLP: Large Scale Techniques for Shallow and Deep Learning
|
Dan Pressel |
2016 |
-
0
+
|
Report |
Python Numpy Tutorial
|
Justin Johnson |
2016 |
-
0
+
|
Report |
Computational Morphology
|
Jirka Hana & Anna Feldman |
2013 |
-
0
+
|
Report |
Expectation Maximization (EM)
|
Karl Stratos |
2018 |
-
0
+
|
Report |
Reflex-based models with Machine Learning
|
Shervine Amidi |
2019 |
-
0
+
|
Report |
Exploratory Graph Analysis
|
Davide Mottin, Emmanuel Müller |
2018 |
-
0
+
|
Report |
Dive Into NLTK, Part VII: A Preliminary Study on Text Classification
|
Author Unknown |
2014 |
-
0
+
|
Report |
"Machine Learning Algorithms In Layman\s Terms, Part 1"
|
Audrey Loberfield |
2019 |
-
0
+
|
Report |
Machine Learning Exercises In Python, Part 3
|
John Wittenauer |
2014 |
-
0
+
|
Report |
Introduction to Gradient Descent Algorithm (along with variants) in Machine Learning
|
Faizan Shaikh |
2017 |
-
0
+
|
Report |
How to Learn Math for Data Science, The Self-Starter Way
|
Author Unknown |
2017 |
-
0
+
|
Report |
Getting started with Neo4j and Python
|
Marco Bonzanini |
2015 |
-
0
+
|
Report |
The Guide to Learning Python for Data Science
|
Vincent Granville |
2016 |
-
0
+
|
Report |
A mini-course on Convex Optimization
|
Nisheeth Vishnoi |
2015 |
-
0
+
|
Report |
Just Machine Learning
|
Tina Eliassi-Rad |
2017 |
-
0
+
|
Report |
An Interactive Guide To The Fourier Transform
|
Kalid Azad |
2017 |
-
0
+
|
Report |
Dual Decomposition for Natural Language Processing
|
Alexander M. Rush and Michael Collins |
2011 |
-
0
+
|
Report |
How to Generate Test Datasets in Python with scikit-learn
|
Jason Brownlee |
2018 |
-
0
+
|
Report |
Morphological language classification
|
Gerhard Jaeger |
2016 |
-
0
+
|
Report |
Linear Algebra - Matrix Transformations
|
Eugene Khutoryansky |
2015 |
-
0
+
|
Report |
Ideas on interpreting machine learning
|
Patrick Hall, Wen Phan, SriSatish Ambati |
2017 |
-
0
+
|
Report |
Representation and Inference for Natural Language
|
Patrick Blackburn, Johan Bos |
1999 |
-
0
+
|
Report |
Supervised similarity: Learning symmetric relations from duplicate question data
|
Matthew Honnibal |
2017 |
-
0
+
|
Report |
Intro to Python
|
Wei Xu |
2017 |
-
0
+
|
Report |
Tutorial: Natural Language Processing in Python
|
Marco Bonzanini, Miguel Martinez-Alvarez |
2016 |
-
0
+
|
Report |
Machine Learning Exercises In Python, Part 2
|
John Wittenauer |
2014 |
-
0
+
|
Report |
Computational Morphology: Resource-light Approaches to Morphology
|
Jirka Hana & Anna Feldman |
2013 |
-
0
+
|
Report |
Decision making under uncertainty
|
Sanmay Das, John P Dickerson, Bryan Wilder |
2019 |
-
0
+
|
Report |
Machine Learning & Linear Algebra\\\Special Matrices
|
Jonathan Hui |
2019 |
-
0
+
|
Report |
Natural Language Understanding
|
John F. Sowa, Arun K. Majumdar |
2015 |
-
0
+
|
Report |
From Scratch: AI Balancing Act in 50 Lines of Python
|
Mike Shi |
2018 |
-
0
+
|
Report |
Graph Exploration: From the User to Large Graphs
