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All Blog Posts Tagged 'dsc_ml' (79)

Deep Learning Reinvents the Hearing Aid

This article was written by DeLiang Wang.

My mother began to lose her hearing while I was away at college. I would return home to share what I’d learned, and she would lean in to hear. Soon it became difficult for her to hold a…

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Added by Andrea Manero-Bastin on January 28, 2021 at 7:00am — No Comments

NLP with Bangla: Generating Text and Sentiment Analysis

In this blog post, I shall discuss on a few NLP techniques with Bangla language, demonstrate how to train a word2vec model with Bangla wiki corpus with tensorflow, and explore how to visualize the semantic similarity between words using t-SNE. Once done, the article will focus on how to train a character / word LSTM on selected Tagore’s…

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Added by Sandipan Dey on January 27, 2021 at 1:00am — No Comments

How to Overcome Web Scraping Challenges With AI & ML Technology



Artificial Intelligence (AI) and Machine Learning (ML) are already being leveraged for increased efficiency and greater success in public web data-gathering operations.



It’s not a secret that web scraping can be complex and challenging. Part of that challenge is the fact that much of the process consists of repetitive and…

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Added by Julius Cerniauskas on January 21, 2021 at 4:00am — No Comments

How to use MLOps for an effective AI strategy

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Added by Raghavendra Singh on January 21, 2021 at 12:30am — No Comments

Machine Learning / Stats / BI: Mini Translation Dictionary

Here I provide translations for various important terms, to help professionals from related backgrounds better understand each other. In particular, machine learning professionals versus statisticians.

Source for picture:…

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Added by Vincent Granville on January 18, 2021 at 9:12pm — No Comments

Master Machine and Human Learning to Win the Digital Transformation Wars

The “Economies of Learning” are more powerful than the “Economies of Scale”

This may be my most powerful concept (outside of the Schmarzo Economic Digital Asset Valuation Theorem and the…

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Added by Bill Schmarzo on January 18, 2021 at 11:00am — No Comments

Advantages and Disadvantages of Automated Machine Learning

The title of this blog is accurate

There are indeed some caveats / disadvantages to automated machine learning.

This blog was motivated by a question in my University of Oxford class effectively asking:

Will automated machine learning take over all the data scientists’ tasks?

If you listen to the…

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Added by ajit jaokar on January 18, 2021 at 3:00am — No Comments

Can Gerrymandering Be Ended via Machine Learning?

Gerrymandering has long been a problem in the process of choosing elected officials globally, but it is especially a problem in the United States, where political redistricting occurs every two years in response to changes in population distribution and density. The term itself arose in 1820 in Massachusetts as the…

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Added by Kurt A Cagle on January 17, 2021 at 12:00pm — No Comments

Keras Hyperparameter Tuning Has Never Been That Easy: When AI Facilitates Building Another AI

Hyperparameter tuning is considered time-consuming and computationally expensive as it requires testing numerous combinations before attaining the optimum values. Using the available tuning libraries do not solve these issues as many of them randomly investigate the solution space while others are built for general use without adequately understand the hidden features in deep learning optimization. In this piece of writing, I am glad to introduce the state of art aisaratuners…

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Added by AiSara on December 29, 2020 at 5:19pm — No Comments

Blockchain emerging as Next-Generation Data and Model Governance Framework

Introduction and Motivation

The blockchain technology has led to a strong foundation for different applications related to asset management, medical/health, finance, and insurance. Data analytics provided by…
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Added by Sharmistha Chatterjee on December 28, 2020 at 1:30am — No Comments

Applications of Deep Neural Networks 575 page free book by Jeff Heaton

If you want some holiday reading, here is something for you 

I think  this is extraordinarily generous 

Applications of Deep Neural Networks 575 page free book by Jeff Heaton 

TOC below download links at the end of the post

Happy holidays :)  

0.1 Introduction . . . .…

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Added by ajit jaokar on December 24, 2020 at 1:31pm — No Comments

Object detection with neural networks — a simple tutorial using keras

This article was written by Johannes Rieke.

Abstract

A very lightweight tutorial to object detection in images. We will bootstrap simple images and apply increasingly complex neural networks to them. In the end, the algorithm will be able to detect multiple…

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Added by Andrea Manero-Bastin on December 24, 2020 at 12:28pm — No Comments

Image-to-Image Translation with Conditional Adversarial Networks

This article was written by Berkeley AI Research (BAIR) Laboratory.

Abstract 

We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but…

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Added by Andrea Manero-Bastin on December 24, 2020 at 12:16pm — No Comments

Essential Machine Learning Algorithms That Data Analysts Need To Know

AI is taking over. In 2021, we’re going to see machine learning taking on a bigger role in data analysis as algorithms become capable of reducing error and producing more accurate models within themselves. These algorithms cover iterative processes, decision trees as well as multi-dimensional splitting of datasets. Machine learning is enabling data analysts to have new and greater insights, affecting everything from marketing departments to the way we learn. Here are the essential machine…

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Added by George J. Newton on December 23, 2020 at 12:00pm — No Comments

Why do you need trustable data?

Trustable data is defined as data that comes from reliable sources and used according to its intended and delivered in the appropriate formats and time frames for the specific users.



Trustable data helps in effective decision making. The properties mentioned in the definition makes data trustworthy for effective decision making.

Trust Factors of data:

Trustable data are good only if they meet certain basic requirements. Here are some of the…

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Added by Indhu on December 22, 2020 at 11:30pm — No Comments

The Different Ways in Which Machine Learning Makes Healthcare Better

The continued evolution of technology has empowered humanity quite unlike anything else, offering tools and technologies to assist us in our daily endeavors. Take machine learning, for example; one of the most advanced technologies out there in the world right now has virtually changed how we do even the simplest of tasks or, say, run our businesses. Of course, its impact has been observed across all industries, including healthcare. Yes, even healthcare, where machine learning has now…

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Added by Ryan Williamson on December 17, 2020 at 2:29am — No Comments

Machine Learning: How it is Transforming the Education Sector

The continued evolution of technology has changed our lives in more profound ways than we’d ever been able to imagine. Think about it — we no longer have to wait in queues in the bank to get a bank statement or even head out to a supermarket or some such to buy groceries. This advancement of technology has had quite an impact on education as well. Come to think of it; education has experienced mind-boggling transformation, brought on by various technologies, such as artificial intelligence,…

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Added by Ryan Williamson on December 16, 2020 at 12:47am — No Comments

GPT-3: The Next Revolution in Artificial Intelligence (AI)

Generative Pre-trained Transformer 3 also referred to as GPT-3 is the next big revolution in artificial intelligence (AI).

In 2018, a startup, OpenAI was the first to create the autoregressive language model. GPT-3 was deemed to be the largest autoregressive language. The program has been trained regressively on approximately 45 terabytes of text data which has been processed through 175 billion parameters.…

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Added by Aileen Scott on December 15, 2020 at 12:51am — No Comments

Horowitz Index Day-Ahead Change Prediction in Real Time

Rationalizing the effort of our intensive care staff by predicting patient condition indicators in real time is a challenge because of an impressive number of externally imposed and internally unavoidable restrictions. Patient data privacy requirements, variety of types and lack of standardization within one type of equipment, limited availability of “pure” examples of this or that patient condition patterns – just to name a few complexity factors.

Computational approaches to model…

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Added by Sergey Lukyanchikov on December 14, 2020 at 3:00am — No Comments

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