IBM Big Data Hub

JANUARY 5, 2024

In this article, we’ll look back at the history and evolution of cryptography. 2001: Responding to advancements in computing power, the DES was replaced by the more robust Advanced Encryption Standard (AES) encryption algorithm.

Consulting 101

Consulting Technology Risk Publishing 101

Smart Data Collective

JULY 19, 2022

This article is written for anyone who is keen on getting more familiar with VPN protocols for optimal data privacy and knowing which ones you should look for. But as technology developed, PPTP’s fundamental data encryption was soon broken, putting its underlying security at risk. What is VPN Protocol?

IT 119

IT Measurement Risk Optimization 119

IBM Big Data Hub

JULY 6, 2023

” “Data science” was first used as an independent discipline in 2001. Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. Both data science and machine learning are used by data engineers and in almost every industry.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. Welcome back to our monthly burst of themes and conferences.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

Greg Linden ‘s article about splitting the website on Amazon. What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things. You see these drivers involving risk and cost, but also opportunity.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

The Unofficial Google Data Science Blog

JUNE 30, 2016

Choosing the tuning parameters for data-adaptive methods such as regression trees and MARS is the subject of a large number of research articles and books. For a more detailed discussion the interested reader is referred to the original research article by Imai & Ratkovic (2014). 2001): 5-32. Bibliography Breiman, Leo.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? In terms of teaching and learning data science, Project Jupyter is probably the biggest news over the past decade – even though Jupyter’s origins go back to 2001! In business terms, why does this matter ? However, MOOCs have limitations.

Data Science 56

Data Science Machine Learning Reporting Visualization 56