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Vincent Granville's Blog – September 2017 Archive (20)

Weekly Digest, October 2

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcement

  • Leverage data to drive growth in your organization and career. …
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Added by Vincent Granville on September 30, 2017 at 10:30am — No Comments

27 Great Articles About Machine Learning Algorithms

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and…

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Added by Vincent Granville on September 28, 2017 at 3:30pm — 1 Comment

17 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 

18 Great Blogs Posted in the last 12…

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Added by Vincent Granville on September 26, 2017 at 9:19am — No Comments

Deep Learning versus Machine Learning in One Picture

I don't know who produced this image, but I've found it posted on the Deep Learning group on Facebook. Here we go:

For more articles on deep learning, click here. For other data science concepts…

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Added by Vincent Granville on September 25, 2017 at 5:30pm — 1 Comment

Weekly Digest, September 25

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcement

  • Use data to drive decisions—and your career. Advance your knowledge through…
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Added by Vincent Granville on September 23, 2017 at 9:00am — No Comments

Representation of Numbers with Incredibly Fast Converging Fractions

Here we discuss a new system to represent numbers, for instance constants such as Pi, e, or log 2, using rational fractions. Each iteration doubles the precision (the number of correct decimals computed) making it converging much faster than current systems such as continued fractions, to represent any positive real number. The algorithm discussed here is equivalent to the greedy algorithm to…

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Added by Vincent Granville on September 22, 2017 at 12:00pm — No Comments

Data Science Method to Discover Large Prime Numbers

Large prime numbers have been a topic of considerable research, for its own mathematical beauty, as well as to develop more powerful cryptographic applications and random number generators. In this article, we show how big data, statistical science (more specifically, pattern recognition) and the use of new efficient, distributed algorithms, could lead to an original research path to discover large primes. Here we also discuss new mathematical conjectures related to our…

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Added by Vincent Granville on September 20, 2017 at 10:00am — No Comments

Weekly Digest, September 18

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcements…

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Added by Vincent Granville on September 16, 2017 at 8:30am — No Comments

25 Timeless Data Science Articles

This is our third post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive (for instance we eliminated articles about data science products because software packages and platforms have evolved so much over the last few years) and we only kept articles that still make sense and are useful today. Our previous edition …

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Added by Vincent Granville on September 15, 2017 at 10:00am — 2 Comments

Thursday News: AI, IoT, Tensorflow, Machine Learning, K-NN, Data Science

Here is our selection of featured articles and resources posted since Monday. We had numerous high quality articles submitted this week!

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Added by Vincent Granville on September 14, 2017 at 8:00am — No Comments

The Slow Decline of Google Search

While many complain about Google's increased monopoly and control over our lives, in this article, I offer a different perspective regarding Google search. I will go as far as to claim that Google's influence (as a search engine) is declining. Not that their traffic share or revenue is shrinking, to the contrary, both are probably increasing. And Google is moving in many other directions business-wise: Search might have been their first, most used and most well-known product, but the future…

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Added by Vincent Granville on September 12, 2017 at 7:30pm — No Comments

Can you be sued for using the wrong data?

After Equifax's massive data breach - social security number, date of birth, and address from 143 million Americans stolen by cyber criminals - the question is: Can a financial institution be liable for using wrong Equifax data?

One would expect that this Equifax event will result in an increase in ID theft. Banks trust credit…

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Added by Vincent Granville on September 12, 2017 at 10:00am — No Comments

Weekly Digest, September 11

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcements

  • Parsons School of Design in NYC offers two 1-year master’s degree programs at the intersection of data and design. The Communication Design MPS covers advanced methods and skills for…
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Added by Vincent Granville on September 9, 2017 at 1:00pm — No Comments

18 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 

18 Great Blogs Posted in the last 12…

Continue

Added by Vincent Granville on September 7, 2017 at 4:30pm — No Comments

How to Train a Final Machine Learning Model

In this post, you discovered how to train a final machine learning model for operational use. You have overcome obstacles to finalizing your model, such as:

  • Understanding the goal of resampling procedures such as train-test splits and k-fold cross validation.
  • Model finalization as training a new model on all available data.
  • Separating the concern of estimating performance from finalizing the model.…

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Added by Vincent Granville on September 6, 2017 at 7:01am — No Comments

14 Great Articles About Cross-Validation, Model Fitting and Selection

Cross-validation is a technique used to assess the accuracy of a predictive model, based on training set data. It splits the training sets into  test and control sets. The test sets are used to fine-tune the model to increase performance (better classification rate or reduced errors in prediction) and the control sets are used to simulate how the model would perform outside the training set. The control and test sets must be carefully chosen for this method to make…

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Added by Vincent Granville on September 6, 2017 at 7:00am — No Comments

Weekly Digest, September 4

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Featured Resources and Technical Contributions

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Added by Vincent Granville on September 2, 2017 at 8:00am — No Comments

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