"Agree completely with William on this. It's the same in the UK, small companies will pay way less than large ones, and you're more likely to need to be a jack of all trades. Newcastle might pay a £25k salary for the same job that…"
L.V.'s Discussions
Question about connected cars
Started this discussion. Last reply by Page Schorer May 19, 2016. 1 Reply 0 Likes
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 4 Likes
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 0 Likes
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 5 Likes
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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Latest Activity
Linda Seltzer replied to L.V.'s discussion What pays most: R, Python, or SQL?"Is it easier and more efficient to use Matlab than all of the above. It can take weeks to do in Python what takes a couple of hours in Matlab."
William Nickson replied to L.V.'s discussion What pays most: R, Python, or SQL?"It depends on where you work. If you work for a small company it could be around 50k rupees per month in India. If you work for a tech giant like Google it could be around 100–150k rupees per month. You could also choose to make the next…"
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?"
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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L.V.'s Blog
Deep Learning: AlphaGo Zero Explained In One Picture
Posted on January 4, 2018 at 6:00pm 1 Comment 7 Likes
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…
Continue Choosing the Correct Type of Regression Analysis
Posted on January 4, 2018 at 6:00pm 0 Comments 3 Likes
Book: Machine Learning: a Probabilistic Perspective
Posted on November 15, 2017 at 6:00pm 1 Comment 4 Likes
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…
Handbook of Statistical Analysis and Data Mining Applications - 2nd Edition
Posted on November 15, 2017 at 6:00pm 0 Comments 3 Likes
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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