Topic 6: Information Retrieval and Topic Modeling 151


Title (link) Author Date Votes Error Reviews
The Role of Wikipedia in Text Analysis and Retrieval Marius Pasca 2016
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First steps with networkx glowingpython 2012
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Betweenness Centrality glowingpython 2012
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Four ways to compute the Google Pagerank glowingpython 2012
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Is there a simple explanation of the Louvain Method of community detection? Shankar Iyer 2015
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Large Graph Mining: Power Tools and a Practitioner’s guide; Intro Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner’s guide;Task 1: Node importance Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner's guide; Task 2: Community Detection Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 3: Recommendations & proximity Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 4: Center-piece Subgraphs Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 5: Graphs over time & tensors Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 6: Virus/Influence Propagation Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner’s guide; Theory Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner’s guide; Task 8: hadoop and Tera/Peta byte graphs Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Large Graph Mining: Power Tools and a Practitioner’s guide; Conclusion Christos Faloutsos, Gary Miller, Charalampos (Babis) Tsourakakis 2009
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Fanfiction, Graphs, and PageRank Christopher Olah 2014
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Where Will Your Country Stand in World War III? Annalyn Ng 2016
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Notes on PageRank Chris McCormick 2015
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Representation Learning with Networks Jure Leskovec 2017
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Community Detection in Networks Jure Leskovec 2017
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Networks and Optimization Jure Leskovec 2017
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Human Decisions and Machine Predictions Jure Leskovec 2017
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PageRank explained in simple terms! Tavish Srivastava 2017
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Learning Representations of Large-Scale Networks Jian Tang, Cheng Li, Qiaozhu Mei 2017
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The local geometry of graphs, or, how to “read” large graphs Nati Linial 2017
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Beginner's guide to Web Scraping in Python (using BeautifulSoup) Sunil Ray 2015
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Neural Models for Information Retrieval Bhaskar Mitra 2017
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Neural Networks for Information Retrieval Tom Kenter1 Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra 2017
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Recent Trends in Network Science Hiroki Sayama 2016
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Modeling Sequential Data with Neural Networks Chris Dyer 2018
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Sequence Modeling with Neural Networks Harini Suresh 2018
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Title (link) Lecturer Date Votes Error Reviews
Semi Supervised Retrieval, Pagerank Dragomir Radev 2018
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Search Engine Architecture Dragomir Radev 2018
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Query Modification Dragomir Radev 2018
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Introduction to Information Retrieval Dragomir Radev 2018
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Random Walks and Harmonic Functions Dragomir Radev 2018
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Toolkits for Information Retrieval Dragomir Radev 2018
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Evaluation of Information Retrieval Dragomir Radev 2018
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MDPs II Percy Liang 2017
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Decision Networks and Value of Perfect Information Dan Klein and Pieter Abbeel 2014
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Information Theory David McAllester 2017
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Language modeling Hugo Larochelle 2017
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Information Retrieval 3 David Smith 2013
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Information Retrieval 1 David Smith 2013
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Information Retrieval 8 David Smith 2013
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Information Retrieval 4 David Smith 2013
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Information Retrieval 5 David Smith 2013
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Information Retrieval 7 David Smith 2013
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Information Retrieval 6 David Smith 2013
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Information Retrieval 2 David Smith 2013
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Hypertext and Link Analysis Christopher Manning 2017
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Efficient Scoring Christopher Manning 2017
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Introducing Information Retrieval and Web Search Christopher Manning 2017
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Tolerant Retrieval Christopher Manning 2017
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Ranking Principle Christopher Manning 2017
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Compression Christopher Manning 2017
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Hypertext and Link Analysis Christopher Manning 2017
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Evaluation Christopher Manning 2017
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Document Ingestion,Tokenization, Stemming and Lemmatization Christopher Manning 2017
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Evaluation Christopher Manning 2017
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Efficient Scoring Christopher Manning 2017
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Index Construction Christopher Manning 2017
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Tolerant Retrieval Christopher Manning 2017
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Evaluation Christopher Manning 2017
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Index Construction Christopher Manning 2017
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Introduction to Information Retrieval Christopher Manning 2017
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Document Ingestion,Tokenization, Stemming and Lemmatization Christopher Manning 2017
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Learning Ranking Christopher Manning 2017
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Evaluation Christopher Manning 2017
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Scoring and results assembly Christopher Manning 2017
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Ranking problem Christopher Manning 2017
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Probabilistic Information Retrieval Christopher Manning 2017
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Scoring and results assembly Christopher Manning 2017
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Dictionaries and Tolerant Retrieval Hinrich Sch¨utze 2014
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Probabilistic Information Retrieval Hinrich Sch¨utze 2014
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Learning to Rank Hinrich Sch¨utze 2014
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Link Analysis Hinrich Sch¨utze 2014
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Index Construction Hinrich Sch¨utze 2014
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The term vocabulary and postings lists Hinrich Sch¨utze 2014
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Latent Semantic Indexing Hinrich Sch¨utze 2014
