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L.V.'s Discussions

Question about connected cars

Started this discussion. Last reply by Page Schorer May 19, 2016. 1 Reply

With automated cars communicating with each other (machine-to-machine communications - thus the word connected cars), could we envision the following futurist scenario:Cars exchange their…Continue

Book: Deep Learning With Python

Started this discussion. Last reply by Patrick J. Hagan Jun 30, 2016. 1 Reply

From First Model, To State-of-the-Art ResultsDeep learning is the most interesting and powerful machine learning technique right now.Top deep learning libraries are available on the Python ecosystem…Continue

Kaggle Releases Data Sets About Global Warming: Make your own Predictions

Started Apr 13, 2016 0 Replies

Analyze the data, make your own conclusions about global warming and climate change (especially predictions), and post your results in the comment section below: this article will be featured and…Continue

Book: Mastering Python for Data Science

Started this discussion. Last reply by Patrick J. Hagan Jun 30, 2016. 1 Reply

About This BookMaster data science methods using Python and its librariesCreate data visualizations and mine for patternsAdvanced techniques for the four fundamentals of Data Science with Python -…Continue

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Dimas Cabré i Chacón commented on L.V.'s blog post Deep Learning: AlphaGo Zero Explained In One Picture
"Very good and nice diagram. I have some problems reading it because it doesn't scale well. Do you think you could produce an higher resolution picture or in another format better suited to scale?"
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Jason Maskell liked L.V.'s discussion Are you smart enough to work at Google?
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Jim Porzak replied to L.V.'s discussion 1.5 TB dataset of anonymized user interactions released by Yahoo
"Actually it was used in a Stanford class a couple of years ago. Data link: http://sing.stanford.edu/cs303-sp10/assignments/user-ct-test-collection-01.zip Readme…"
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Hassan Salloum liked L.V.'s blog post Deep Learning Cheat Sheet (using Python Libraries)
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Matt Sandy replied to L.V.'s discussion What pays most: R, Python, or SQL?
"SQL salaries are going to reflect business salaries, R salaries are going to reflect academic salaries. Python gets used all over the place, and is being used for machine learning toward customer segmentation. There definitely needs to be subsets…"
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L.V.'s Blog

Deep Learning: AlphaGo Zero Explained In One Picture

Posted on January 4, 2018 at 6:00pm 1 Comment

Recently Google DeepMind announced AlphaGo Zero — an extraordinary achievement that has shown how it is possible to train an agent to a superhuman level in the highly complex and challenging domain of Go, ‘tabula rasa’ — that is, from a blank slate, with no human expert play used as training data.

It thrashed the previous reincarnation 100–0, using only 4TPUs instead of 48TPUs and a single…

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Choosing the Correct Type of Regression Analysis

Posted on January 4, 2018 at 6:00pm 0 Comments

Guest blog by Jim Frost.

Regression analysis mathematically…

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Book: Machine Learning: a Probabilistic Perspective

Posted on November 15, 2017 at 6:00pm 1 Comment

Today’s Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. 



The coverage combines breadth and depth, offering necessary…

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Handbook of Statistical Analysis and Data Mining Applications - 2nd Edition

Posted on November 15, 2017 at 6:00pm 0 Comments

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for…

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