Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

Data Science 130

Data Science Data Scientist Data Analyst Machine Learning 130

IBM Journey to AI blog

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning.

AI 80

AI AI Natural Language Processing Machine Learning 80

DrivenData Labs

MARCH 30, 2023

Modeling ¶ Most teams experimented with a variety of modeling algorithms, and many noted that the privacy techniques in their solutions could be paired with more than one family of machine learning models. We are excited to take on this challenge and continue pushing the boundaries of machine learning research.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

Cambridge Intelligence

MAY 12, 2024

But many of them are now using machine learning models to identify the latest trends in money laundering, developing advanced algorithms that continuously evolve and improve. Also think about the vastly complex neural networks that rely on natural language processing (NLP) to interpret queries and communicate results to users.

Data Visualization 52

Data Visualization Natural Language Processing Database Data Analysis 52

Snorkel AI

APRIL 25, 2023

What kind of algorithms are you using to run your models? Then of course, the third piece is not really just the datasets themselves on the training and tests, but it’s also the algorithms that are actually used to construct the data. And algorithms. What’s the silicon substrate? Where do you apply them?

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

APRIL 25, 2023

What kind of algorithms are you using to run your models? Then of course, the third piece is not really just the datasets themselves on the training and tests, but it’s also the algorithms that are actually used to construct the data. And algorithms. What’s the silicon substrate? Where do you apply them?

Machine Learning 52

Machine Learning Machine Learning ML ML 52