|
Davide Mottin, Emmanuel Müller |
2017 |
-
0
+
|
Report |
The Langauge of Directed Acyclic Graphical Models
|
Roger Levy |
2012 |
-
0
+
|
Report |
Machine Learning Exercises In Python, Part 8
|
John Wittenauer |
2014 |
-
0
+
|
Report |
Hyperparameter tuning
|
Andrew Ng |
2019 |
-
0
+
|
Report |
Some Relevant Topics in Optimization
|
Stephen Wright |
2012 |
-
0
+
|
Report |
How to Write Perfect Python Command-line Interfaces — Learn by Example
|
Yannick Wolff |
2018 |
-
0
+
|
Report |
Learning Representation & Behavior: Manifold and Spectral Methods for Markov Decision Processes and Reinforcement Learning
|
Sridhar Mahadevan, Mauro Maggioni |
2006 |
-
0
+
|
Report |
Best Practices for Feature Engineering
|
Author Unknown |
2017 |
-
0
+
|
Report |
Jupyter Notebook Best Practices for Data Science
|
Jonathan Whitmore |
2016 |
-
0
+
|
Report |
Beginners Tutorial for Regular Expressions in Python
|
Sunil Ray |
2015 |
-
0
+
|
Report |
Machine Learning Cheat Sheet (for scikit-learn)
|
Andreas Mueller |
2013 |
-
0
+
|
Report |
Introduction to Natural Language Processing (NLP) 2016
|
Matt Kiser |
2016 |
-
0
+
|
Report |
Data Science Tutorial For Beginners
|
Kaan Can |
2018 |
-
0
+
|
Report |
Computational Complexity in Natural Language
|
Ian Pratt-Hartmann |
2009 |
-
0
+
|
Report |
Naïve Bayes from Scratch using Python only— No Fancy Frameworks
|
Aisha Javed |
2018 |
-
0
+
|
Report |
Univariate Probability
|
Roger Levy |
2012 |
-
0
+
|
Report |
A Tutorial on Principal Component Analysis
|
Jonathon Shelns |
2005 |
-
0
+
|
Report |
Linear Algebra for Machine Learning
|
Jason Brownlee |
2014 |
-
0
+
|
Report |
A Brief Introduction to Machine Learning for Engineers
|
Osvaldo Simeone |
2018 |
-
0
+
|
Report |
Natural Language Understanding: Foundations and State-of-the-Art
|
Percy Liang |
2017 |
-
0
+
|
Report |
Knowledge Graph Construction and Inference
|
Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang |
2020 |
-
0
+
|
Report |
Dive Into NLTK, Part I: Getting Started with NLTK
|
Author Unknown |
2014 |
-
0
+
|
Report |
Boost Your Jupyter Notebook Productivity
|
Nazif Berat |
2017 |
-
0
+
|
Report |
Intro to NLP
|
Wei Xu |
2017 |
-
0
+
|
Report |
Domain-Specific Corpora
|
Craig Knoblock, Pedro Szekely, Mayank Kejriwal |
2018 |
-
0
+
|
Report |
Running Jupyter notebooks on GPU on AWS: a starter guide
|
Francois Chollet |
2017 |
-
0
+
|
Report |
Computational Morphology
|
Radhika Mamidi |
2013 |
-
0
+
|
Report |
Probabilistic Models in Computational Linguistics
|
Christopher Manning |
2000 |
-
0
+
|
Report |
Patterns for Research in Machine Learning
|
Ali Eslami |
2012 |
-
0
+
|
Report |
Chunking with NLTK
|
Harrison |
2018 |
-
0
+
|
Report |
IPython Tutorial
|
Justin Johnson |
2016 |
-
0
+
|
Report |
Probability: Review
|
Pieter Abbeel |
2015 |
-
0
+
|
Report |
Keep it simple! How to understand Gradient Descent algorithm
|
Jahnavi Mahanta |
2017 |
-
0
+
|
Report |
Artificial Neural Networks II
