Smart Data Collective

AUGUST 25, 2022

In fact, as we stated before, it is the most important technological development of the 21st Century. In fact, as we stated before, it is the most important technological development of the 21st Century. The IoT empowers organizations with real-time information that was once too expensive or difficult to collect.

Internet of Things 127

Internet of Things 127

Cambridge Intelligence

FEBRUARY 6, 2023

Using our graph visualization toolkits to map a complex system of energy pipelines across Europe Our world has become much more geo-orientated since the explosion of smart technology like cellphones, watches, fitness trackers and more. Geospatial data can have a time-based element too.

Data Visualization 52

Data Visualization Algorithm 52

The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Nice to have you here, Miki.

ML 52

ML ML Data Scientist Machine Learning 52

The MLOps Blog

APRIL 17, 2023

As an MLOps engineer on your team, you are often tasked with improving the workflow of your data scientists by adding capabilities to your ML platform or by building standalone tools for them to use. The focus of this guide is to give you the necessary building blocks to build a tool that works for your team.

Data Scientist 52

Data Scientist ML ML Machine Learning 52

The MLOps Blog

JANUARY 23, 2023

They tackle the ugly problem in the canonical MLOps movement: How do all those MLOps stack components actually relate to each other and work together? In this article, I share how our reality as the MLOps tooling company and my personal views on MLOps agree (and disagree) with it. Came to ML from software. Not a fork.

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ML ML Data Scientist Machine Learning 59

Dataconomy

JULY 14, 2023

This means that machines can now learn from each other and make decisions on their own. Imagine a world where your car can drive itself, your appliances can order their own groceries, and your healthcare devices can monitor your vital signs 24/7. The possibilities for Machine to Machine systems are endless.

Cloud Computing 91

Cloud Computing Machine Learning Machine Learning Internet of Things 91

Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. Brief Background of Machine Learning Did you know that machine learning is a part of artificial intelligence that enables computers to learn from data without explicit programming using statistical techniques? Many call this software 2.0.

Machine Learning 104

Machine Learning Machine Learning Deep Learning Deep Learning 104