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All Blog Posts Tagged 'dsc_ml' (80)

Unveil the Significance of Neo Machine Learning (NeoML)

NeoML, launched by ABBYY, the digital intelligence company is an open-source library ideal to build, train, and deploy machine learning (ML) models.

The open-source library which was earlier launched in June 2020 is now available on GitHub as well. NeoML provides huge support to both deep learning and traditional machine learning…

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Added by Aileen Scott on December 10, 2020 at 10:00pm — No Comments

Free 500 page + book on Applications of Deep Neural Networks

Applications of Deep Neural Networks is a free 500 + page book by Jeff Heaton

The contents are as below

The download link is at the bottom of the page

Introduction                                               

 Python Preliminaries

  • Assignments…
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Added by ajit jaokar on December 7, 2020 at 5:42am — No Comments

When Should a Machine Learning Model Be Retrained?

A few years ago, it was extremely uncommon to retrain a machine learning model with new observations systematically. This was mostly because the model retraining tasks were laborious and cumbersome, but machine learning has come a long way in a short time. Things have changed with the adoption of more sophisticated MLOps solutions.

Now, the…

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Added by Henrik Skogström on November 30, 2020 at 11:11pm — No Comments

When Daphne Koller met Judea Pearl. When Feynman met Dirac. When The Beatles met Bob Dylan.

Daphne Koller is the leader of a mega-startup (Insitro) that uses Machine Learning (do they use Causal Bayesian Networks???) to do drug research. She also co-founded Coursera with Andrew Ng, and she co-wrote with  Nir Friedman a 1200 page book about Probabilistic Graphical Models (e.g., Bayesian Networks)

Judea Pearl won a Turing award (commonly…

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Added by Robert R. Tucci on November 29, 2020 at 1:00pm — No Comments

What are Recurrent Neural Networks

Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence.

Traditional neural networks can’t do…

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Added by Hitesh Dsouza on November 29, 2020 at 9:00am — No Comments

Human Decision-making in a Big Data World

This blog was originally written in 2012, and am republishing it because with the increased use of black box AI / ML models to power key operational decisions, these human decision-making traps need to be thoroughly and holistically addressed during the analytics definition stage to avoid the dangers of unintended consequences.

 

Organizations are looking to integrate big data and advanced analytics into their business operations in order to become more…

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Added by Bill Schmarzo on November 27, 2020 at 12:56pm — No Comments

Traditional vs Deep Learning Algorithms used in BlockChain in Retail Industry

Use of SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN in Retail with BlockChain

Introduction

This blog highlights different ML algorithms used in blockchain transactions with a special emphasis on bitcoins in retail payments. This blog is structured as follows:

  • Overview of the role of blockchain in the retail industry.
  • Different traditional…
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Added by Sharmistha Chatterjee on July 26, 2020 at 7:22am — No Comments

Quantum Neural Net, an Oxymoron

oxymoron

Venn diagram showing overlap between "quantum" and "neural network"

The term "quantum neural networks" is being used with increasing frequency by the quantum computing community. Maybe as a dishonest, bait-and-switch advertising strategy, this makes sense. However, from a scientific standpoint, "quantum neural network" is a very poor name choice for what is being alluded to here.

Artificial Neural Networks, often called "Neural Nets" for short, are supposed to…

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Added by Robert R. Tucci on July 15, 2020 at 4:30am — No Comments

My First Neural Network

This article was written by Bharat Girdhar.

I was always intrigued by the concept of computers taking a decision on behalf of humans. Though the concept of machine learning has been there for decades but…

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Added by Andrea Manero-Bastin on July 10, 2020 at 5:00am — No Comments

23 sources of data bias for #machinelearning and #deeplearning

In the paper A survey on bias and fairness in machine learning.- the authors outline 23 types of bias in data for machinelearning. The source is good – so below is an actual representation because I found it useful as it is

full paper link below

 

1) Historical Bias. Historical bias is the already…

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Added by ajit jaokar on June 30, 2020 at 12:02pm — 1 Comment

Using Neural Networks to Predict Cimate Change, Droughts, and Conflict Displacements

The Problem

Millions of people are forced to leave their current area of residence or community due to resource shortage and natural disasters such as droughts, floods. Our project partner, UNHCR, provides assistance and protection for those who are forcibly displaced inside Somalia.

