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All Blog Posts Tagged 'deep learning' (35)

Achieving over 30% net profit with Pivot Billions and Deep Learning enhanced trading models

Integrating Pivot Billions with Keras Deep Learning to enhance currency trading models with AI to achieve over 30% net profit in less than 7 months.

Deep Learning has revolutionized the fields of image…

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Added by Benjamin Waxer on February 8, 2019 at 5:29am — No Comments

Machine Learning with C++ - Mask R-CNN with PyTorch C++ Frontend

I made C++ implementation of Mask R-CNN with PyTorch C++ frontend. The code is based on PyTorch implementations from multimodallearning and Keras implementation from …

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Added by Kyrylo Kolodiazhnyi on January 21, 2019 at 7:44am — No Comments

AI intervenes to bring down suicide rates

While a reliable method to accurately identify suicidal patients is …

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Added by Deena Zaidi on August 15, 2018 at 6:42pm — No Comments

Neural Networks from a Bayesian Perspective

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Added by Yoel Zeldes on August 15, 2018 at 10:30am — No Comments

Using Uncertainty to Interpret your Model

This is a joint post with Inbar Naor. Originally published at engineering.taboola.com.

As deep neural networks (DNN) become more powerful, their complexity…

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Added by Yoel Zeldes on August 11, 2018 at 9:00am — No Comments

AI Strategies – Incremental and Fundamental Improvements

Summary:  Before starting to develop an AI strategy, make sure your team understands the limits of what is reasonable today, as well as incremental improvements that might be overlooked.  Focus should be on your LOB leaders who understand the business.  Make sure they are also able to recognize AI opportunities.

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Added by William Vorhies on May 8, 2018 at 9:30am — No Comments

Transfer Learning –Deep Learning for Everyone

Summary: Deep Learning, based on deep neural nets is launching a thousand ventures but leaving tens of thousands behind.  Transfer Learning (TL), a method of reusing previously trained deep neural nets promises to make these applications available to everyone, even those with very little labeled data.

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Added by William Vorhies on April 17, 2018 at 12:25pm — No Comments

Boost your data science skills. Learn linear algebra.

I’d like to introduce a series of blog posts and their corresponding Python Notebooks gathering notes on the Deep Learning Book from Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016). The aim of these notebooks is to help beginners/advanced beginners to grasp linear algebra concepts underlying deep learning and machine learning. Acquiring these skills can boost your ability to understand and apply various data science algorithms. In…

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Added by hadrienj on March 28, 2018 at 1:30pm — 1 Comment

GDPR and the Paradox of Interpretability

Summary:  GDPR carries many new data and privacy requirements including a “right to explanation”.  On the surface this appears to be similar to US rules for regulated industries.  We examine why this is actually a penalty and not a benefit for the individual and offer some insight into the actual wording of the GDPR regulation which also offers some relief.

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Added by William Vorhies on March 26, 2018 at 2:10pm — 4 Comments

Strata – What a Difference a Year Makes

Summary:  Some observations about new major trends and directions in data science drawn from the Strata Data conference in San Jose last week.

 

I’m just back from my annual field trip to the Strata Data conference in San Jose last week.  Strata is on tour with four…

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Added by William Vorhies on March 12, 2018 at 4:48pm — 1 Comment

6 Predictions about Data Science, Machine Learning, and AI for 2018

Summary:  Here are our 6 predictions for data science, machine learning, and AI for 2018.  Some are fast track and potentially disruptive, some take the hype off over blown claims and set realistic expectations for the coming year.

 

It’s that time of year again when we do…

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Added by William Vorhies on December 12, 2017 at 9:29am — 6 Comments

Machine Learning – Can We Please Just Agree What This Means

Summary:  As a profession we do a pretty poor job of agreeing on good naming conventions for really important parts of our professional lives.  “Machine Learning” is just the most recent case in point.  It’s had a perfectly good definition for a very long time, but now the deep learning folks are trying to hijack the term.  Come on folks.  Let’s make up our minds.

 

As a profession we do a pretty poor job of agreeing on good naming conventions…

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Added by William Vorhies on December 4, 2017 at 3:30pm — 5 Comments

Data or Algorithms – Which is More Important?

Summary:  Which is more important, the data or the algorithms?  This chicken and egg question led me to realize that it’s the data, and specifically the way we store and process the data that has dominated data science over the last 10 years.  And it all leads back to Hadoop.

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Added by William Vorhies on November 28, 2017 at 10:36am — 1 Comment

Ux + AI = Cognitive Ergonomics

Summary:  The addition of AI capabilities to our personal devices, applications, and even self-driving cars has caused us to take a much deeper look at what we call ‘User Experience’ (Ux).  A more analytical framework identified as Cognitive Ergonomics is becoming an important field for data scientists to understand and implement.

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Added by William Vorhies on October 31, 2017 at 9:51am — No Comments

From Artificial Intelligence to Deep Learning

Artificial intelligence or AI for short is the field of making computer think like humans by creating an artificial brain. Whatever the human can do intelligently is required to be moved into machines. The machine will just do what the human tells it and no more. For example, the human can sort numbers in an intelligent manner and so machines should be intelligent by sorting numbers like humans. To do this, there are a number of algorithms like bubble sort that allows the machine to think…

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Added by Ahmed Gad on October 20, 2017 at 3:00am — 2 Comments

AI’s Ethical Dilemma – An Unexpectedly Urgent Problem

Summary:  In just the last 10 months based only on facial characteristics deep learning has been used to predict who is a criminal and who is gay.  These are rigorous, peer reviewed studies published in academic journals.  How should this knowledge be used and how will the public react?

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Added by William Vorhies on September 19, 2017 at 7:00am — 3 Comments

Quantum Computing, Deep Learning, and Artificial Intelligence

Summary:  Quantum computing is already being used in deep learning and promises dramatic reductions in processing time and resource utilization to train even the most complex models.  Here are a few things you need to know.

 

So far in this series of…

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Added by William Vorhies on June 13, 2017 at 8:00am — No Comments

Quantum Computing and Deep Learning. How Soon? How Fast?

Summary:  Quantum computing is now a commercial reality.  Here’s the story of the companies that are currently using it in operations and how this will soon disrupt artificial intelligence and deep learning.

 

Like a magician distracting us with one hand while pulling a fast one with…

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Added by William Vorhies on May 30, 2017 at 8:00am — 2 Comments

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

There’s Nothing Like a Huge Public Failure to Boost Interest in AI

Summary:  We are swept up by the rapid advances in AI and deep learning, and tend to laugh off AI’s failures as good fodder for YouTube videos.  But those failures are starting to add up.  It’s time to take a hard look at the weaknesses in AI and where that’s leading us.

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Added by William Vorhies on April 18, 2017 at 8:04am — No Comments

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