ODSC - Open Data Science

JULY 3, 2025

She’s the co-author of O’Reilly books on Graph Algorithms and Knowledge Graphs as well as a contributor to the Routledge book, Massive Graph Analytics , and the Bloomsbury book, AI on Trial. Emmanuel has worked on ML pipelines since 2017 at Instacart and Cruise.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Flipboard

JUNE 11, 2025

Together, MIT SMR and BCG have been researching and publishing on AI since 2017, interviewing hundreds of practitioners and surveying thousands of companies on what it takes to build and to deploy and scale AI capabilities, and really transform the way organizations operate. We train the AI algorithm to define that as cancer.

Artificial Intelligence 112

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DrivenData Labs

DECEMBER 11, 2024

AlphaFold , a protein folding prediction model for which a Nobel prize was recently awarded , can do work in hours that previously took years, and the AlphaFold Protein Structure Database makes all known protein structures freely available to all scientists. Of course, the answer is also not to avoid algorithms and automation altogether.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer. This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously.

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AWS ML ML Clustering 117

Google Research AI blog

FEBRUARY 2, 2023

With the increasing sophistication of the algorithms and hardware in use today and with the scale at which they run, the complexity of the software necessary to carry out day-to-day tasks only increases. For example, when the Transformer model was first published in 2017, a popular GPU was the Nvidia P100. Mechanization.

ML 72

ML ML Algorithm Machine Learning 72

ML Review

MAY 3, 2018

In Deep Learning: Practice and Trends (NIPS 2017) [2] , prominent researchers offered a simple abstraction — that virtually all deep learning approaches can be characterised as either augmenting architectures or loss functions, or applying the previous to new input/output combinations. Thus the algorithm is alignment-free.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

Cambridge Intelligence

NOVEMBER 7, 2022

We’ve seen significant interest in TigerGraph’s fast, scalable graph database platform recently. In response, I put together this TigerGraph tutorial to create a React graph visualization application that integrates with their cloud database. Now we’ll create a database query that we can use in ReGraph.

Database 52

Database SQL Data Scientist Data Visualization 52

Dataconomy

MARCH 7, 2023

Its replies are a hybrid of pre-programmed scripts and machine-learning algorithms. These systems rely on machine learning and deep learning, both of which are forms of artificial intelligence (AI) with subtle distinctions, to build a database of questions and answers based on user interactions.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

Explosion

AUGUST 3, 2017

To keep the system requirements to a minimum, data is stored in an SQLite database by default. Supervised learning algorithms have been improving quickly, leading many people to anticipate a new wave of entirely un supervised algorithms : algorithms so “advanced” they can compute whatever you want, without you specifying what that might be.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52

Hacker News

JANUARY 9, 2024

Sometimes it’s a story of creating a superalgorithm that encapsulates decades of algorithmic development. And in a similar vein, we can expect LLMs to be useful in making connections to external databases, functions, etc. In addition, a new algorithm in Version 14.0 had 554 built-in functions; in Version 14.0 there are 6602.

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Python Algorithm Machine Learning Machine Learning 181

Hacker News

JUNE 25, 2025

The Open Energy Profiler Toolset (OpenEPT) ecosystem will provide diverse hardware solutions, a user-friendly interface encapsulated in a GUI application, and a collaborative database infrastructure that brings together engineers and researchers to drive innovations in the field of battery-powered technologies.

EDA 60

EDA Algorithm Database Data Visualization 60

Dataconomy

AUGUST 10, 2023

With the application of natural language processing (NLP) and machine learning algorithms, AI systems can understand and translate spoken language into written notes. Founded in 2017, DeepScribe’s unique system employs proprietary AI that listens to and records patient-doctor interactions in real-time through a secure iOS application.

Natural Language Processing 91

Natural Language Processing AI AI Artificial Intelligence 91

PyImageSearch

JANUARY 2, 2023

For example, the Institute of Cancer Research cancer database combines genetic and clinical data from patients with information from scientific research. Machine learning algorithms can also recognize patterns in DNA sequences and predict a patient’s probability of developing an illness.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Mlearning.ai

FEBRUARY 11, 2023

We trained our model on a dataset using various Machine Learning algorithms. pyc) Databases (*.db) 2017) Flask: Building Python Web Services. A Step-To-Step Guide to the Deployment of Python Flask Apps on Heroku Photo: Pixabay on Pexels Introduction We built our model. We calculated the accuracy of our model on testing data.

Python 52

Python Machine Learning Machine Learning Database 52

The MLOps Blog

DECEMBER 28, 2022

Organization Acquia Industry Software-as-a-service Team size Acquia built an ML team five years ago in 2017 and has a team size of 6. Team composition The team comprises data pipeline engineers, ML engineers, full-stack engineers, and data scientists.

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ML ML Data Scientist Machine Learning 78

Heartbeat

DECEMBER 8, 2023

Here are a few reasons why an agent needs tools: Access to external resources: Tools allow an agent to access and retrieve information from external sources, such as databases, APIs, or web scraping. This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

Dataconomy

APRIL 25, 2023

🌵 ♬ use this audio if im the best editor oat – alpine Wolfram Alpha : Wolfram Alpha is a computational knowledge engine that can answer any question or query using its vast database of facts and algorithms. You can use Diffbot to build your own custom databases or APIs for any purpose.

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AI AI Artificial Intelligence Artificial Intelligence 217

Hacker News

DECEMBER 13, 2023

Jerry was founded in 2017 by serial entrepreneurs and has raised more than $242 million in financing. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 4 million customers — and we’re just getting started.

Computer Science 103

Computer Science Computer Science Data Scientist Artificial Intelligence 103

Hacker News

JANUARY 9, 2025

But it turns out that beyond the lemma we already discussed there are only three (highlighted here) that appear in the proof we are studying here: And indeed the main algorithmic challenge of theorem proving is to figure out which lemmas to generate in order to get a path to the theorem ones trying to prove. will tend to do better.

Algorithm 181

Algorithm Machine Learning Computer Science Machine Learning 181

Hacker News

MARCH 18, 2025

And so were in a position to compare the results of human effort (aided, in many cases, by systematic search) with what we can automatically do by the algorithmic process of adaptive evolution. Butas was actually already realized in the mid-1990sits still possible to use algorithmic methods to fill in pieces of patterns.

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Algorithm Machine Learning Machine Learning Data Science 163

IBM Journey to AI blog

JULY 19, 2023

Business Value As per FAERS database , the number of reported AEs has grown 2.5x The burden from growing event volumes is reflected in budgets that are expected to grow from an estimated USD 4 billion in 2017 to over 6 billion by 2020. More than half of algorithms on the U.S. in 10 years, from 2012 to 2022.

AWS 73

AWS AI AI Machine Learning 73

Dataconomy

APRIL 2, 2025

Le Monde, one of the leading French newspapers, identified and corrected 19 misleading statements made by Marine Le Pen , the extreme-right candidate who reached the runoff of the 2017 French presidential election, during her televised debate against Emmanuel Macron. This is the power that technology can bring.

AI 103

AI AI Artificial Intelligence Artificial Intelligence 103

Mlearning.ai

FEBRUARY 10, 2023

Back in 2016 I was trying to explain to software engineers how to think about machine learning models from a software design perspective; I told them that they should think of a database. Photo by Tobias Fischer on Unsplash What are databases used for? How are neural networks like databases? ICES Journal of Marine Science.

Database 52

Database Data Warehouse Machine Learning Machine Learning 52