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All Blog Posts Tagged 'machine' (220)

Is AI a dude or a dudette?

The gender of artificial intelligence

By Tyler Schnoebelen,

 

There’s Apple’s Siri, Microsoft’s Cortana, Amazon’s Alexa, and Nuance’s Nina. Sure, Facebook has “M”, Google has “Google Now”, and Siri’s voice isn’t always that of a woman. But it does feel worth noting that (typically male-dominated) engineering groups routinely give women’s names to the things you issue commands to. Is artificial…

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Added by Leena Kamath on July 14, 2016 at 9:21am — 1 Comment

Linear Regression in Tensorflow

Tensorflow is an open source machine learning (ML) library from Google. It has particularly became popular because of the support for Deep Learning. Apart from that it's highly scalable and can run on Android. The documentation is well maintained and several tutorials available for different expertise levels. To learn more about downloading and installing Tesnorflow, visit official website.

To scratch the surface of this incredible ML library,…

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Added by Aqib Saeed on July 7, 2016 at 12:00pm — No Comments

Machine Learning - Some Bones







Machine learning is a loose term, it covers many activities. From a software engineering…

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Added by Bruce Robbins on June 30, 2016 at 12:18am — No Comments

Five Myths About Machine Learning You Need To Know Today

Original article is published at Forbes: Link

Ask most people outside academia or Silicon Valley what comes to mind when they hear the term “machine learning” and you’re likely to get a response that involves a movie like “The Matrix” or “Ex Machina.” You’re less likely to hear how it’s a great tool for fraud detection or supply chain…

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Added by Amy Krishnamohan on June 23, 2016 at 9:44am — 3 Comments

Self-driving cars in cornfields

By Tyler Schnoebelen, June 21, 2016.

You can turn right on red in Iowa. Except not where I was last night, from Washington Street on to Linn, which I only realized as I read the “no right on red” sign mid-turn. You’re definitely not supposed to turn left on red, which is what I did a few blocks earlier going from Iowa St. to Clinton. I have no excuse except—I’m not kidding—my mind was preoccupied by thoughts about self-driving…

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Added by Leena Kamath on June 22, 2016 at 11:30am — No Comments

Data Science 101: The Rise and Shine of Machine Learning

We are living in a digital era where Customer is the king. Many businesses have capitulated to this new realm and have started interacting with customers dynamically. Today the customers are free to navigate a merchant (eCommerce) website any way they fancy. Also the merchant can display content and place offers dynamically based on how a given customer interacts with his website. To add to the complexity purchase decisions are not necessarily made on the first visit itself. Internet savvy… Continue

Added by Rohit Yadav on June 7, 2016 at 12:20am — No Comments

The 4 Device Types in the Internet of Things, from a Data Perspective

It has been estimated that the Internet of Things (IoT) will contain 26 billion devices by 2020 (according to Gartner, Inc.), while Cisco’s CEO puts the commercial opportunity from these devices to reach $19 trillion. But behind the glorious financial opportunities is a new community of data, and a complex testing challenge to help support those devices. Usually, IoT is categorized based…

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Added by Manoj on June 2, 2016 at 8:30pm — No Comments

Control Structures Loops in R

As part of Data Science tutorial Series in my previous post I posted on basic data types in R. I have kept the tutorial very simple so that beginners of R programming  may takeoff immediately. 

Please find the online R editor at the end of the post so that you can execute the code on the page itself.

