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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

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

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

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

L.V. has not received any gifts yet

Dr Wilson Adejo commented on L.V.'s blog post Data scientist paid $500k can barely code!

"In as much as I support the ability of data scientist to know how to code very well, I have seen many that are doing excellent job with software such as SPSS, Rapidminer and Weka which do not require any element of coding except…"

Feb 22

Vikrant Choudhary replied to L.V.'s discussion Java versus Python

"I feel this is not the way it can be compared.. I know both and found effective in their respective fields."

Nov 29, 2018

Percy Herrera liked L.V.'s blog post 11 Important Model Evaluation Techniques Everyone Should Know

Nov 4, 2018

Julia Kravchenko replied to L.V.'s discussion What pays most: R, Python, or SQL?

"As for 2018, we've got the following figures in our salary report:Python developer in the USA gets around $160,000 (senior position) while junior specialists earn $87,000.
If we talk about UK, annual salaries will be: junior…"

Oct 23, 2018

Frederick T Williams liked L.V.'s blog post Deep Learning Networks: Advantages of ReLU over Sigmoid Function

Oct 15, 2018

L.V. posted a blog post### Deep Learning Networks: Advantages of ReLU over Sigmoid Function

This was posted as a question on StackExchange. The state of the art of non-linearity is to use rectified linear units (ReLU) instead of sigmoid function in deep neural network. What are the advantages? I know that training a network when ReLU is used would be faster, and it is more biological inspired, what are the other advantages? (That is, any disadvantages of using sigmoid)?…See More

Oct 14, 2018

L.V.'s blog post was featured### Deep Learning Networks: Advantages of ReLU over Sigmoid Function

This was posted as a question on StackExchange. The state of the art of non-linearity is to use rectified linear units (ReLU) instead of sigmoid function in deep neural network. What are the advantages? I know that training a network when ReLU is used would be faster, and it is more biological inspired, what are the other advantages? (That is, any disadvantages of using sigmoid)?…See More

Oct 14, 2018

Mankovskaya replied to L.V.'s discussion What pays most: R, Python, or SQL?

"The salaries definitely depend on the state you live in and additional skills you possess. Quick example, while living in San Francisco Python developers can earn approx $137,389 per year, but in New York it will be $130,517. …"

Sep 13, 2018

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Posted on October 11, 2018 at 6:00pm 0 Comments 1 Like

This was posted as a question on StackExchange. The state of the art of non-linearity is to use rectified linear units (ReLU) instead of sigmoid function in deep neural network. What are the advantages? I know that training a network when ReLU is used would be faster, and it is more biological inspired, what are the other advantages? (That is, any disadvantages of using sigmoid)?…

ContinuePosted 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…

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

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…

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