Smart Data Collective

MARCH 17, 2020

The concept of data science was first introduced in 2001, but it started gaining popularity in 2010. That’s where the machine learning came to existence. Data Science is a prerequisite of machine learning. Machine learning is not limited to one type of development. Sexiest Job of 21 st Century.

Data Science 120

Data Science Data Scientist Big Data Big Data 120

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 145

Tableau ML ML Database 145

AWS Machine Learning Blog

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. The fundamental objective is to build a manufacturer-agnostic database, leveraging generative AI’s ability to standardize sensor outputs, synchronize data, and facilitate precise corrections.

AWS 131

AWS Python AI AI 131

AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. Load into the SQL database for later querying.

SQL 128

SQL AWS Analytics Analytics 128

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first OEM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 98

Tableau ML ML Database 98

Flipboard

FEBRUARY 7, 2023

Amazon SageMaker Studio Lab provides no-cost access to a machine learning (ML) development environment to everyone with an email address. This post is co-written with Stephen Aylward, Matt McCormick, Brianna Major from Kitware and Justin Kirby from the Frederick National Laboratory for Cancer Research (FNLCR).

AWS 132

AWS ML ML Deep Learning 132

Towards AI

JULY 19, 2023

If you want to check out the new v3 features from spaCy, check out their blog post here: [link] Large Database of 90M Indian Legal Cases “Development Data Lab has processed and de-identified legal case records for all lower courts in India filed between 2010–2018, using the government’s online case-management portal — E-courts.

Natural Language Processing 98

Natural Language Processing Azure Python Artificial Intelligence 98

Pickl AI

SEPTEMBER 20, 2024

Summary: Apache Cassandra and MongoDB are leading NoSQL databases with unique strengths. Introduction In the realm of database management systems, two prominent players have emerged in the NoSQL landscape: Apache Cassandra and MongoDB. MongoDB is another leading NoSQL database that operates on a document-oriented model.

Database 52

Database Clustering Data Modeling Data Models 52

Dataconomy

NOVEMBER 3, 2023

in 2010 , found that camel case identifiers led to higher accuracy and lower visual effort when compared to snake case identifiers. How to choose a programming language for your machine learning project? It is also used for database table and column names in some operating systems.

Machine Learning 103

Machine Learning Machine Learning Database Python 103

AWS Machine Learning Blog

APRIL 16, 2024

AWSTemplateFormatVersion: "2010-09-09" Transform: AWS::Serverless-2016-10-31 Description: CloudFormation template for book hotel bot. Similarly, you can use a Lambda function for fulfillment as well, for example writing data to databases or calling APIs save the collected information. Resources: # 1.

AWS 119

AWS Deep Learning Deep Learning Artificial Intelligence 119

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). From 2010 onwards, other PBAs have started becoming available to consumers, such as AWS Trainium , Google’s TPU , and Graphcore’s IPU. For these three training approaches, the role of PBAs varies.

AWS 108

AWS ML ML Clustering 108

Towards AI

JULY 21, 2023

If you want to check out the new v3 features from spaCy, check out their blog post here: [link] Large Database of 90M Indian Legal Cases “Development Data Lab has processed and de-identified legal case records for all lower courts in India filed between 2010–2018, using the government’s online case-management portal — E-courts.

Natural Language Processing 52

Natural Language Processing Azure Python Artificial Intelligence 52

DrivenData Labs

SEPTEMBER 10, 2024

In the main track of Phase 1, solvers submitted a written description of a shareable dataset that could support novel machine learning approaches for early prediction of AD/ADRD, with an emphasis on addressing biases in existing data sources. These patients, aged 60-75, were eventually diagnosed with AD/ADRD.

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147

Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. After you create a free account, you’ll have access to the best machine learning datasets. Importance and Role of Datasets in Machine Learning Data is king.

Machine Learning 123

Machine Learning Machine Learning Deep Learning Deep Learning 123

Hacker News

MARCH 18, 2025

And as a first indication of this, we can plot the number of new Life structures that have been identified each year (or, more specifically, the number of structures deemed significant enough to name, and to record in the LifeWiki database or its predecessors): Theres an immediate impression of several waves of activity.

Algorithm 160

Algorithm Machine Learning Machine Learning Data Science 160

Flipboard

JULY 23, 2023

Without databases, most software applications would not be possible. Of course, we can’t miss Artificial Intelligence, Deep Learning, Machine Learning, Data Science, HPC, Blockchain, and IoT, which totally relies on data and definitely need a database to store them and process them later.

Database 123

Database Artificial Intelligence Artificial Intelligence Deep Learning 123

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