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Chris McCormick · Machine Learning Tutorials and Insights

Word2Vec Tutorial Part 2 - Negative Sampling. In part 2 of the word2vec tutorial, I’ll cover a few additional modifications to the basic skip-gram model which are important for actually making it feasible to train. DBSCAN is a popular clustering algorithm which is fundamentally very different from k-means. Interpreting LSI Document Similarity. In this post I’m sharing a technique I’ve found for showing which words in a piece of text. Word2Vec Tutorial - The Skip-Gram Model.

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Chris McCormick · Machine Learning Tutorials and Insights | mccormickml.com Reviews

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Word2Vec Tutorial Part 2 - Negative Sampling. In part 2 of the word2vec tutorial, I’ll cover a few additional modifications to the basic skip-gram model which are important for actually making it feasible to train. DBSCAN is a popular clustering algorithm which is fundamentally very different from k-means. Interpreting LSI Document Similarity. In this post I’m sharing a technique I’ve found for showing which words in a piece of text. Word2Vec Tutorial - The Skip-Gram Model.

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Chris McCormick · Machine Learning Tutorials and Insights | mccormickml.com Reviews

https://mccormickml.com

Word2Vec Tutorial Part 2 - Negative Sampling. In part 2 of the word2vec tutorial, I’ll cover a few additional modifications to the basic skip-gram model which are important for actually making it feasible to train. DBSCAN is a popular clustering algorithm which is fundamentally very different from k-means. Interpreting LSI Document Similarity. In this post I’m sharing a technique I’ve found for showing which words in a piece of text. Word2Vec Tutorial - The Skip-Gram Model.

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Tutorials · Chris McCormick

http://mccormickml.com/tutorials

Radial Basis Function Networks. I’ve written a number of posts related to Radial Basis Function Networks. Together, they can be taken as a multi-part tutorial to RBFNs. Part 1 - RBFN Basics, RBFNs for Classification. Part 2 - RBFN Example Code in Matlab. Part 3 - RBFN for function approximation. Histograms of Oriented Gradients (HOG). My tutorial and Matlab code on the HOG descriptor are easily one of the most popular items on my site. HOG Person Detector Tutorial. HOG Descriptor Matlab Code.

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About · Chris McCormick

http://mccormickml.com/about

I’m a software and research engineer currently working for a startup named in2H2. At in2H2, we are developing a unique hardware architecture for accelerating data mining algorithms that are based on distance calculations (such as Euclidean distance or Cosine distance). Specifically, we are targeting performance-constrained applications of k-Nearest Neighbor search and clustering algorithms such as k-Means. BS Electrical Engineering, Stanford University. Embedded Software Engineer, Texas Instruments.

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Interpreting LSI Document Similarity · Chris McCormick

http://mccormickml.com/2016/11/04/interpreting-lsi-document-similarity

Interpreting LSI Document Similarity. In this post I’m sharing a technique I’ve found for showing which words in a piece of text. To its similarity with another piece of text when using Latent Semantic Indexing (LSI) to represent the two documents. This has proven valuable to me in debugging bad search results from concept search using LSI. You’ll find the equations for the technique as well as example Python code. My Fun NLP Project. I’m basing the project on the awesome topic modeling package. Turns ou...

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Chris McCormick · Machine Learning Tutorials and Insights

http://mccormickml.com/page2

While researching Word2Vec, I came across a lot of different resources of varying usefullness, so I thought I’d share my collection of links and notes on what they contain. Word2Vec Tutorial - The Skip-Gram Model. Google's trained Word2Vec model in Python. In this post I’m going to describe how to get Google’s. Word2Vec model up and running in Python to play with. Latent Semantic Analysis (LSA) for Text Classification Tutorial. Jeff Dean Keynote at GTC 2015.

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Word2Vec Tutorial Part 2 - Negative Sampling · Chris McCormick

http://mccormickml.com/2017/01/11/word2vec-tutorial-part-2-negative-sampling

Word2Vec Tutorial Part 2 - Negative Sampling. In part 2 of the word2vec tutorial (here’s part 1. I’ll cover a few additional modifications to the basic skip-gram model which are important for actually making it feasible to train. When you read the tutorial on the skip-gram model for Word2Vec, you may have noticed something it’s a huge neural network! The authors of Word2Vec addressed these issues in their second paper. There are three innovations in this second paper:. It’s worth noting that subsampling ...

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Chris McCormick · Machine Learning Tutorials and Insights

Word2Vec Tutorial Part 2 - Negative Sampling. In part 2 of the word2vec tutorial, I’ll cover a few additional modifications to the basic skip-gram model which are important for actually making it feasible to train. DBSCAN is a popular clustering algorithm which is fundamentally very different from k-means. Interpreting LSI Document Similarity. In this post I’m sharing a technique I’ve found for showing which words in a piece of text. Word2Vec Tutorial - The Skip-Gram Model.

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When to use a QR Code and When to use SMS Text Messaging. July 8, 2011 by mccormickmobilemedia. QR Codes are seeing huge growth in 2011 and are a great compliment to a mobile campaign when used properly. The most common question I get is “when should I use a QR code and when should I use SMS Text Messaging? When to use QR Codes? When to use SMS Text Messaging? For more information on SMS Text, QR Codes, and Mobile Web. Http:/ www.mccormickmobilemedia.com. Posted in SMS Text Messaging and Mobile Web.

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