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Vincent Granville's Blog (1,292)

Data Science Central Thursday Digest, March 21

You will find here our selection of featured articles and resources posted since Monday. 

Resources and Tutorials

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Added by Vincent Granville on March 21, 2019 at 10:00am — No Comments

Fascinating New Results in the Theory of Randomness

I present here some innovative results from my most recent research on stochastic processes. chaos modeling, and dynamical systems, with applications to Fintech, cryptography, number theory, and random number generators. While covering advanced topics, this article is accessible to professionals with limited knowledge in statistical or mathematical theory. It introduces new material not covered in my recent book (available …

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Added by Vincent Granville on March 20, 2019 at 6:00pm — No Comments

Data Science Central Weekly Digest, March 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. To subscribe, follow this link.  

Featured Resources and Technical…

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Added by Vincent Granville on March 17, 2019 at 7:30am — No Comments

15 Great Articles about Bayesian Methods and Networks

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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Added by Vincent Granville on March 15, 2019 at 6:30am — No Comments

Thursday News: Chatbots, AutoML, RNN, Blockchain, EM Algorithm, Clustering

Here is our list of featured articles and technical resources posted since Monday. The picture is from the article flagged with a +.

Resources and Forum Questions

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Added by Vincent Granville on March 14, 2019 at 9:30am — No Comments

How to Automatically Determine the Number of Clusters in your Data - and more

Determining the number of clusters when performing unsupervised clustering is a tricky problem. Many data sets don't exhibit well separated clusters, and two human beings asked to visually tell the number of clusters by looking at a chart, are likely to provide two different answers. Sometimes clusters overlap with each other, and large clusters contain sub-clusters, making a decision not easy.

For instance, how many clusters do you see in the picture below? What is the optimum number…

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Added by Vincent Granville on March 13, 2019 at 2:30pm — 4 Comments

Data Science Central Weekly Digest, March 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. To subscribe, follow this link.  

Featured Resources and Technical…

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Added by Vincent Granville on March 10, 2019 at 7:00am — No Comments

Thursday News: AI, Stats, ML, Data Science Wizardry, Python, Image Recognition, Case Study

Here is our selection of featured articles and resources posted since Monday:

Technical Resources

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Added by Vincent Granville on March 7, 2019 at 10:30am — No Comments

Time series, Growth Modeling and Data Science Wizardy

Many times, complex models are not enough (or too heavy), or not necessary, to get great, robust, sustainable insights out of data. Deep analytical thinking may prove more useful, and can be done by people not necessarily trained in data science, even by people with limited coding experience. Here we explore what we mean by deep analytical thinking, using a case study, and how it works: combining craftsmanship, business acumen, the use and creation of tricks and rules of thumb, to provide…

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Added by Vincent Granville on March 7, 2019 at 8:30am — No Comments

17 Great ML Books and Funny Pictures

The following resources and books were hand-picked, and curated by one of our interns. They cover many topics of interest to data scientists, and most are relatively recent (last 12 months.)

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Added by Vincent Granville on March 5, 2019 at 10:00am — No Comments

33 Statistical Concepts Explained in Simple English - Part 10

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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Added by Vincent Granville on March 5, 2019 at 7:30am — No Comments

Weekly Digest, March 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. To subscribe, follow this…

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Added by Vincent Granville on March 3, 2019 at 9:30am — No Comments

Thursday News: AI, Blockchain, Cheat Sheets, NLP, Visu, Deep Learning, Tutorials

Here is our selection of featured articles and technical resources posted since Monday:

Resources

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Added by Vincent Granville on February 28, 2019 at 12:30pm — No Comments

Weekly Digest, February 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. To subscribe, follow this…

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Added by Vincent Granville on February 24, 2019 at 8:30am — No Comments

New Perspectives on Statistical Distributions and Deep Learning

In this data science article, emphasis is on science, not just on data. State-of-the art material is presented in simple English, from multiple perspectives: applications, theoretical research asking more questions than it answers, scientific computing, machine learning, and algorithms. I attempt here to lay the foundations of a new statistical technology, hoping that it will plant the seeds for further research on a topic with a broad range of potential applications. It is based on…

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Added by Vincent Granville on February 22, 2019 at 9:30am — 2 Comments

19 Great Articles About Natural Language Processing (NLP)

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 many more. To keep receiving these articles, …

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Added by Vincent Granville on February 21, 2019 at 5:30pm — 2 Comments

Thursday News: AI, Python, Tests of Hypothesis, Neural Networks, Training, Image Recognition ...

Here is our selection of featured articles and technical resources posted since Monday:

Resources

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Added by Vincent Granville on February 21, 2019 at 12:30pm — No Comments

How to Stabilize Data Systems, to Avoid Decay in Model Performance

Here we describe a simple methodology to produce predictive scores that are consistent over time and compatible across various clients, to allow for meaningful comparisons and consistency in actions resulting from these scores, such as offering a loan. Scores are used in various contexts, such as web page rankings in search engines, credit score, risk score attached to loans or credit card transactions, the risk that someone might become a terrorist, and more. Typically a score is a function…

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Added by Vincent Granville on February 18, 2019 at 9:30pm — No Comments

Should you Add your Coursera, Udacity, or DataCamp Training to your Resume?

It all depends on the classes that you attended. Some are worth listing, some are best not to mention. Here I review of few of these data science curricula, and the impression it can make on hiring managers, depending on your profile, work experience, and strength (or lack of) of these programs.

Three…

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Added by Vincent Granville on February 18, 2019 at 8:30am — 1 Comment

Weekly Digest, February 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. To subscribe, follow this link.  

Announcement…

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Added by Vincent Granville on February 17, 2019 at 9:30am — No Comments

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