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The Bit Plumber

Thursday, December 22, 2016. Jumping into Spark (JIS): Python / Spark / Logistic Regression (Update 1). In this blog we will use the Python interface to Spark to determine whether or not someone makes more or less than $50,000. The logistic regression model will be used to make this determination. Please note that no prior knowledge of Python, Spark or logistic regression is required. However, it is assumed that you are a seasoned software developer. Yes, there is Spark's Quick Start. As mentioned earlie...

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Thursday, December 22, 2016. Jumping into Spark (JIS): Python / Spark / Logistic Regression (Update 1). In this blog we will use the Python interface to Spark to determine whether or not someone makes more or less than $50,000. The logistic regression model will be used to make this determination. Please note that no prior knowledge of Python, Spark or logistic regression is required. However, it is assumed that you are a seasoned software developer. Yes, there is Spark's Quick Start. As mentioned earlie...

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The Bit Plumber | rlucente.blogspot.com Reviews

https://rlucente.blogspot.com

Thursday, December 22, 2016. Jumping into Spark (JIS): Python / Spark / Logistic Regression (Update 1). In this blog we will use the Python interface to Spark to determine whether or not someone makes more or less than $50,000. The logistic regression model will be used to make this determination. Please note that no prior knowledge of Python, Spark or logistic regression is required. However, it is assumed that you are a seasoned software developer. Yes, there is Spark's Quick Start. As mentioned earlie...

INTERNAL PAGES

rlucente.blogspot.com

1

The Bit Plumber: Quantifying the Efficacy of Machine Learning Algorithms

http://rlucente.blogspot.com/2015/06/quantifying-efficacy-of-machine.html

Sunday, June 7, 2015. Quantifying the Efficacy of Machine Learning Algorithms. There are many articles and books and talks and so on all making claims about machine learning algorithms. Out of those, how many actually QUANTIFY THE EFFICACY OF THE ALGORITHM. Below are some references which will hopefully save people some leg work and help others quantify the performance of their algorithms. Building and deploying large-scale machine learning pipelines by Ben Lorica. Evaluation of Classifiers by Jin Tian.

2

The Bit Plumber: Gentle Introduction to Various Math Stuff

http://rlucente.blogspot.com/2016/02/gentle-introduction-to-various-math.html

Saturday, February 27, 2016. Gentle Introduction to Various Math Stuff. I recently attended a meetup. In Pittsburgh titled Analytics of Social Progress: When Machine Learning meets Human Problems. Given by Amy Hepner. She did an outstanding job of introducing some math concepts very simply and intuitively. If you are interested in the slides showing how she did this, you can go to her web site by clicking here. For links to the book themselves, see the list below. To Statistics by Shin Takahashi. Probabi...

3

The Bit Plumber: August 2014

http://rlucente.blogspot.com/2014_08_01_archive.html

Friday, August 22, 2014. Generate All Permutations - Heap Algorithm. A common problem that shows up often is to generate all the possible permutations for a set of things. Here permutation is being used in the strict mathematical sense. For example, all the permutations of [ 1, 2, 3 ] are. Notice that the above results in 6 possibilities. This corresponds to 3 x 2 x 1 = 3! Luckly, we can avoid nested loops by using the Heap algorithm. The original paper Permutations by Interchanges by B. R. H...Unfortuna...

4

The Bit Plumber: September 2014

http://rlucente.blogspot.com/2014_09_01_archive.html

Monday, September 29, 2014. Simulated Annealing (SA) for Mathematical Optimization. Lately, I have been having conversations with various people regarding simulated annealing (SA). I thought that it would be helpful to put all the references in 1 spot. I am not an expert in the subject. I am just trying to become part of the conversation. Below are some references for SA which you hopefully will find helpful. Annealing Algorithm by R.H.J.M Otten and L.P.P.P van Ginneken. Serial and Parallel Simulated Ann...

5

The Bit Plumber: February 2016

http://rlucente.blogspot.com/2016_02_01_archive.html

Saturday, February 27, 2016. Gentle Introduction to Various Math Stuff. I recently attended a meetup. In Pittsburgh titled Analytics of Social Progress: When Machine Learning meets Human Problems. Given by Amy Hepner. She did an outstanding job of introducing some math concepts very simply and intuitively. If you are interested in the slides showing how she did this, you can go to her web site by clicking here. For links to the book themselves, see the list below. To Statistics by Shin Takahashi. Probabi...

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The Bit Plumber

Thursday, December 22, 2016. Jumping into Spark (JIS): Python / Spark / Logistic Regression (Update 1). In this blog we will use the Python interface to Spark to determine whether or not someone makes more or less than $50,000. The logistic regression model will be used to make this determination. Please note that no prior knowledge of Python, Spark or logistic regression is required. However, it is assumed that you are a seasoned software developer. Yes, there is Spark's Quick Start. As mentioned earlie...

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