Dataconomy

AUGUST 31, 2023

Natural Language Processing (NLP) : Classification can be applied to text data to categorize messages, emails, or social media posts into different categories, such as spam vs. non-spam, positive vs. negative sentiment, or topic classification.

Machine Learning 136

Machine Learning Machine Learning Supervised Learning Algorithm 136

Snorkel AI

JANUARY 16, 2024

He has done tons of seminal work on evaluation, via projects like Dynabench (a platform for dynamic benchmarking) and work on some topics that are now all the rage, like retrieval-augmented generation (RAG), for which he co-wrote the seminal paper. There are maybe three topics I’ve been most interested in my career.

AI 52

AI AI Supervised Learning Algorithm 52

Heartbeat

APRIL 4, 2023

These algorithms can help to detect abnormalities, diagnose diseases, and generate images that are helpful in the diagnosis of medical conditions. Conclusion Neural Style Transfer is a fascinating topic in the field of computer vision, and it has opened up new possibilities for the creative use of images.

Deep Learning 52

Deep Learning Deep Learning Algorithm ML 52

Data Science Dojo

AUGUST 31, 2023

Optimizing yields: LLMs can be used to optimize yields by predicting crop yields, identifying pests and diseases, and recommending optimal farming practices. Indigo Scout uses LLMs to analyze images of crops and to identify pests and diseases that are not visible to the naked eye.

AI 195

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Mlearning.ai

JUNE 14, 2023

Machine Learning, a foundation of the recent AI revolution, brings innovation to a medical domain such as patient disease diagnosis. For instance, it has been used to diagnose a disease such as tumors in brain MRI scans. The default labels are Left, right, posterior, Anterior, inferior, and superior.

Deep Learning 52

Deep Learning Deep Learning Python Machine Learning 52

How to Learn Machine Learning

APRIL 23, 2023

Examples of Narrow artificial intelligence Disease diagnosis: The potential of Narrow AI is harnessed in the health sector for disease diagnosis. As this technology is evolving quickly, people in the field must be updated on its developments.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Mlearning.ai

MAY 23, 2023

Say, you saw exponentially growing error gradients that accumulate, and as a result of this, very large updates are made to the neural network model weights. These exponentially growing error gradients that update the neural network weights to a great extent are called Exploding Gradients. Perform cross-validation of the model.

Data Science 52

Data Science Decision Trees Deep Learning Deep Learning 52

AWS Machine Learning Blog

MARCH 13, 2024

In the field of medicine, it takes a stand, Diagnosing diseases, guiding a hand. Join a book club or discussion group: Engaging in conversations and discussions about books, articles, or any other topic exposes you to different perspectives and new vocabulary. It paints a canvas, with insights deep, Unveiling patterns, secrets to keep.

Machine Learning 106

Machine Learning Machine Learning Algorithm Python 106

Google Research AI blog

JANUARY 18, 2023

Diagnose complex diseases, or understand the physical world. Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. These are complex topics to grapple with. Let’s get started!

ML 132

ML ML AI AI 132

AWS Machine Learning Blog

JUNE 28, 2023

Public health organizations have a wealth of data about different types of diseases, health trends, and risk factors. The dataset is updated periodically. He works closely with customers on a range of topics from machine learning to security and governance at scale. About the authors Henrik Balle is a Sr.

Machine Learning 76

Machine Learning Machine Learning ML ML 76

Tableau

APRIL 8, 2021

Data collection was haphazard and slightly unreliable: updates were manual and came from Twitter, emails, and news sites. John-Burn Murdoch’s brainwave was to take charts directly to a global audience through Twitter and share updated daily views for six consecutive weeks. Also, I wrote more on this topic in Computer Weekly. .

Data Visualization 134

Data Visualization Tableau 134

Google Research AI blog

JANUARY 24, 2023

For example, we look to external communities to guide understanding of when and why our evaluations fall short using participatory systems , which explicitly enable joint ownership of predictions and allow people to choose whether to disclose on sensitive topics.

AI 99

AI AI ML ML 99

Tableau

APRIL 8, 2021

Data collection was haphazard and slightly unreliable: updates were manual and came from Twitter, emails, and news sites. John-Burn Murdoch’s brainwave was to take charts directly to a global audience through Twitter and share updated daily views for six consecutive weeks. Also, I wrote more on this topic in Computer Weekly. .

Data Visualization 52

Data Visualization Tableau 52