|
Shubhendu Trivedi |
2015 |
-
0
+
|
Report |
Natural Language Processing: Algorithms and Applications, Old and New
|
Noah Smith |
2015 |
-
0
+
|
Report |
Computing Neural Network Gradients
|
kevin Clark |
2019 |
-
0
+
|
Report |
scientific-python-lectures
|
Robert Johansson |
2012 |
-
0
+
|
Report |
Einstein Summation in Numpy
|
Olexa Bilaniuk |
2016 |
-
0
+
|
Report |
What Every Computational Linguist Should Know About Type-Token Distributions and Zipf?s Law
|
Stefan Evert |
2018 |
-
0
+
|
Report |
Back-propagation Demystified [Part 1]
|
Manpreet |
2019 |
-
0
+
|
Report |
Singular Value Decomposition vs. Matrix Factoring in Recommender Systems
|
K. Delphino |
2019 |
-
0
+
|
Report |
States-based models with search optimization and MDP
|
Shervine Amidi |
2019 |
-
0
+
|
Report |
Lightning tour of spaCy usage
|
Matthew Honnibal |
2015 |
-
0
+
|
Report |
Basics of Computational Morpholog
|
Jirka Hana |
2011 |
-
0
+
|
Report |
Optimization, regularization for NN
|
Suriya Gunasekar |
2018 |
-
0
+
|
Report |
Principal Component Analysis in C#
|
César Souza |
2010 |
-
0
+
|
Report |
Challenges and discussion
|
Davide Mottin, Emmanuel Müller |
2018 |
-
0
+
|
Report |
Dive Into NLTK, Part VI: Add Stanford Word Segmenter Interface for Python NLTK
|
Author Unknown |
2014 |
-
0
+
|
Report |
Machine Learning Exercises In Python, Part 1
|
John Wittenauer |
2014 |
-
0
+
|
Report |
Probabilistic Thinking
|
Yabebal Fantaye |
2018 |
-
0
+
|
Report |
Using FastText via Gensim
|
RaRe-Technologies |
2019 |
-
0
+
|
Report |
Optimization for Large Scale Machine Learning
|
Francis Bach |
2020 |
-
0
+
|
Report |
Keras tutorial: Practical guide from getting started to developing complex deep neural network
|
Ankit Sachan |
2019 |
-
0
+
|
Report |
Spectral Algorithms for Latent Variable Models Part II: Dynamical Systems
|
Byron Boots |
2012 |
-
0
+
|
Report |
Let’s Think in Graphs: Introduction to Graph Theory and its Applications using Python
|
Pulkit Sharma |
2018 |
-
0
+
|
Report |
scikit-learn-interactive-tutorial
|
Andreas Mueller |
2017 |
-
0
+
|
Report |
Languages of the World
|
Kevin Duh |
2014 |
-
0
+
|
Report |
Convex Optimization: Algorithms and Complexity
|
Sebastien Bubeck |
2015 |
-
0
+
|
Report |
Tutorial: PART 2 Optimization for machine learning
|
Elad Hazan |
2017 |
-
0
+
|
Report |
Python for Developers
|
Ricardo Duarte |
2013 |
-
0
+
|
Report |
PyTorch Useful miscellaneous functions
|
Saketh Saraswathi |
2020 |
-
0
+
|
Report |
Introduction to Dynamic Programming
|
Jesse Farmer |
2008 |
-
0
+
|
Report |
Neural Network Playgorund
|
Daniel Smilkov and Shan Carter |
2019 |
-
0
+
|
Report |
Eigenvalues and Eigenvectors, Imaginary and Real
|
Eugene Khutoryansky |
2016 |
-
0
+
|
Report |
Tutorial on Automated Machine Learning using MLBox
|
NSS |
2017 |
-
0
+
|
Report |
Populating GRAKN.AI with the World
|
Jo Stichbury |
2016 |
-
0
+
|
Report |
Apache Spark in Python: Beginners Guide
|
Karlijn Willems |
2017 |
