Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). They’re mostly trained on general domain corpora, making them less effective on domain-specific tasks.

Algorithm 101

Algorithm Machine Learning Machine Learning Natural Language Processing 101

Towards AI

JULY 19, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Neural Magic Neural Magic has 6 repositories available. Follow their code on GitHub. SparseZoo: a model repo for sparse models. Connected Papers

Natural Language Processing 98

Natural Language Processing Azure Python Artificial Intelligence 98

ODSC - Open Data Science

SEPTEMBER 21, 2023

After all, this is what machine learning really is; a series of algorithms rooted in mathematics that can iterate some internal parameters based on data. This is understandable: a report by PwC in 2018 suggested that 30% of UK jobs will be impacted by automation by the 2030s Will Robots Really Steal Our Jobs?

Machine Learning 98

Machine Learning Machine Learning ML ML 98

AWS Machine Learning Blog

JANUARY 13, 2023

This dataset comprises a multi-center critical care database collected from over 200 hospitals, which makes it ideal to test our FL experiments. We used the eICU Collaborative Research Database , a multi-center intensive care unit (ICU) database, comprising 200,859 patient unit encounters for 139,367 unique patients.

AWS 99

AWS Analytics Analytics Machine Learning 99

Mlearning.ai

JANUARY 26, 2023

2018, July). In IGARSS 2018–2018 IEEE International Geoscience and Remote Sensing Symposium (pp. In the EU, database copyright only covers the structure of the database and not the contents, but the contents may have sui generis rights, though that is not clear and possibly varies with the method used to collect the data.

AWS 98

AWS Database Data Science Clean Data 98

Pickl AI

DECEMBER 2, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos).

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos).

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Smart Data Collective

JANUARY 22, 2020

In November 2018, Marriott International announced that cyber thieves stole data on 500 million customers. Such technologies are well known, and algorithms and reliable protocols AES, TLS, IPsec have long been used by providers. At the same time, the cases of data leakages among large corporation still take place. Data Security.

Cloud Computing 74

Cloud Computing Data Warehouse Database Algorithm 74

Towards AI

JULY 21, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Neural Magic Neural Magic has 6 repositories available. Follow their code on GitHub. SparseZoo: a model repo for sparse models. Connected Papers

Natural Language Processing 52

Natural Language Processing Azure Python Artificial Intelligence 52

AWS Machine Learning Blog

MAY 22, 2023

EBS volumes are particularly well-suited for use as the primary storage for file systems, databases, or for any applications that require fine granular updates and access to raw, unformatted, block-level storage. We recommend Amazon EBS for data that must be quickly accessible and requires long-term persistence.

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AWS Machine Learning Machine Learning Natural Language Processing 111

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN. This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously.

AWS 113

AWS ML ML Clustering 113

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.

Python 181

Python Algorithm Machine Learning Machine Learning 181

Mlearning.ai

JUNE 8, 2023

Use algorithm to determine closeness/similarity of points. Like traditional database index, vector index organizes the vectors into a data structure and makes it possible to navigate through the vectors and find the ones that are closest in terms of semantic similarity. This is embedding/vector/vector embedding for this article.

Machine Learning 52

Machine Learning Machine Learning Clustering Database 52

AWS Machine Learning Blog

OCTOBER 2, 2024

Laying the groundwork: Collecting ground truth data The foundation of any successful agent is high-quality ground truth data—the accurate, real-world observations used as reference for benchmarks and evaluating the performance of a model, algorithm, or system. Andrew Gordon Wilson before joining Amazon in 2018.

AI 98

AI AI AWS Machine Learning 98

IBM Journey to AI blog

AUGUST 2, 2024

These include biometric categorization systems based on sensitive characteristics, untargeted scraping of facial images from the internet or CCTV footage to create facial recognition databases, emotion recognition in the workplace and schools, and predictive policing. ” asks Dalen.

AI 49

AI AI Artificial Intelligence Artificial Intelligence 49

Mlearning.ai

JANUARY 17, 2024

The foundations for today’s generative language applications were elaborated in the 1990s ( Hochreiter , Schmidhuber ), and the whole field took off around 2018 ( Radford , Devlin , et al.). Generative AI models usually have millions of neurons and billions of synapses (aka „ parameters “).

AI 98

AI AI Deep Learning Deep Learning 98

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. Utilizing its CognitiveML engine, Iodine Software implements advanced machine learning across various use-case scenarios within a database of patient admissions.

