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August 2018 Blog Posts (93)

Using Multi-Layer Recurrent Neural Network for language models

Here is another example of how to use Multi-Layer Recurrent Neural Network (RNN package) designed for character-level language models. This neural network was trained using 165,000+ real titles of acts submitted to the Congress from CONGRESS.GOV. The training was performed using GPU. Then the trained RNN was used to create "fake" titles. Use this link to find…

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Added by jwork.ORG on August 17, 2018 at 4:29pm — No Comments

Challenges of working with clinical free-text data: A brief note

Clinical free-text mining

Working with clinical free-text data is not trivial due to several challenges [1]. A minor spelling error can cause a huge difference in meaning; for instance, “Ilium” refers to “the broad, flaring portion of the hip bone, distinct at birth but later becoming fused with the ischium and pubis” [2], whereas “Ileum” represent the “the third and longest portion of the small…

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Added by Anis Sharafoddini on August 17, 2018 at 7:22am — No Comments

Soft Skills Every Data Scientist Must Possess

It is very easy to assume that Data Scientists are highly technical people. Ones who invest all their intellect into interpreting data, concluding smart insights, and offering strategies accordingly. However, this assumption is quite quick to make and presents an incomplete image of any Data Scientist.

Due to such assumptions, many people, even recruiters, only focus on the hard skills of Data Scientists. In reality, a good Data Scientist also possesses the right combination of hard…

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Added by VAMSI NELLUTLA on August 17, 2018 at 6:23am — 2 Comments

Practical Apache Spark in 10 minutes. Part 6 - GraphX

In our last post, we explained the basics of streaming with Spark. Today, we want to talk about graphs and explore …

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Added by Igor Bobriakov on August 17, 2018 at 1:00am — No Comments

Programming Languages for Data Science and ML - With Source Code Illustrations

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,…

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Added by Vincent Granville on August 16, 2018 at 2:30pm — 1 Comment

Solving Some Image Processing Problems with Python libraries - Part 3

In this article a few more popular image processing problems along with their solutions are going to be discussed. Python image processing libraries are going to be used to solve these problems.

Histogram Matching with color images

As described here, here is the algorithm:

  1. The cumulative histogram is computed for each image dataset, see the figure below.
  2. For any…
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Added by Sandipan Dey on August 16, 2018 at 1:30pm — No Comments

Solving Some Image Processing Problems with Python libraries - Part 2

In this article a few more popular image processing problems along with their solutions are going to be discussed. Python image processing libraries are going to be used to solve these problems.

Some Applications of DFT 

0. Fourier Transform of a Gaussian Kernel is another Gaussian Kernel

Also, the spread in the frequency domain  inversely proportional to the spread in the spatial domain. Here is the proof:…

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Added by Sandipan Dey on August 16, 2018 at 1:00pm — No Comments

Solving Some Image Processing Problems with Python libraries - Part 1

In this article a few popular image processing problems along with their solutions are going to be discussed. Python image processing libraries are going to be used to solve these problems.

 

Image Transformations and Warping

 

0. Display RGB image color channels in 3D

  1. A gray-scale image can be thought of a 2-D function f(x,y) of the pixel…
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Added by Sandipan Dey on August 16, 2018 at 1:00pm — No Comments

How to setup a Data Science function for your organisation

This article will provide a high level understanding of effective ways to set up a data science function in 3 types of organisations: (1) Startups, (2)…

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Added by Fahad Zaidi on August 16, 2018 at 11:00am — 3 Comments

Thursday News: ML, CNN vs RNN, AI, GDPR, Dataviz, Sport Analytics, and more

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

Resources (Technical):

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Added by Vincent Granville on August 16, 2018 at 8:30am — No Comments

Comparison of the Top Cloud APIs for Computer Vision

What is computer vision?

Nowadays, computer vision (CV) is one of the most widely used dimensions of machine learning. The main task of computer vision is to understand the contents of the image. It is used almost in all spheres of…

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Added by Igor Bobriakov on August 16, 2018 at 1:02am — No Comments

Statistical Tests - When to use Which ?

For a person being from a non-statistical background the most confusing aspect of statistics, are always the fundamental statistical tests, and when to use which. This blog post is an attempt to mark out the difference between the most…

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Added by Vibhor Nigam on August 15, 2018 at 10:30pm — 1 Comment

Learn How to Code and Deploy Machine Learning Models on Spark Structured Streaming

This post is a token of appreciation for the amazing open source community of Data Science, to which I owe a lot of what I have learned.

For last few months, I have been working on a side project of mine to develop machine learning application on streaming data. It was a great learning…

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Added by Vibhor Nigam on August 15, 2018 at 10:27pm — No Comments

General Myths to avoid in Data Science and Machine Learning

What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even people in leadership positions, this is a question which is puzzling everyone in its own way.

For beginners…

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Added by Vibhor Nigam on August 15, 2018 at 7:30pm — 1 Comment

AI intervenes to bring down suicide rates

While a reliable method to accurately identify suicidal patients is missing from medical literature, researchers…

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Added by Deena Zaidi on August 15, 2018 at 6:42pm — No Comments

Neural Networks from a Bayesian Perspective

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Added by Yoel Zeldes on August 15, 2018 at 10:30am — No Comments

How Can You Find The Best Machine Learning Frameworks?

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Added by Pratik Kanada on August 15, 2018 at 4:01am — No Comments

A Little College Sports Analysis, but First a Little Data Wrangling

I'm a big college sports fan, especially active in debates about which D1 conference is best. Five years ago, I came across the Learfield Directors' Cup, an annual evaluation/ranking program of college sports performance based on hard numbers. In separate rankings, Division I,II, and…

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Added by steve miller on August 14, 2018 at 12:35pm — No Comments

Combining CNNs and RNNs – Crazy or Genius?

Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this.  However, the latest trends in CNNs may make this obsolete.

 

There are things that just don’t seem to go together.  Take oil and water for instance.  Both valuable, but try putting…

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Added by William Vorhies on August 14, 2018 at 7:34am — 3 Comments

Off-the-beaten-path Data Science Problem

It is more than just a problem, rather a project, possibly even a long-term one for expert data scientists and/or mathematicians, if you want to make a significant contribution towards a great solution. Yet it is also a nice project for beginners, mostly involving exploratory data analysis on the largest data set ever created, using various machine learning techniques, to hone your data science expertise.

The data set contains an infinite number of observations (all the real numbers),…

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Added by Vincent Granville on August 14, 2018 at 3:30am — No Comments

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