-
0
+
|
Report |
Our approach to morphology
|
Jirka Hana & Anna Feldman |
2013 |
-
0
+
|
Report |
Formulating Optimization Objectives: Cardinal Utility Models
|
Sanmay Das, John P Dickerson, Bryan Wilder |
2019 |
-
0
+
|
Report |
Key Machine Learning PreReq: Viewing Linear Algebra through the right lenses
|
Vincent Granville |
2017 |
-
0
+
|
Report |
Refinement of Query Results
|
Davide Mottin, Emmanuel Müller |
2018 |
-
0
+
|
Report |
Machine Learning Exercises In Python, Part 7
|
John Wittenauer |
2014 |
-
0
+
|
Report |
Probability and Information Theory
|
Ian Goodfellow and Yoshua Bengio and Aaron Courville |
2016 |
-
0
+
|
Report |
Evolving Multitask Neural Network Structure
|
Risto Miikkulainen |
2017 |
-
0
+
|
Report |
Sparse and Regularized Optimization
|
Stephen Wright |
2012 |
-
0
+
|
Report |
How to Learn Python for Data Science in 2017
|
Author Unknown |
2017 |
-
0
+
|
Report |
Pandas-Tutorial
|
Adit Deshpande |
2017 |
-
0
+
|
Report |
Squashing Computational Linguistics
|
Noah A. Smith |
2017 |
-
0
+
|
Report |
"Essential NLP Tools, Code, and Tips"
|
Diego Lopez Yse |
2019 |
-
0
+
|
Report |
Machine Learning with scikitlearn
|
Sebastian Raschka, Andreas Mueller |
2016 |
-
0
+
|
Report |
Metropolis and Gibbs Sampling
|
Cliburn Chan, Janice McCarthy |
2016 |
-
0
+
|
Report |
Key differences between Python 2.7.x and Python 3.x
|
Sebastian Raschka |
2013 |
-
0
+
|
Report |
Linear Algebra and Learning from data
|
Gilbert Strang |
2019 |
-
0
+
|
Report |
HOW TO SOLVE 90% OF NLP PROBLEMS: A STEP-BY-STEP GUIDE
|
Emmanuel Ameisen |
2019 |
-
0
+
|
Report |
representations of relationships in text (and images) ...and some other stuff
|
Hal Daume III |
2017 |
-
0
+
|
Report |
Network Embedding and Graph Neural Networks
|
Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang |
2020 |
-
0
+
|
Report |
Ultimate Guide to Understand & Implement Natural Language Processing (with codes in Python)
|
Shivam Bansal |
2017 |
-
0
+
|
Report |
Gradient-based Optimization
|
Christian S. Perone |
2020 |
-
0
+
|
Report |
"Making sense of principal component analysis, eigenvectors & eigenvalues"
|
anonymous |
2019 |
-
0
+
|
Report |
Tutorial
|
N/A |
2019 |
-
0
+
|
Report |
Chinking with NLTK
|
Harrison |
2018 |
-
0
+
|
Report |
Maximum Likelihood, Expectation Maximization
|
Pieter Abbeel |
2015 |
-
0
+
|
Report |
Gentle Introduction to the Adam Optimization Algorithm for Deep Learning
|
Jason Brownlee |
2017 |
-
0
+
|
Report |
Artificial Neural Networks I
|
Shubhendu Trivedi |
2015 |
-
0
+
|
Report |
A Multivariate Time Series Guide to Forecasting and Modeling (with Python codes)
|
Aishwarya Singh |
2018 |
-
0
+
|
Report |
Topics, Trends, and Resources in NLP
|
Mohit Bansal |
2015 |
-
0
+
|
Report |
Custom Display Logic: Ipython
|
Fernando Pérez |
2015 |
-
0
+
|
Report |
Deep Reinforcement Learning with TensorFlow 2.0
|
Roman Ring |
2019 |
-
0
+
|
Report |
What Every Computational Linguist Should Know About Type-Token Distributions and Zipf?s Law