Natural Language Processing 91

Natural Language Processing AI AI Artificial Intelligence 91

PyImageSearch

JANUARY 2, 2023

Health startups and tech companies aiming to integrate AI technologies account for a large proportion of AI-specific investments, accounting for up to $2 billion in 2018 ( Figure 1 ). For example, the Institute of Cancer Research cancer database combines genetic and clinical data from patients with information from scientific research.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group. sequence protein database with annotations. MGnify proteins A 2.4B-sequence

ML 72

ML ML Deep Learning Deep Learning 72

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

Mlearning.ai

MARCH 15, 2023

Emergence Google coined the term federated learning (FL) during the Cambridge Analytical scandal of 2018. Model aggregation occurs when the central ML model receives updates from the IoT devices to improve it (one common approach is using the federated averaging algorithm ). The IoT devices send model updates to the central server.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ML Review

MAY 3, 2018

17] “ LipNet ” introduces the first approach for an end-to-end lip reading algorithm at sentence level. 27] LipNet also makes use of an additional algorithm typically used in speech recognition systems — a Connectionist Temporal Classification (CTC) output. Thus the algorithm is alignment-free. Vive Differentiable Programming!

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

Explosion

NOVEMBER 21, 2019

al, 2015) is a twist on the word2vec family of algorithms that lets you learn more interesting word vectors. s2v_reddit_md") seed_keys = [s2v.get_best_sense(seed) for seed in seeds] most_similar = s2v.most_similar(seed_keys, n=10) As we annotate, the answers are sent back to the server and stored in the database.

Natural Language Processing 52

Natural Language Processing Data Scientist Machine Learning Machine Learning 52

The MLOps Blog

JULY 18, 2023

Then we subsequently try to run audio fingerprinting type algorithms on top of it so that we can actually identify specifically who those people are if we’ve seen them in the past. We need to do that, but we don’t really know what those topics are, so we use some algorithms. We call it our “format stage.”

AI 52

AI AI Natural Language Processing Machine Learning 52

Smart Data Collective

JANUARY 19, 2021

According to Investopedia.com, blockchains are databases that are irreversible and decentralized which makes it a great tool for business and finance in a new technological era. As mentioned above, blockchains are essentially databases, but not your typical database. Bitcoin has been very important for many businesses.

Database 139

Database Artificial Intelligence Artificial Intelligence Algorithm 139

DrivenData Labs

SEPTEMBER 10, 2024

Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Top solvers from Phase 2 demonstrate algorithmic approaches on diverse datasets and share their results at an innovation event. Phase 2 [Build IT!] Phase 3 [Put IT All Together!]

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147

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 Machine Learning Computer Science 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.

Algorithm 171

Algorithm Machine Learning Machine Learning Data Science 171

DataSeries

JUNE 4, 2023

In 2018, I wrote an article discussing the creation of the internet — whether intentional or accidental, I’ll leave that debate aside — for the purpose of establishing the foundation for artificial intelligence ( click here to read ). is not rocket science and nothing more than an algorithm. Consequently, A.I.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm Database 52

Hacker News

FEBRUARY 16, 2023

Each layer can then be tested independently. // JavaScript const input = infrastructure.readData(); const output = logic.processInput(input); infrastructure.writeData(output); This simple algorithm can handle sophisticated needs if put into a stateful loop. For databases, access a real database. It’s easy to make a mistake.

Database 172

Database Algorithm 172

IBM Journey to AI blog

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services.

AI 119

AI AI Artificial Intelligence Artificial Intelligence 119

Cambridge Intelligence

JUNE 21, 2023

Core4ce Cyberscape: unmasking cyber threats Since 2018, Core4ce’s team of data scientists, engineers, and cyber experts has helped the US federal government solve complex challenges with data. That’s exactly what Core4ce’s Cyberscape platform does. Bridging data silos Once we have our seed nodes on the chart, we start enriching them.

Data Silos 52

Data Silos Data Scientist Database Algorithm 52

Hacker News

NOVEMBER 3, 2024

In 2018, GlaxoSmithKline (GSK) piloted a new vaccine that may outmatch the BCG vaccine in treating pulmonary TB in adults. Researchers in 2018 tested out another TB vaccine, called H4:IC31 , against two control groups — a placebo arm and an arm receiving a BCG booster. OK, Computer. tuberculosis. coli bacteria from growing.

Machine Learning 144

Machine Learning Machine Learning Clustering Algorithm 144

AWS Machine Learning Blog

NOVEMBER 18, 2024

Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.

SQL 101

SQL Database AWS AI 101