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Amelia Matteson's Blog (60)

Why Every Data Scientist Needs A Data Engineer

This article was written by Lauren Brunk.

The data scientist was deemed the “sexiest job of the 21st century.” The Harvard Business Review reasons that this “hybrid of data hacker, analyst, communicator and trusted adviser” is a rare combination of skills, worth a high paycheck.…

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Added by Amelia Matteson on June 27, 2018 at 2:00pm — No Comments

Introduction to Markov Chains

This article was written by Devin Soni

What are Markov chains, when to use them, and how they work …

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Added by Amelia Matteson on June 27, 2018 at 1:30pm — No Comments

Google's Knowledge Graph Identifies your Medical Symptoms

This article was written by Lance Whitney.

An update to Google's mobile app and website lets you search for symptoms and receive a list of possible conditions and other details. You can now ask Google to help diagnose what ails you.…

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Added by Amelia Matteson on March 26, 2018 at 11:00am — No Comments

Password Sharing Is a Federal Crime, Appeals Court Rules

This article was written by Jason Koebler.

Sharing your Netflix or HBO password technically violates one of America's worst tech laws, the Ninth Circuit has ruled.

One of the nation's most powerful appeals courts ruled Wednesday that sharing passwords can be a…

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Added by Amelia Matteson on March 26, 2018 at 11:00am — 1 Comment

Animated Maps Illustrate the Hell of Bay Area Commuting

This article was written by Greg Miller.

Your…

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Added by Amelia Matteson on March 26, 2018 at 10:30am — No Comments

A new kind of pooling layer for faster and sharper convergence

This article was written by Sahil Singla.

Introduction:…

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Added by Amelia Matteson on February 20, 2018 at 5:30pm — No Comments

The Concept of Datafication; Definition & Examples

This article was written by Margarita Shilova.

Datafication is a buzzword of the last several years, that is used actively along Big Data industry. Honestly, if you would search the term ‘datafication’ on the internet you probably won’t find that much relative information about it, yet it is a word we are…

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Added by Amelia Matteson on February 6, 2018 at 6:30pm — No Comments

Curve Fitting using Linear and Nonlinear Regression

This article was written by Jim Frost.

In regression analysis, curve fitting is the process of specifying the model that provides the best fit to the specific curves in your dataset. Curved relationships between variables are not as straightforward to fit and interpret as linear relationships.…

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Added by Amelia Matteson on February 6, 2018 at 6:00pm — 1 Comment

Python Data Science Handbook- An essential handbook for Python enthusiasts

This article was written by Prakarsh Saxena

Python Data Science Handbook

In a world where each of us is surrounded by data and its insights, Data Science does seem a promising field of work and research to many. Although there are many books and courses which help us dive into the area right from the scratch, it is also essential for the adepts to have a separate…

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Added by Amelia Matteson on January 20, 2018 at 1:30pm — No Comments

The DeepMind Strategy - How AI is Revolutionizing Business Models

This article was written by Francesco Corea.

Image Credit: …

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Added by Amelia Matteson on January 11, 2018 at 2:30pm — No Comments

Limits of Linear Models for Forecasting

This article was written by Blaine Bateman

In this post, I will demonstrate the use of nonlinear models for time series analysis, and contrast to linear models. I will use a (simulated) noisy and nonlinear time series of sales data, use multiple linear regression and a small neural network to fit training data, then predict 90 days forward.  I implemented all of this in R, although it could be done in a number of…

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Added by Amelia Matteson on January 5, 2018 at 12:30pm — No Comments

Extreme Event Forecasting at Uber - with Recurrent Neural Networks

This article is by Nikolay Laptev, Slawek Smyl, and Santhosh Shanmugam.

At Uber, event forecasting enables us to future-proof our services based on anticipated user demand. The goal is to accurately predict where, when, and how many ride requests Uber will receive at any given time.

Extreme events—peak travel times such as holidays, concerts, inclement weather,…

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Added by Amelia Matteson on December 31, 2017 at 12:00pm — No Comments

PCA with Rubner-Tavan Networks

This article is written by Giuseppe Bonaccorso.

One of the most interesting effects of PCA (Principal Component Analysis) is to decorrelate the input covariance matrix C, by computing the eigenvectors and operating a base change using a matrix V:…

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Added by Amelia Matteson on December 23, 2017 at 12:00pm — No Comments

Microsoft CNTK Tutorial: Build a Neural Network with Python

This article was written by Andy at Adventures in Deep Learning.

Fully connected neural network example…

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Added by Amelia Matteson on December 23, 2017 at 12:00pm — No Comments

Standard Error of the Regression vs. R-squared

This article was written by Jim Frost.

The standard error of the regression (S) and R-squared are two key goodness-of-fit measures for regression analysis. While R-squared is the most well-known amongst the goodness-of-fit statistics, I think it is a bit over-hyped.…

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Added by Amelia Matteson on December 20, 2017 at 1:30pm — 1 Comment

Time Series Analysis with Generalized Additive Models

This article is by Algobeans.com 

Whenever you spot a trend plotted against time, you would be looking at a time series. The de facto choice for studying financial market performance and weather forecasts, time series are one of the most pervasive analysis techniques because of its inextricable relation to…

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Added by Amelia Matteson on December 8, 2017 at 1:00pm — No Comments

Benefits and use cases for blockchain in banking

This article comes from Consultancy.uk

Blockchain, while still relatively new to the financial space, is seeing interest from around 90% of banking sector executives, according to a new study on the potential of the technology in the industry. 40% of banks find themselves still at the exploration phase, while around 30% are pursuing proof of concepts. Intra-bank cross-border transactions are regarded as the most…

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Added by Amelia Matteson on December 7, 2017 at 12:30pm — No Comments

One-shot Learning with Memory-Augmented Neural Networks

This article comes from Rylan Schaeffer Github.

I've found that the overwhelming majority of online information on artificial intelligence research falls into one of two categories: the first is aimed at explaining advances to lay audiences, and the second is aimed at explaining advances to other researchers. I haven't found a good resource…

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Added by Amelia Matteson on December 6, 2017 at 11:00am — No Comments

RNNoise: Learning Noise Suppression with Deep Learning

This article was written by Jean-Marc Valin.

This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time noise suppression algorithm that's small and fast. No expensive GPUs required — it runs easily on a Raspberry Pi. The result is much simpler (easier to tune) and sounds…

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Added by Amelia Matteson on November 26, 2017 at 12:30pm — No Comments

Implementing a Neural Network from Scratch in Python – An Introduction

This article was written by Denny Britz.

In this post we will implement a simple 3-layer neural network from scratch. We won’t derive all the math that’s required, but I will try to give an intuitive explanation of what we are doing. I will also point to resources for you read up on the details.

Here I’m…

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Added by Amelia Matteson on November 24, 2017 at 10:00am — No Comments

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