Pickl AI

AUGUST 1, 2023

The surge of digitization and its growing penetration across the industry spectrum has increased the relevance of text mining in Data Science. Text mining is primarily a technique in the field of Data Science that encompasses the extraction of meaningful insights and information from unstructured textual data.

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. That’s why the U.S. The goal of the U.S.-U.K.

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Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Dataconomy

SEPTEMBER 4, 2023

The modern corporate world is more data-driven, and companies are always looking for new methods to make use of the vast data at their disposal. Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. Cloud analytics is one example of a new technology that has changed the game.

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Dataconomy

JULY 4, 2023

It’s also about using AI and ML to gain insights into your data and make better decisions. Tools for process mining and task mining, which help identify and prioritize areas where automation can be applied Automation development tools that make it easier and more cost-effective to build automation.

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ODSC - Open Data Science

JUNE 7, 2023

Max Welling PhD | Distinguished Scientist @ Microsoft Research Dr. Welling is a Professor at the University of Amsterdam and a Distinguished Scientist at Microsoft Research (MSR). She has led the development of the text-mining tools and services currently used in NaCTeM with the aim of providing scalable text-mining services.

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ODSC - Open Data Science

AUGUST 21, 2023

This year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners. This year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Flipboard

JUNE 20, 2023

Numerous fields, including architecture, gaming, virtual reality, and the synthesis of synthetic data, might benefit from this technique. Numerous fields, including architecture, gaming, virtual reality, and the synthesis of synthetic data, might benefit from this technique. What makes it possible?

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ODSC - Open Data Science

JUNE 9, 2023

Topics covered during the event include: Generative Models | Training Techniques | Applications | Interpreting Gen AI | Ethics & Governance | Future Trends Confirmed Speakers We’ve already announced our first group of expert speakers. This year has been dominated by new developments and advances in generative AI. Check them out below.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Flipboard

DECEMBER 17, 2023

Real-World Use and Implications At JLL , we have our own proprietary version of ChatGPT with our own, in-house data that makes it super relevant to our work. We had surveyed one of our large clients to get employee input on moving toward a hybrid workplace model with unassigned workstations.

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Google Research AI blog

MAY 25, 2023

Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google Research, Graph Mining team Clustering is a central problem in unsupervised machine learning (ML) with many applications across domains in both industry and academic research more broadly. When clustering is applied to personal data (e.g.,

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Smart Data Collective

JUNE 23, 2022

Data analytics technology has become a pillar in modern business. A growing number of companies are utilizing data analytics to improve their operating strategies. One of the most important functions that data analytics is helping with is finance. The right data analytics tools can be very valuable.

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Dataconomy

JULY 28, 2023

Data preprocessing is a fundamental and essential step in the field of sentiment analysis, a prominent branch of natural language processing (NLP). Sentiment analysis focuses on discerning the emotions and attitudes expressed in textual data, such as social media posts, product reviews, customer feedback, and online comments.

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Smart Data Collective

NOVEMBER 1, 2020

If you have labeled training data that you can use as a training example, we’ll call it supervised machine learning. Unlike supervised ML, we do not manage the unsupervised model. Overall, unsupervised algorithms get to the point of unspecified data bits. Clustering – Exploration of Data.

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Flipboard

JULY 10, 2023

A fuzzy blob coalesces into a molecular model of a protein, its pastel atoms wrapping precisely around its biological target, an immune system modulator. Some of the new protein design tools even are “large language models” like ChatGPT, which creates text from prompts. IPD director David Baker.

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Towards AI

MAY 12, 2023

Photo by mohamed_hassan on Pixabay The IT business world has been abuzz with controversy related to Large Language Models (LLMs). One of the hot topics is whether GPT-like models can replace humans for data annotation and generation tasks. ChatGPT), and GPT 4 models and labelers from the Toloka crowdsourcing platform (Tolokers).

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O'Reilly Media

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI.