|
Stefan Evert |
2018 |
-
0
+
|
Report |
Demystifying Different Variants of Gradient Descent Optimization Algorithm
|
Niranjan Kumar |
2019 |
-
0
+
|
Report |
Machine Learning Algorithms Explained
|
Martin Heller |
2019 |
-
0
+
|
Report |
Visualizing Relationships between Loss Functions and Gradient Descent
|
Hugegene |
2019 |
-
0
+
|
Report |
Linear Algebra Review and Reference
|
Zico Kolter, Chuong Do |
2015 |
-
0
+
|
Report |
Texts are Knowledge
|
Christopher Manning |
2013 |
-
0
+
|
Report |
Learning AI if You Suck at Math???P7???The Magic of Natural Language Processing
|
Daniel Jeffries |
2017 |
-
0
+
|
Report |
Everything you need to know about Graph Theory for Deep Learning
|
Flawnson Tong |
2019 |
-
0
+
|
Report |
Domain-Specific Corpora
|
Craig Knoblock |
2018 |
-
0
+
|
Report |
Basics of Morphology
|
Jirka Hana |
2011 |
-
0
+
|
Report |
Optimization Algorithms
|
Andrew Ng |
2019 |
-
0
+
|
Report |
What is column space?
|
Aerin Kim |
2019 |
-
0
+
|
Report |
A Basic NLP Tutorial for News Multiclass Categorization
|
Armand Olivares |
2019 |
-
0
+
|
Report |
Background
|
Davide Mottin, Emmanuel Müller |
2018 |
-
0
+
|
Report |
Dive Into NLTK, Part V: Using Stanford Text Analysis Tools in Python
|
Author Unknown |
2014 |
-
0
+
|
Report |
Time Series Data Visualization with Python
|
Jason Brownlee |
2017 |
-
0
+
|
Report |
Optimal Transport
|
Marco Cuturi |
2020 |
-
0
+
|
Report |
Linear Regression — Python Implementation
|
Marco Peixeiro |
2018 |
-
0
+
|
Report |
Spectral Learning Techniques for Weighted Automata, Transducers, and Grammars
|
Borja Balle, Ariadna Quattoni, Xavier Carreras |
2014 |
-
0
+
|
Report |
How to Scrape Data From Facebook Page Posts for Statistical Analysis
|
Max Woolf |
2016 |
-
0
+
|
Report |
Statistical machine learning and convex optimization
|
Francis Bach |
2018 |
-
0
+
|
Report |
Tutorial: PART 1 Optimization for machine learning
|
Elad Hazan |
2017 |
-
0
+
|
Report |
Topic Models
|
David Blei |
2009 |
-
0
+
|
Report |
NLP Tutorial Using Python NLTK (Simple Examples)
|
Mokhtar Ebrahim |
2017 |
-
0
+
|
Report |
Introduction to Python
|
Eric Matthes |
2013 |
-
0
+
|
Report |
PyTorch Basics Part 2
|
Saketh Saraswathi |
2020 |
-
0
+
|
Report |
ACL 2015 Tutorial on Matrix and Tensor Factorization Methods for Natural Langauge Processing
|
Jason Naradowsky |
2015 |
-
0
+
|
Report |
Towards Multidimensional Analysis of Text Corpora
|
Jingbo Shang, Chao Zhang, Jiaming Shen, Jiawei Han |
2018 |
-
0
+
|
Report |
Classical Approaches to Tagging
|
Jirka Hana & Anna Feldman |
2013 |
-
0
+
|
Report |
Optimization & Learning Approaches to Resource Allocation for Social Good: PRELIMINARIES & TECHNIQUE
|
Sanmay Das, John P Dickerson, Bryan Wilder |
2019 |
-
0
+
|
Report |
Everything you did and didn't know about PCA
|
Alex Williams |
2016 |
-
0
+
|
Report |
Machine Learning and Visualization
|
Davide Mottin, Emmanuel Müller |
2018 |
-
0