The goal of this project was to create a solution that quantifies…

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Added by Omdena Community Members on June 25, 2020 at 3:30am — No Comments

Generative Adversarial Networks (GANs) & Bayesian Networks

gan-asian Generative Adversarial Networks (GANs) software is software for producing forgeries and imitations of data (aka synthetic data, fake data). Human beings have been making fakes, with good or evil intent, of almost everything they possibly can, since the beginning of the human race. Thus, perhaps not too surprisingly, GAN software has been widely used since it was first proposed in this amazingly recent 2014 paper. To gauge how widely GAN software has been used so far, see, for…

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Added by Robert R. Tucci on June 24, 2020 at 11:30pm — No Comments

Creating Music by Machine Learning

© 2020 by Radna Intellectual Ventures, LLC.

In Sweden, there's something called the Allemansrätten, which literally translates…

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Added by Andrew Vo on June 24, 2020 at 12:00pm — 1 Comment

Today I uploaded to github the first version of my book "Bayesuvius" about Bayesian Networks

vesuvius-from-pompei View of Mount Vesuvius form Pompeii

In the last week, I started a new book on classical (not quantum) Bayesian Networks. Today, I uploaded the first installment to github. Here is its github repo. Here is the pdf for the book. Let me quote the current…

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Added by Robert R. Tucci on June 23, 2020 at 7:12pm — No Comments

Enhancing Satellite Imagery Through Super-Resolution

The power of deep learning paired with collaborative human intelligence to increase the quality of crop cultivation imagery through super resolution.

 

The Problem

The focus in this article lies in…

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Added by Omdena Community Members on June 20, 2020 at 9:00am — No Comments

DriveML: Self-Drive Machine Learning Projects

Abstract

Implementing some of the pillars of an automated machine learning pipeline such as (i) Automated data preparation, (ii) Feature engineering, (iii) Model building in classification context that includes techniques such as (a) Regularised regression [1], (b) Logistic regression [2], (c) Random Forest [3], (d) Decision tree [4] and (e) Extreme Gradient Boosting (xgboost) [5], and finally, (iv) Model explanation (using…

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Added by Dayananda U on June 15, 2020 at 5:30am — 1 Comment

Deep Learning for Object Detection: A Comprehensive Review

This article was written by Joyce Xu.

With the rise of autonomous vehicles, smart video surveillance, facial detection and various people counting applications, fast and accurate object detection systems are rising in demand. These systems involve not only recognizing and classifying every object in an…

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Added by Andrea Manero-Bastin on June 15, 2020 at 12:00am — No Comments

Logistic Regression with Math

This article was written by Madhu Sanjeevi (Mady).

In the previous story we talked about Linear Regression for solving regression problems in machine learning, This story we will talk about Logistic Regression for classification problems.

You may be wondering why the name says regression…

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Added by Andrea Manero-Bastin on June 14, 2020 at 11:30pm — No Comments

Training with historical data! Surely, you’re joking says the IoT asset that just got connected

By

  • Priya Sharma – Sr. Data Scientist -IoT Analytics, SAS Institute Inc.
  • Saurabh Mishra – Product Management, IoT, SAS Institute Inc.

June 12, 2020

Description: Majority of AI approaches are based on the construct of training against historical data and then inferencing new data. While this is a sound and proven approach, a lot of IoT assets coming online don’t have historical data and we don’t necessarily have the time to wait.

Modern Machine…

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Added by Jane Howell on June 12, 2020 at 2:30pm — No Comments

18 Handy Resources for Machine Learning Practitioners

Machine Learning is a diverse field covering a wide territory and has impacted many verticals. It is able to tackle tasks in language and image processing, anomaly detection, credit scoring sentiment analysis, forecasting alongside dozens of other downstream tasks. A proficient developer, in this line of work; has to be able to draw, borrow, and steal from many adjacent fields such as mathematics, statistics, programming, and most importantly common sense. I for one have drawn tremendous…

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Added by Al Gharakhanian on June 10, 2020 at 9:30am — 1 Comment

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