In this section we learn about control structures loops used…

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Added by dataperspective on May 18, 2016 at 8:30pm — No Comments

Random-ized Forest: A new class of Ensemble algorithms

Originally posted on :Linkedin

It's a known fact that bagging (an ensemble technique) works well on unstable algorithms like decision trees, artificial neural networks and not on stable algorithms like Naive Bayes. The well known…

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Added by Ashish kumar on April 19, 2016 at 1:30pm — No Comments

10 Deep Learning Terms Explained in Simple English

 

Deep Learning is a new area of Machine Learning research that has been gaining significant media interest owing to the role it is playing in artificial intelligence applications like image recognition, self-driving cars and most recently the AlphaGo vs. Lee Sedol matches. Recently, Deep Learning techniques have become…

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Added by Mike Waldron on April 11, 2016 at 6:30am — 3 Comments

Using Machine Learning to Predict Customer Behaviour

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Added by Alex Marandon on April 10, 2016 at 10:47pm — 3 Comments

Can DeepMind win 'Jeopardy' and Watson win 'Go'?

original Post: linkedin

We are indeed living in interesting times, where we celebrate human-built machines defeating the best human minds at variety of activities. IBM Deep Blue's win against Chess champ…

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Added by Ashish kumar on April 10, 2016 at 10:24am — No Comments

Machine Learning : Few rarely shared trade secrets

Some of the rarely shared trade secrets in machine learning:   Original post: on linkedin

1. Bootstrap sampling & the magic number 0.63

Even though randomly sampled,…

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Added by Ashish kumar on April 1, 2016 at 9:00am — No Comments

XGBoost: A Scalable Tree Boosting System

"Abstract Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges. We propose a novel sparsity-aware algorithm for sparse data and…

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Added by Diego Marinho de Oliveira on March 14, 2016 at 7:02am — 1 Comment

AirBnB New User Bookings, Kaggle Winner's Interview: 3rd Place

AirBnB New User Bookings was a popular recruiting competition that challenged Kagglers to predict the first country where a new user would book travel. This was the first recruiting competition on Kaggle with scripts enabled. AirBnB…

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Added by Diego Marinho de Oliveira on March 10, 2016 at 2:30am — No Comments

Feature engineering? Start here!

One of the hot topics on Machine Learning is, with no doubts, feature engineering. In fact, it comes before the buzz on this topic, simple when we talk about Data Mining. Remembering the CRISP-DM process, feature engineering (and, consequently, feature selection) is the core of a great data mining project – it comes to life on the Data Preparation phase, that is the task to have constructive data preparation operations such as the production of derived attributes or entire new records, or…

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Added by Leandro Guerra on February 15, 2016 at 12:30am — No Comments

Step-by-step video courses for Deep Learning and Machine Learning

UPDATE: Mar 20, 2016 - Added my new follow-up course on Deep Learning, which covers ways to speed up and improve vanilla backpropagation: momentum and Nesterov momentum, adaptive learning rate algorithms like AdaGrad and RMSProp, utilizing the GPU on AWS EC2, and stochastic batch gradient descent. We look at TensorFlow and Theano starting from the basics - variables, functions, expressions, and simple optimizations - from there, building a neural network seems simple! …

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Added by LazyProgrammer.me on January 23, 2016 at 8:30pm — 2 Comments

5 predictions for 2016 on data, analytics and machine learning

The first prediction is that data and analytics will continue to grow at an astounding pace and with increased velocity

This is no big surprise as all the past reports have pointed towards this growth and expansion -…

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Added by Bruce Robbins on January 3, 2016 at 5:00am — No Comments

The Data-Driven Weekly #1.2

Last week witnessed a number of exciting announcements from the big data and machine learning space. What it shows is that there are still lots of problems to solve in 1) working with/deriving insights from big data, 2) integrating insights into business processes.



TensorFlow

Probably the biggest (data) headline was that Google open sourced TensorFlow, their graph-based…

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Added by Brian Rowe on November 17, 2015 at 6:02am — No Comments

What Is Unsupervised Learning?

 Unsupervised learning algorithms are machine learning algorithms that work without a desired output label. A supervised machine learning algorithm typically learns a function that maps an input x into an output y, while an unsupervised learning algorithm simply analyzes the x’s without requiring the y’s. Essentially, the algorithm attempts to estimate the underlying structure of the population of x’s (in other…

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Added by Aureus Analytics on November 16, 2015 at 10:00pm — No Comments

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