+
|
Report |
Dive Into NLTK, Part X: Play with Word2Vec Models based on NLTK Corpus
|
Author Unknown |
2014 |
-
0
+
|
Report |
Machine Learning Exercises In Python, Part 6
|
John Wittenauer |
2014 |
-
0
+
|
Report |
Meta-Learning Symposium
|
Risto Miikkulainen, Quoc Le, Kenneth Stanley, Chrisantha Fernando |
2017 |
-
0
+
|
Report |
Scikit-Learn Sklearn with NLTK
|
Harrison |
2018 |
-
0
+
|
Report |
Tutorial on Optimization methods for machine learning
|
Jorge Nocedal |
2012 |
-
0
+
|
Report |
A Short Machine Learning Explanation — in terms of Linear Algebra, Probability and Calculus
|
Pranoy Radhakrishnan |
2018 |
-
0
+
|
Report |
An introduction to Bag of Words and how to code it in Python for NLP
|
Praveen Dubey |
2018 |
-
0
+
|
Report |
PyTorch Primer Series #0
|
Sanyam Bhutani |
2018 |
-
0
+
|
Report |
A Tutorial on Dual Decomposition
|
Yujia Li |
2014 |
-
0
+
|
Report |
An Introduction to Machine Learning in Python
|
Sebastian Raschka |
2016 |
-
0
+
|
Report |
Monte Carlo Methods
|
Don M. Dini |
2017 |
-
0
+
|
Report |
Getting Started with Pattern
|
Author Unknown |
2014 |
-
0
+
|
Report |
Data Science Simplified: Key Concepts of Statistical Learning
|
Pradeep Menon |
2017 |
-
0
+
|
Report |
Natural Language Processing (NLP) NLP for Computational Social Science
|
Cristian Danescu-Niculescu-Mizil, Lillian Lee |
2017 |
-
0
+
|
Report |
Recent Advances in Graph Analytics and Its Applications in Healthcare: Introduction
|
Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang |
2020 |
-
0
+
|
Report |
Extracting information from reports using Regular Expressions Library in Python
|
Yogesh Kulkarni |
2017 |
-
0
+
|
Report |
Python - Tutorial
|
Tutorialspoint |
2017 |
-
0
+
|
Report |
Morphological Parsing
|
Mariana Neves |
2017 |
-
0
+
|
Report |
Principal Component Analysis
|
Joao Neto |
2013 |
-
0
+
|
Report |
Stemming words with NLTK
|
Harrison |
2018 |
-
0
+
|
Report |
Negative Dependence, Stable Polynomials etc in ML
|
Suvrit Sra & Stefanie Jegelka |
2018 |
-
0
+
|
Report |
ConvNetJS Trainer demo on MNIST
|
Andrej Karpathy |
2013 |
-
0
+
|
Report |
High-Performance Hardware for Machine Learning
|
William Dally |
2015 |
-
0
+
|
Report |
A Hands-On Guide to Automated Feature Engineering using Featuretools in Python
|
Prateek Joshi |
2018 |
-
0
+
|
Report |
Spectral Learning
|
Hannah Lawrence |
2018 |
-
0
+
|
Report |
Python Machine Learning Tutorial, Scikit-Learn: Wine Snob Edition
|
Author Unknown |
2017 |
-
0
+
|
Report |
TensorFlow Model Optimization Toolkit\\\Pruning API
|
TensorFlow |
2019 |
-
0
+
|
Report |
Understanding PyTorch with an example: a step-by-step tutorial
|
Daniel Godoy |
2019 |
-
0
+
|
Report |
Gradient Descent Optimization [Part 3]
|
Manpreet |
2019 |
-
0
+
|
Report |
Towards A Rigorous Science of Interpretable Machine Learning
|
Finale Doshi-Velez and Been Kim |
2017 |
-
0
+
|
Report |
Dive into Machine Learning
|
Michael Floering |
2015 |
-
0
+
|
Report |
