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All Blog Posts Tagged 'machine learning' (35)

The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?

Why Machine Learning Doesn’t Work Well for Some Problems?

Shahab Sheikh-Bahaei, Ph.D.*

Principal Data Scientist

Intertrust Technologies.

Introduction

Machine Learning (ML) is closely related to computational statistics which focuses on prediction-making through the use of computers. ML is a modern approach to an old problem:  predictive inference. It makes an inference from “feature” space to “outcome/target” space.…

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Added by Shahab Sheikh-Bahaei on July 6, 2017 at 4:30pm — No Comments

The essence of machine learning is function estimation

Machine learning is cool. There is no denying in that. In this post we will try to make it a little uncool, well it will still be cool but you may start looking at it differently. Machine learning is not a black box. It is intuitive and this post is just to convey that. 



If I give you this function f(x) = x^2 + log(x) and ask you to tell me what will be f(2), you will first laugh at me and then run away to do something important. This is trivial for you,…

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Added by Manish Kumar Barnwal on June 6, 2017 at 5:00am — 1 Comment

Open Source Deep Learning Frameworks and Visual Analytics

Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.

What is Deep Learning and Artificial Neural Networks?

Deep Learning is the modern buzzword for artificial neural networks, one of many concepts…

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Added by Kai Waehner on April 23, 2017 at 9:00am — 1 Comment

Finding "Gems" in Big Data

(Photo credit:  Rob Lavinsky, iRocks.com – CC-BY-SA-3.0)

In 1945, Count ,Richard Taaffe* a Dublin gem collector, was sorting through a set of spinel gems that he had bought, and found one that…

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Added by Peter Bruce on March 30, 2017 at 2:30pm — No Comments

Using ML-driven marketing optimization to solve the attribution conundrum

Accurate multichannel campaign attribution has stumped the online marketing industry for years. But what if the solution is to stop worrying about attribution, and move to an optimization-driven approach?

You know those photo mosaic images, which suddenly became terribly popular a few years back? They cleverly use lots of individual tiny images to make up one large image. If you look closely you can make out the…

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Added by Ian Thomas on January 27, 2017 at 9:30am — No Comments

Introducing Machine Learning

Though your impressions of machine learning may be colored by these mass media depictions, today’s algorithms are too application-specific to pose any danger of becoming self-aware. The goal of today’s machine learning is not to create an artificial brain, but rather to assist us in making sense of the world’s massive data stores.

The origins of machine learning – 

Since birth, we are inundated with data. Our body’s sensors—the eyes, ears, nose, tongue, and…

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Added by Ankur Singh on December 30, 2016 at 9:52am — No Comments

Has Deep Learning Made Traditional Machine Learning Irrelevant?

Summary:  The data science press is so dominated by articles on AI and Deep Learning that it has led some folks to wonder whether Deep Learning has made traditional machine learning irrelevant.  Here we explore both sides of that argument.

 

On Quora the other day I saw a question from an aspiring data scientist that asked – since all the…

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Added by William Vorhies on December 13, 2016 at 9:24am — 4 Comments

Finding Career Opportunities in AI

Summary:  Are there large, sustainable career opportunities in AI and if so where?  Do they lie in the current technologies of Deep Learning and Reinforcement Learning or should you focus your career on the next wave of AI?

  

If you’re a data scientist thinking about expanding your career options into AI you’ve got a forest and…

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Added by William Vorhies on September 20, 2016 at 7:33am — No Comments

The Oldest AI

Summary:  What are the earliest seeds of artificial intelligence?  To whom do we owe thanks for starting us down this path?  Many modern researchers to be sure, but the earliest is Leonardo Torres of Spain, in about 1914.

 

As data scientists it’s very cool to be at the forefront in this age of techno-optimism.  Since the awakening of the digital age calculated by economic researchers to have begun about 1994, a wave of increased productivity has…

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Added by William Vorhies on September 6, 2016 at 7:06am — No Comments

AI vs Deep Learning vs Machine Learning

Summary:  Which of these terms means the same thing:  AI, Deep Learning, Machine Learning?  Are you sure?  While there’s overlap none of these is a complete subset of the others and none completely explains the others.

 

Take this quiz.

Which of the following are substantially the same things?

A. AI

B. Deep Learning

C.  Machine Learning

(Select your answer)

1.  A and B

2.  B and C

3.  A and…

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Added by William Vorhies on August 16, 2016 at 9:00am — 10 Comments

Curated Lists of Data Science, Machine Learning, Deep Learning and NLP resources

Here are three useful resources for learning about Data Science:

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Added by Ujjwal Karn on May 18, 2016 at 8:59am — No Comments

How to improve your online KPIs – Part 1. Know your Demand

As a follow-up to my previous post "Using Machine Learning to predict Customer Behaviour", I wanted to address a similar topic but from an e-commerce perspective. How to you predict the behaviour of your visitors in your online store? and more importantly, how do you leverage this knowledge in order to optimize your traffic, conversion, profit, or whatever KPI…

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Added by Alex Marandon on April 19, 2016 at 11:40pm — No Comments

Don't Buy Machine Learning

Author: Marcos Sponton



A few comments for those who are about to invest on Machine Learning intensive project

During a conversation I had with Peter Norvig, we discussed about the kind of projects that we do at Machinalis and how strange does it feels to say that "we are a Machine Learning company": In many projects, the amount of effort spent on R&D on Machine Learning is usually a small fraction of the total effort, or it’s not even there because we plan it for a…

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Added by Elías Andrawos on March 29, 2016 at 5:30am — 3 Comments

Impactful text analytics for smarter businesses

RATINGS ARE OVERRATED

Service is great, but the desserts are bad”. Overall rating 4.5/5.

Many times we have gone into a restaurant alone or in a group, came out happy and still rated it a 3 or a 4 on social media. Does any one check why 2 precious points were deducted? No one will read your review unless the overall rating dips below 3.5. Is it an healthy practice? Of course not.

Frankly, no one is to blame except the rating scales and NPS…

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Added by Manas Ranjan Kar on December 28, 2015 at 7:57am — No Comments

Using GloVe vectors in Gensim

Natural Language Processing (NLP) is a messy and difficult affair to handle. Preprocessing, machine learning, relationships, entities, ontologies and what not.

Word embeddings/representations – ever since they came in with great work of Mikolov et al, they have been revolutionary to say the least. The concept itself is very intuitive and motivates deeper understanding fora wide range of applications. The…

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Added by Manas Ranjan Kar on December 28, 2015 at 7:53am — No Comments

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