Added by Andrea Manero-Bastin on January 28, 2021 at 7:00am — No Comments
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…Continue
Added by Andrea Manero-Bastin on January 28, 2021 at 7:00am — No Comments
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…Continue
Added by Sandipan Dey on January 27, 2021 at 1:00am — No Comments
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…
Added by Julius Cerniauskas on January 21, 2021 at 4:00am — No Comments
Added by Raghavendra Singh on January 21, 2021 at 12:30am — No Comments
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:…Continue
Added by Vincent Granville on January 18, 2021 at 9:12pm — No Comments
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…Continue
Added by Bill Schmarzo on January 18, 2021 at 11:00am — No Comments
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…Continue
Added by ajit jaokar on January 18, 2021 at 3:00am — No Comments
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…Continue
Added by Kurt A Cagle on January 17, 2021 at 12:00pm — No Comments
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…Continue
Added by AiSara on December 29, 2020 at 5:19pm — No Comments
Added by Sharmistha Chatterjee on December 28, 2020 at 1:30am — No Comments
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 . . . .…Continue
Added by ajit jaokar on December 24, 2020 at 1:31pm — No Comments
This article was written by Johannes Rieke.
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…Continue
Added by Andrea Manero-Bastin on December 24, 2020 at 12:28pm — No Comments
This article was written by Berkeley AI Research (BAIR) Laboratory.
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…Continue
Added by Andrea Manero-Bastin on December 24, 2020 at 12:16pm — No Comments
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…Continue
Added by George J. Newton on December 23, 2020 at 12:00pm — No Comments
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…Continue
Added by Indhu on December 22, 2020 at 11:30pm — No Comments
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…Continue
Added by Ryan Williamson on December 17, 2020 at 2:29am — No Comments
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,…Continue
Added by Ryan Williamson on December 16, 2020 at 12:47am — No Comments
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.…Continue
Added by Aileen Scott on December 15, 2020 at 12:51am — No Comments
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…Continue
Added by Sergey Lukyanchikov on December 14, 2020 at 3:00am — No Comments