Modality and Negation in Natural Language Processing
|
Roser Morante |
2011 |
-
0
+
|
Report |
Computational Linguistics: Formal Grammar, History and Future of CL
|
Raffaella Bernardi |
2015 |
-
0
+
|
Report |
Numerical Computing in Python
|
Steve Phelps |
2016 |
-
0
+
|
Report |
LxMLS - Lab Guide
|
N/A |
2020 |
-
0
+
|
Report |
Singular Value and Eigenvalue Decompositions
|
Frank Dellaert |
2008 |
-
0
+
|
Report |
Supervised learning is great ? it?s data collection that?s broken
|
Ines Montani, Matthew Honnibal |
2017 |
-
0
+
|
Report |
Monte Carlo Tree Search – beginners guide
|
Int8 |
2018 |
-
0
+
|
Report |
Introduction to Machine Learning for Beginners
|
Diva Jain |
2019 |
-
0
+
|
Report |
Foundations and Applications of Graph Neural Networks
|
Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma |
2020 |
-
0
+
|
Report |
Dive Into NLTK, Part IV: Stemming and Lemmatization
|
Author Unknown |
2014 |
-
0
+
|
Report |
Data Preparation for Variable Length Input Sequences
|
Jason Brownlee |
2017 |
-
0
+
|
Report |
Comprehensive Guide to Learning Python for Data Analysis and Data Science
|
Martijn Theuwissen |
2016 |
-
0
+
|
Report |
How to Handle Imbalanced Classes in Machine Learning
|
Author Unknown |
2017 |
-
0
+
|
Report |
Backpropagation
|
Karl Stratos |
2018 |
-
0
+
|
Report |
How can I tokenize a sentence with Python?
|
Jonathan Mugan |
2017 |
-
0
+
|
Report |
Tutorial ? Getting Started with GraphLab For Machine Learning in Python
|
Sunil Ray |
2015 |
-
0
+
|
Report |
100 Things You Always Wanted to Know about Linguistics But Were Afraid to Ask
|
Emily M. Bender |
2012 |
-
0
+
|
Report |
Optimizing Decision-making with the Minimax AI algorithm
|
Shukant Pal |
2019 |
-
0
+
|
Report |
Beyond SG: Noise Reduction and Second-Order Methods
|
Leon Bottou, Frank E. Curtis, Jorge Nocedal |
2016 |
-
0
+
|
Report |
Machine Learning for Humans
|
Vishal Maini, Samer Sabri |
2017 |
-
0
+
|
Report |
AI?s Language Problem
|
Will Knight |
2013 |
-
0
+
|
Report |
Learning Python: From Zero to Hero
|
TK |
2017 |
-
0
+
|
Report |
matplotlib - 2D and 3D plotting in Python
|
J.R. Johansson |
2015 |
-
0
+
|
Report |
Python Data Science Handbook
|
Jake Vanderplas |
2016 |
-
0
+
|
Report |
Understanding the Mathematics behind Gradient Descent
|
Parul Pandey |
2019 |
-
0
+
|
Report |
An Introduction to Scientific Python (and a Bit of the Maths Behind It) ? NumPy
|
Jamal Moir |
2016 |
-
0
+
|
Report |
Morphological analysis
|
Jirka Hana & Anna Feldman |
2013 |
-
0
+
|
Report |
Optimization & Learning Approaches to Resource Allocation for Social Good
|
Sanmay Das, John P Dickerson, Bryan Wilder |
2019 |
-
0
+
|
Report |
Principal component analysis in Python
|
Vebjorn Ljosa |
2009 |
-
0
+
|
Report |
Decipherment
|
Kevin Knight |
2013 |
-
0
+
|
Report |
Learn Python 2
|
N/A |
2019 |
-
0
+
|
Report |
Introduction
|
Davide Mottin, Emmanuel Müller |
2018 |
-
0
+
|
Report |
Dive Into NLTK, Part IX: From Text Classification to Sentiment Analysis
