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All Blog Posts Tagged 'machine' (213)

Machine learning as a service ? Might lose sleep over this !

    This post is 'not' intended to teach people how to use popular predictive modelling APIs for free. Although, to your surprise, this isn't a far fetched possibility. Trained Machine learning models are basically a function that maps feature vectors to the output variable. Upon querying with a test instance, the model predicts an outcome, assigning…

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Added by Ashish kumar on November 28, 2016 at 5:00pm — No Comments

Why Oxytocin, Dophamine & Adrenalin are key to creating engaging Data Products ?

Human behaviors, rituals & habits are the outcome of complex interplay of the environment and experiences they have been exposed to. These definitely play a big role in shaping our product interaction experience. All of us have intuitively understood the importance of "cognitive resonance" in the first 8 seconds we interact with a product and how that experience has subsequently shaped our outlook to our product. As…

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Added by derick.jose on November 27, 2016 at 10:00pm — 1 Comment

Matrix Multiplication in Neural Networks

This post is the outcome of my studies in Neural Networks and a sketch for application of the Backpropagation algorithm. It's a binary classification task with N = 4 cases in a Neural Network with a single hidden layer. After the hidden layer and the output layer there are sigmoid activation functions. Different colors were used in the Matrices, same color as the Neural Network structure (bias, input, hidden, output) to make it easier to understand.…

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Added by Rubens Zimbres on November 16, 2016 at 11:00am — 4 Comments

Understanding machine learning #3: Confusion matrix - not all errors are equal

One of the most typical tasks in machine learning is classification tasks. It may seem that evaluating the effectiveness of such a model is easy. Let’s assume that we have a model which, based on historical data, calculates if a client will pay back credit obligations. We evaluate 100 bank customers and our model correctly guesses in 93 instances. That may appear to be  a good result – but is it really? Should we consider a model with 93% accuracy as adequate?

It depends. Today, we…

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Added by Algolytics on November 13, 2016 at 4:30am — No Comments

Opinion Mining - Sentiment Analysis and Beyond

Introduction

There’s a lot of buzzword around the term “Sentiment Analysis” and the various ways of doing it. Great! So you report with reasonable accuracies what the sentiment about a particular brand or product is.

Opinion Mining and Sentiment Analysis

After publishing this report, your client comes back to you and…

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Added by Vivek Kalyanarangan on November 4, 2016 at 5:00am — No Comments

Price Optimisation Using Decision Tree (Regression Tree) - Machine Learning

INTRODUCTION TO THE RESEARCH QUESTION

The research was conducted to find out what price  maximises profit without sacrificing the high demand for the product due to the price being too high nor sacrificing the margins on the product due to the price being too low. 

The goal is to experiment with different price levels for the same product in one market place and country to see how sales volumes change with prices and which volume level of…

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Added by Bernard Antwi Adabankah on October 29, 2016 at 10:30pm — 3 Comments

Understanding machine learning: Do we need machine learning at all?

In the previous post of our Understanding machine learning series, we presented how machines learn through multiple experiences. We also explained how, in some cases, human beings are much better at interpreting data than machines. In many tasks machines still can’t replace humans, who understand surrounding reality better and can make more accurate decisions.

Machines can be given a…

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Added by Algolytics on October 13, 2016 at 4:30am — No Comments

Human Brain vs Machine Learning - A Lost Battle?

Human (or any other animal for that matter) brain computational power is limited by two basic evolution requirements : survival and procreation. Our "hardware" (physiology) and "software" (hard-coded nature psychology) only had to evolve to allow us to perform a set of basic actions - identify Friend or Foe, obtain food, find our place in the social tribe hierarchy, ultimately find a mate and multiply. Anything beyond this point, or not directly leading to this point can be…

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Added by Danny Portman on October 3, 2016 at 9:30am — 5 Comments

Introducing a Graph-based Semantic Layer in Enterprises

Things, not Strings

Entity-centric views on enterprise information and all kinds of data sources provide means to get a more meaningful picture about all sorts of business objects. This method of information processing is as relevant to customers, citizens, or patients as it is to knowledge workers like lawyers, doctors, or researchers. People actually do not search for documents, but rather for facts and other chunks of information to bundle them up to provide answers to…

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Added by Andreas Blumauer on September 1, 2016 at 12:00am — No Comments

PoolParty Releases Enhanced Version of its Semantic Middleware

PoolParty Semantic Suite is now including improved machine learning capabilities to support most critical knowledge engineering tasks. PoolParty 5.5 now represents a complete stack of standards-based technologies to be used as an enterprise middleware for cognitive computing platforms, according to Andreas Blumauer, PoolParty CEO.
The product is…
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Added by Andreas Blumauer on September 1, 2016 at 12:00am — No Comments

Future of IIoT - Intelligent Machines will Create a Positive Impact on Productivity

Industrial Internet of Things (IIoT)  s a system that integrates complex machines with high-end software programs and sensors for analyzing data to increase productivity and reduce operational time and costs. IIoT systems differs from Internet of Things (IoT) systems. Failure in IIoT systems would lead to disastrous situations where as in IoT systems the failure would barely lead to emergency situations. IoT systems are designed at consumer level device such…

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Added by Aman on August 21, 2016 at 11:00pm — No Comments

Interview with Flowcast CTO: AI / Machine Learning in Fintech

Flowcast’s Co-founder and CTO, Winnie Cheng was recently interviewed by Sandhya Krishanmurthy, COO of the FinTech School, for the latter’s FinTech Core 101 course. The FinTech School is dedicated to providing practical Fintech training developed by…

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Added by Winnie Cheng on August 8, 2016 at 3:00am — No Comments

The Emerging World of Neural Net Driven MT

Originally posted here, where you can see all the graphics

There has been much in the news lately about the next wave of MT technology driven by a technology called deep learning and neural nets (DNN). I will attempt to provide a brief layman’s overview about what this is, even though I am barely qualified to do this (but if Trump can run for POTUS then…

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Added by Kirti Vashee on July 29, 2016 at 9:30am — No Comments

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

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