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Towards AI

JANUARY 28, 2024

Image by [link] Machine learning, data mining, deep learning, and advanced optimization algorithms all rely heavily on linear algebra. In operations research, Gaussian elimination is used in simplex algorithms to solve optimization problems. First and foremost, I would like to provide motivation.

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Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

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ODSC - Open Data Science

APRIL 26, 2023

With that said, let’s take a look at a few specific areas of research that is seeing AI taking the lead. With that said, let’s take a look at a few specific areas of research that is seeing AI taking the lead. One example of this is DeepMind’s AlphaFold which focuses on protein structure prediction.

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Smart Data Collective

FEBRUARY 15, 2022

Data analytics has become a very important part of business management. Large corporations all over the world have discovered the wonders of using big data to develop a competitive edge in an increasingly competitive global market. American Express is an example of a company that has used big data to improve its business model.

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Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Here’s why.

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Smart Data Collective

JANUARY 11, 2023

Many businesses are taking advantage of big data to improve their marketing and financial management practices. billion on big data marketing in 2020 and this figure is likely to grow further in the years to come. Some of the case studies on the benefits of data-driven marketing are quite promising. Businesses spent over $14.2

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Pickl AI

JANUARY 23, 2023

The surge of Data Science across the different industrial domains has made it one of the most powerful technologies. One of the major transformations that Data Science will trigger is its application in the healthcare segment. One of the major transformations that Data Science will trigger is its application in the healthcare segment.

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Heartbeat

FEBRUARY 8, 2023

By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities. Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence.

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Smart Data Collective

OCTOBER 31, 2021

Many e-commerce sites are discovering more innovative ways to apply data analytics. The good news is that highly advanced predictive analytics and other data analytics algorithms can assist with all of these aspects of the design process. This involves identifying an area of interest that will allow you to compete in times of crisis.

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Smart Data Collective

FEBRUARY 9, 2022

A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. For example, they can be used for studying price charts and other forms of financial data. This is possible one of the best reasons to use the data analytics features provided by DirectX.

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Pickl AI

MAY 9, 2023

Quantitative Analysts are the professionals who focus on the creation of complex models of computation that helps businesses understand their financial conditions better. These specialists make use of the environmental studies and financial models for examining and evaluating the performances of firms.

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DataRobot

JUNE 10, 2021

To foster innovation in this area, AICrowd hosted a competition to predict the olfactory properties of a molecule. You can now analyze the new verbose extracted features using text-mining techniques such as bag-of-words. The best model for this dataset is a Keras-based neural network.

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ODSC - Open Data Science

JULY 25, 2023

What Can AI Teach Us About Data Centers? Part 3: Economic, Political, and Environmental Concerns, and New Developments Environmental, political, and economic concerns can easily derail or complicate decisions about how to invest in or use data center technology. My questions are in bold italics, and ChatGPT’s answers follow.

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PyImageSearch

JANUARY 2, 2023

Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate. COVID-19 has also accelerated the pace of transition to digital health applications, including those that integrate AI.

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Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

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DrivenData Labs

JUNE 14, 2023

Ed Pizzi, Meta AI Research Scientist and Video Similarity Challenge author The ability to identify and track content on social media platforms, called content tracing, is crucial to the experience of billions of users on these platforms. The winning solutions significantly improved on the baseline models provided by Meta.

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DrivenData Labs

APRIL 10, 2024

The Challenge ¶ Motivation ¶ Much of the world's healthcare data is stored in free-text documents, usually clinical notes taken by doctors. This unstructured data can be challenging to analyze and extract meaningful insights from. Below is a synthetic example that illustrates the basic structure of the task.

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Becoming Human

MARCH 16, 2023

De novo drug design : They can use computer modeling and simulation to develop novel chemical compounds that can do the job. Biologics : Researchers can also generate biological molecules like antibodies, enzymes, or proteins to act as drugs. Traditional drug discovery has long been notoriously difficult.

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