Data is big
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AlchemyAPI says it's delivering Google-level deep learning as a service

AlchemyAPI says it's delivering Google-level deep learning as a service | Data is big | Scoop.it
A Denver-based startup called AlchemyAPI is close to rolling out deep-learning-based image recognition via its API service.
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A Denver-based startup called AlchemyAPI is close to rolling out deep-learning-based image recognition via its API service. The company has made something of a name for itself in the text-analysis world, and it says it can do image recognition as well as Google.

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Data is big
&amp;amp;quot;The future is here. It's just not evenly distributed yet.&amp;amp;quot; - William Gibson     :::: Follow this topic for fresh resources and ideas related to Data Science, Machine Learning, Algorithms and #bigdata :::: <a href="http://www.dataisbig.co" rel="nofollow">http://www.dataisbig.co</a>/
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How to win a drone in 20 lines of R code

How to win a drone in 20 lines of R code | Data is big | Scoop.it
Or a less clickbaity title: Model based optimization of machine learning models with mlr and mlrMBO.

I recently participated in the #TEFDataChallenge a datathon organized by Wayra.
The first price was a drone for every team member, which is a pretty awesome price.

So what exactly is a datathon?

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These R packages import sports, weather, stock data and more

These R packages import sports, weather, stock data and more | Data is big | Scoop.it
Want to look at salary trends? Check a stock's price history? Look at the performance of your favorite sports team? Here's how to easily pull publicly available data into R.

Via M. Edward (Ed) Borasky, Rick Frank
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#Spark meets #rstats - Introducing #Sparklyr to bring the best of two worlds #datascience - R Addict Blog

#Spark meets #rstats - Introducing #Sparklyr to bring the best of two worlds #datascience - R Addict Blog | Data is big | Scoop.it
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Data Science Live Book

Data Science Live Book | Data is big | Scoop.it
Data Science Live Book







A book to learn data science, data analysis and machine learning, suitable for all ages!
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Why SQL is not for Analysis, but dplyr is — learn dplyr

Why SQL is not for Analysis, but dplyr is — learn dplyr | Data is big | Scoop.it
I keep meeting people who are starting out to learn SQL.
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DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations

Recent advances in clothes recognition have been driven by the construction of clothes datasets. Existing datasets
are limited in the amount of annotations and are difficult to cope with the various challenges in real-world applications. In this work, we introduce DeepFashion, a large-scale clothes dataset with comprehensive annotations. It contains over 800,000 images, which are richly annotated with massive attributes, clothing landmarks, and correspondence of images taken under different scenarios including store, street snapshot, and consumer. Such rich annotations enable the development of powerful algorithms in clothes recognition and facilitating future researches. To demonstrate the advantages of DeepFashion, we propose a new deep model, namely FashionNet, which learns clothing features by jointly predicting clothing attributes and landmarks. The estimated landmarks are then employed to pool or gate the learned features. It is optimized in an iterative manner. Extensive experiments demonstrate the effectiveness of FashionNet and the usefulness of DeepFashion.>
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Reinforcement Learning - Course

Reinforcement learning is a paradigm that aims to model the trial-and-error learning process that is needed in many problem situations where explicit instructive signals are not available. It has roots in operations research, behavioral psychology and AI. The goal of the course is to introduce the basic mathematical foundations of reinforcement learning, as well as highlight some of the recent directions of research.
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Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur

Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur | Data is big | Scoop.it
An average data scientist deals with loads of data daily. Some say over 60-70% time is spent in data cleaning, munging and bringing data to a suitable format such that machine learning models can b…
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How To Identify Patterns in Time Series Data: Time Series Analysis

How To Identify Patterns in Time Series Data: Time Series Analysis | Data is big | Scoop.it
In the following topics, we will first review techniques used to identify patterns in time series data (such as smoothing and curve fitting techniques and autocorrelations), then we will introduce a general class of models that can be used to represent time series data and generate predictions (autoregressive and moving average models). Finally, we will review some simple but commonly used modeling and forecasting techniques based on linear regression. For more information see the topics below.
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Data Science - all the fun stuff in one place

Data Analysis, Machine Learning, Python, Visualization, Stats, Tutorials, Blogs, Algorithms, etc. In short, all the fun stuff in one place!
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How an NBA Player's Performance Impacts Their Shoe Sales

How an NBA Player's Performance Impacts Their Shoe Sales | Data is big | Scoop.it
Being considered a star in today’s NBA is quite possibly the only thing that matters to players. Star players have the luxury of financial security, fame and notoriety, and sway.
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Deep Learning Summer School, Montreal 2016 - VideoLectures - VideoLectures.NET

Deep Learning Summer School, Montreal 2016 - VideoLectures - VideoLectures.NET | Data is big | Scoop.it
Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations, either via supervised, unsupervised or reinforcement learning. The Deep Learning Summer School 2016 is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research. Note: Slide synchronization will soon be added.
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Self-Organising Maps for Customer Segmentation using R | Shane Lynn

Self-Organising Maps for Customer Segmentation using R | Shane Lynn | Data is big | Scoop.it
Self-Organising Maps (SOMs) are an unsupervised data visualisation technique that can be used to visualise high-dimensional data sets in lower (typically 2)
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Interactive 3D Clusters of all 721 Pokémon Using Spark and Plotly

Interactive 3D Clusters of all 721 Pokémon Using Spark and Plotly | Data is big | Scoop.it
There has been a lot of talk lately about Pokémon due to the runaway success of Pokémon GO (I myself am Trainer Level 18 and on Team Valor). Players reve
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Uber Engineering's Tech Stack: The Foundation

Uber Engineering's Tech Stack: The Foundation | Data is big | Scoop.it
Uber’s mission is transportation as reliable as running water, everywhere, for everyone. Here's the first of a two-part series on the tech stack that Uber Engineering uses to make this happen.
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How to Implement a Machine Learning Algorithm

How to Implement a Machine Learning Algorithm | Data is big | Scoop.it
Implementing a machine learning algorithm in code can teach you a lot about the algorithm and how it works. In this post you will learn how to be effective at implementing machine learning algorithms and how to maximize your learning from these projects. Benefits of Implementing Machine Learning Algorithms You can use the implementation of …
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twiml - Podcast - This Week in Machine Learning & AI

Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.

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This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the worlds of machine learning and artificial intelligence. We discuss the latest developments in research, technology, and business and explore interesting projects from across the web.
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A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python)

A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python) | Data is big | Scoop.it
This tutorial explains tree based modeling which includes decision trees, random forest, bagging, boosting, ensemble methods in R and python
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Building a data science portfolio: Storytelling with data

Building a data science portfolio:  Storytelling with data | Data is big | Scoop.it
Learn how to build the first component in a well-rounded data science portfolio by learning how to tell stories with data.
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