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Language Models for IR Hinrich Sch¨utze 2014
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Scores in a Complete Search System Hinrich Sch¨utze 2014
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Relevance Feedback & Query Expansion Hinrich Sch¨utze 2014
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Index Compression Hinrich Sch¨utze 2014
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Crawling Hinrich Sch¨utze 2014
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XML Retrieval Hinrich Sch¨utze 2014
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Scoring, Term Weighting, The Vector Space Model Hinrich Sch¨utze 2014
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Evaluation & Result Summaries Hinrich Sch¨utze 2014
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Web Search Hinrich Sch¨utze 2014
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Boolean Retrieval Hinrich Sch¨utze 2014
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Automatic Summarization (and other stuff) Dan Klein 2014
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Lecture 6: (Probabilistic) Latent Semantic Analysis Julia Hockenmaier 2013
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Unsupervised Learning and Topic Modeling Yoav Goldberg 2018
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Vector Space Models Sameer Singh 2017
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CS11-747 Neural Networks for NLP Machine Reading w/ Graham Neubig 2017
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Index Construction and Advanced Queries Trevor Cohn 2018
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Index compression and efficient query processing Trevor Cohn 2018
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Query Completion / Expansion Trevor Cohn 2018
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INFORMATION RETRIEVAL: THE VECTOR SPACE MODEL Trevor Cohn 2018
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Lecture 6: Vector Space Model Kai-Wei Chang 2016
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Title (link) Author Date Votes Error Reviews
Web Search Query Log Downloads Jeff Huang 2010
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Stanford Large Network Dataset Collection Jure Leskovec 2014
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Title (link) Author Date Votes Error Reviews
node2vec: Scalable Feature Learning for Networks Jure Leskovec 2016
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A library for working with graphs in Python Pedro Matiello 2016
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NetworkX Benjamin Edwards, Dan Schult, Aric Hagberg, Jordi Torrents, Loïc Séguin-Charbonneau 2016
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python-igraph Tamás Nepusz, Gábor Csárdi 2005
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SyncPy Python Library Giovanna Varni, Mohamed Chetouani 2016
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scholar.py Daniele Ciriello, Christian Kreibich 2013
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Snap.py - SNAP for Python Jure Leskovec 2016
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Gephi: The Open Graph Viz Platform Bastian M., Heymann S., Jacomy M. 2008
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QueryReformulator Rodrigo Frassetto Nogueira, Kyunghyun Cho 2017
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Stanford Open Information Extraction - Python Wrapper Philippe R?my 2017
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Datefinder - Extract Dates from Text Author Unknown 2017
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Keras-GAN Erick Lindernoren 2018
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Capsule Network Daniel Havir 2018
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INDRI: Language modeling meets inference networks Author Unknown 2013
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topic_modeling_Gensim.ipynb Susan Li 2018
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Word Statistics theofilis 2013
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LexNLP by LexPredict LexPredict 2018
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Title (link) Author Date Votes Error Reviews
Cross-Language Information Retrieval Jian-Yun Nie 2010
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Web Crawling Christopher Olston and Marc Najork 2010
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Test Collection Based Evaluation of Information Retrieval Systems Mark Sanderson 2010
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A Survey of Statistical Network Models Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg and Edoardo M. Airoldi 2010
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MATRICES, VECTOR SPACES, AND INFORMATION RETRIEVAL MICHAEL W. BERRY, ZLATKO DRMAC, AND ELIZABETH R. JESSUP 1999
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Search Engines Information Retrieval in Practice W. Bruce Croft, Donald Metzler, Trevor Strohman 2015
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Estimating the Query Difficulty for Information Retrieval David Carmel and Elad Yom-Tov 2010
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Information Retrieval Evaluation Donna Harman 2011
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Information Retrieval Models Foundations and Relationships Thomas Roelleke 2013
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Learning to Rank for Information Retrieval and Natural Language Processing Second Edition Hang Li 2015
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A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg 2016
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Chapter 8 Classical Models of Neural Networks Author Unknown 2018
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Cross Lingual Information Retrieval Graeme Hirst 2010
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Title (link) Author Date Votes Error Reviews
5 Tasty Python Web Scraping Libraries Author Unknown 2017
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Highlights of EMNLP 2017: Exciting Datasets, Return of the Clusters, and More! Sebastian Ruder 2017
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Torchtext Author Unknown 2017
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FreeDiscovery: E-Discovery and Information Retrieval Engine FreeDiscovery 2017
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Understanding Hinton's Capsule Networks. Part 1: Intuition Max Pechyonkin 2017
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Feature Visualization Chris Olah, Alexander Mordvintsev, Ludwig Schubert 2017
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Generative Adversarial Networks - History and Overview Kiran Sudhir 2017
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What does Deep Learning Contribute to Search Tommaso Teofili 2018
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Web Scraping Tutorial with Python: Tips and Tricks Jekaterina Kokatjuhha 2018
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The Building Blocks of Interpretability Chris Olah 2018
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Uncovering the Intuition behind Capsule Networks and Inverse Graphics: Part I Tanay Kothari 2017
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Topic Modelling in Python with NLTK and Gensim Susan Li 2018
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Under The Hood of Neural Networks. Part 1: Fully Connected. Andrey Sakryukin 2018
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An Introduction to Graph Theory and Network Analysis (with Python codes) Guest Blog 2018
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Beam Search?—?A Search Strategy Prakhar Mishra 2018
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Building a Content-Based Search Engine I: Quantifying Similarity Daniel Sabinasz 2018
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Building a Content-Based Search Engine II: Extracting Feature Vectors Daniel Sabinasz 2018
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Building a Content-Based Search Engine III: Feature Signatures Daniel Sabinasz 2018
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Building a Content-Based Search Engine IV: Earth Mover’s Distance Daniel Sabinasz 2018
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