|
Author Unknown |
2014 |
-
0
+
|
Report |
An Introduction to Scientific Python (and a Bit of the Maths Behind It) ? Matplotlib
|
Jamal Moir |
2016 |
-
0
+
|
Report |
Machine Learning Exercises In Python, Part 5
|
John Wittenauer |
2014 |
-
0
+
|
Report |
Bayesian Optimization For Automated Model Selection
|
Gustavo Malkomes, Chip Schaff, Roman Garnett |
2017 |
-
0
+
|
Report |
An overview of gradient descent optimization algorithms
|
Sebastian Ruder |
2017 |
-
0
+
|
Report |
Spectral Algorithms for Latent Variable Models Part III: Latent Tree Models
|
Le Song |
2012 |
-
0
+
|
Report |
A Visual And Interactive Look at Basic Neural Network Math
|
Jay Alammar |
2019 |
-
0
+
|
Report |
Introduction to Python
|
Luis Pedro Coelho |
2015 |
-
0
+
|
Report |
PyTorch Basics in 4 Minutes
|
Sanyam Bhutani |
2018 |
-
0
+
|
Report |
How to design experiments in NLU
|
Sam Bowman |
2019 |
-
0
+
|
Report |
Machine Learning Workflows in Python from Scratch Part 1: Data Preparation
|
Matthew Mayo |
2017 |
-
0
+
|
Report |
Monte Carlo Inference Methods
|
Iain Murray |
2017 |
-
0
+
|
Report |
Modeling Morphologically Rich Languages
|
Chris Dyer |
2013 |
-
0
+
|
Report |
Linear Algebra
|
N/A |
2019 |
-
0
+
|
Report |
Tensor Methods in Machine Learning
|
Rong Ge |
2015 |
-
0
+
|
Report |
Data Science Simplified: Principles and Process
|
Pradeep Menon |
2017 |
-
0
+
|
Report |
spaCy v1.0: Deep Learning with custom pipelines and Keras
|
Matthew Honnibal |
2016 |
-
0
+
|
Report |
"What is Graph Theory, and why should you care?"
|
Vegard Flovik |
2020 |
-
0
+
|
Report |
How to read most commonly used file formats in Data Science (using Python)?
|
Ankit Gupta |
2017 |
-
0
+
|
Report |
Computational Morphology
|
Harald Hammarstrom |
2017 |
-
0
+
|
Report |
Online Allocation Case Study: Kidney Exchange with Compatible Pairs
|
Sanmay Das, John P Dickerson, Bryan Wilder |
2019 |
-
0
+
|
Report |
Machine Learning & Linear Algebra\\\Eigenvalue and eigenvector
|
Jonathan Hui |
2019 |
-
0
+
|
Report |
Guide to Gradient Descent in 3 Steps and 12 Drawings
|
Charles Bordet |
2018 |
-
0
+
|
Report |
Your First Text Mining Project with Python in 3 steps
|
Will Gannon |
2017 |
-
0
+
|
Report |
VoG: Summarizing and Understanding Large Graphs
|
Danai Koutra |
2014 |
-
0
+
|
Report |
Stop words with NLTK
|
Harrison |
2018 |
-
0
+
|
Report |
alexafsm, A Finite-State Machine Python Library for Building Complex Alexa Skills
|
Vu Ha |
2017 |
-
0
+
|
Report |
Optimization methods for machine learning Part 1
|
Jorge Nocedal |
2012 |
-
0
+
|
Report |
Natural Language Processing (NLP) for Computational Social Science
|
Cristian Danescu-Niculescu-Mizil, Lillian Lee |
2015 |
-
0
+
|
Report |
The Ultimate Python Seaborn Tutorial: Gotta Catch 'Em All
|
Author Unknown |
2017 |
-
0
+
|
Report |
Get Started with PyTorch – Learn How to Build Quick & Accurate Neural Networks (with 4 Case Studies!)
|
Shivam Bansal |
2019 |
-
0
+
|
Report |