Carlos

202 Flips | 2 Magazines | 9 Likes | 1 Following | 3,133 Followers | @chzelada | Keep up with Carlos on Flipboard, a place to see the stories, photos, and updates that matter to you. Flipboard creates a personalized magazine full of everything, from world news to life’s great moments. Download Flipboard for free and search for “Carlos”

An Explanation of the Kalman Filter

In the past 3 months I've been trying to understand the Kalman Filter. I have tried to implement it, I have watched youtube tutorials, and read some …

Algorithms

R and Python are joining forces, in the most ambitious crossover event of the year—for programmers

Hadley Wickham is the most important developer for the programming language R. Wes McKinney is among the most important developers for programming language Python. The two languages, which are free to use, are often seen as competitors in the world of data science. Wickham and McKinney don’t think …

Data Science

Choosing the Right Metric for Evaluating Machine Learning Models  –  Part 1

Each machine learning model is trying to solve a problem with a different objective using a different dataset and hence, it is important to …

Machine Learning

Docker for DataScience — Part 1: As a Data Scientist or Data Engineer, do you need to start using Docker?

This blog was originally published at The AI Journal<p>If you are a Data Scientist, a Data Analyst or a Data Engineer, this post is about helping you …

Data Science

Build smart chat apps with Amazon machine learning APIs and the PubNub ChatEngine | Amazon Web Services

<i>This is a guest blog post by Adam Bavosa</i>, <i>Open Source Software Engineer at PubNub. In their own words, “PubNub is a leading provider of real-time APIs</i> …

Cloud Computing

The Many Faces of R

Some days I see R as an eclectic programming language preferred by scientists.“Programming languages as people.” From Leftover Salad (David …

Programming Languages

Data Wrangling Part 3: Basic and more advanced ways to filter rows

This is the third blog post in a series of dplyr tutorials. In this post, we will cover how to filter your data. Apart from the basics of filtering, …

Python Programming

Creating a heat map of bivariate distribution.

On this small tutorial i´m going to show you how to create a heat map of a bivariate distribution using R.<p>For this tutorial we are going to use the …

Enhance Your Amazon Lex Chatbots with Responses | Amazon Web Services

You can now add responses to your Amazon Lex chatbots directly from the AWS Management Console. Use responses to set up dynamic, engaging …

Chatbots

Amazon SageMaker BlazingText: Parallelizing Word2Vec on Multiple CPUs or GPUs | Amazon Web Services

Today we’re launching Amazon SageMaker BlazingText as the latest built-in algorithm for Amazon SageMaker. BlazingText is an unsupervised learning …

Deep Learning

Building a FAQ Chatbot in Python – The Future of Information Searching

Introduction<p>What do we do when we need any information? Simple: “<i>We Ask, and Google Tells</i>”.<p>But if the answer depends on multiple variables, then the …

Transfer Learning: Leverage Insights from Big Data

In this tutorial, you’ll see what transfer learning is, what some of its applications are and why it is critical skill as a data scientist.

Machine Learning

Top 10 Best BI and Data Analytics Blogs on Our Reading List

BI and data analytics is one of the fastest-growing industries in the world, with IT leaders making it far-and-away the highest priority in …

Big Data

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia

Altmetric: 132<p>More detail<p>Article |<p>Open<p>Su-In Lee ORCID: orcid.org/0000-0001-5833-5215,<br>• Safiye Celik,<br>• Benjamin A. Logsdon ORCID: …

Written R/exams around the World

(This article was first published on <b> R/exams</b>, and kindly contributed to R-bloggers)How to internationalize exams2nops() by adding support for new …

Personal Data

How IBM builds an effective data science team

Data science is a team sport. This sentiment rings true not only with our experiences within IBM, but with our enterprise customers, who often ask us for advice on how to structure data science teams within their own organizations.<p>Before that can be done, however, it’s important to remember that …

Data Science

More Pipes in R

Was enjoying Gabriel’s article Pipes in R Tutorial For Beginners and wanted call attention to a few more pipes in R (not all for …

Tutorials

BOOST YOUR DATA WRANGLING WITH R

The R language is often perceived as a language for statisticians and data scientists. Quite a long time ago, this was mostly true. However, over the …

Try this! Researchers devise better recommendation algorithm

The recommendation systems at websites such as Amazon and Netflix use a technique called “collaborative filtering.” To determine what products a …

Machine Learning

Algorithm leverages Titan supercomputer to create high-performing deep neural networks

Deep neural networks—a form of artificial intelligence—have demonstrated mastery of tasks once thought uniquely human. Their triumphs have ranged …

Deep Learning

Changepoints

Is automatic detection of changepoints in timeseries good enough to focus human attention when reviewing large government reports that are released …

Differentiating Between Data Analyst and Data Scientist

Data Science has grown tremendously in this century that one has to search in which field it is not being used. Healthcare, cyber security, banking, …

The 20 data science projects at the core of every successful business

What do you get if you draw a map linking the thirteen key business functions…<p>Marketing, Customer Services, Sales, R&D, Purchasing, Production, …

New RStudio cheat sheet: Strings in R

The RStudio team has created another very useful cheat sheet for R: <i>Working with Strings</i>. This cheat sheet provides an example-laden menu of …

The Big Data Technology Landscape Cheat Sheet – Scroll Down to Opt-In Download

Just in case you’re new to “big data”, the topic can be broken into 3 main components. Those are: data engineering, analytics, and data science. …

Big Data

Rick and Morty and Tidy Data Principles (Part 2)

(This article was first published on <b>Pachá (Batteries Included)</b>, and kindly contributed to R-bloggers)<p>Motivation<p>The first part left an open door to …

The SeaClass R Package

Usage Instructions<p><b>Step 1.</b> Begin by loading and preparing your data in R. Some general advice:<p>Your data set must be saved as an R data frame …

Extending slackr

(This article was first published on <b>Rstats on Reproducible Random Thoughts</b>, and kindly contributed to R-bloggers)<p>The slackr package, by Bob Rudis, …

Run book Run! From physical paper to executable online books

Have you ever wanted to run the code samples while reading a book? Without having to first download the sample code, its runtime, and configure your …