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MLOps and the evolution of data science

IBM Big Data Hub

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

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The InnoGraph Artificial Intelligence Taxonomy

Ontotext

As of the end of 2022, Github had 94 million Developers, 4 million Organizations, 330 million Repositories. The taxonomy integrates various data sources, offering a holistic view of AI innovation. So how can we find as many AI-relevant repositories on Github as possible? We can start with a connecting dataset like LinkedPapersWithCode.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

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15 Best Data Analysis Tools You Can’t Miss in 2022

FineReport

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. RapidMiner. From RapidMiner.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. Best for : the new intern who has no idea what data science even means.

Big Data 263
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Why We Started the Data Intelligence Project

Alation

Universities were only just beginning to plan formal academic data science programs, and the skills to be taught in those programs were still being identified. This year, there are more than 900 academic programs offering training in data science. A lack of data literacy slows down the process.