Comet, the provider of the leading development platform for enterprise machine learning (ML) teams, announced the results of its recent survey of machine learning professionals. Hundreds of enterprise ML team leaders were asked about their experiences and the factors that affected their teams’ ability to deliver the level of business value their organizations expected from ML initiatives.
Search Results for: machine learning
Book Review: Machine Learning with PyTorch and Scikit-Learn
March 18, 2022 by Leave a Comment
The enticing new title courtesy of Packt Publishing, “Machine Learning with PyTorch and Scikit-Learn,” by Sebastian Raschka, Yuxi (Hayden) Liu, and Vahid Mirjalili is a welcome addition to any data scientist’s list of learning resources. This 2022 tome consists of 741 well-crafted pages designed to provide a comprehensive framework for working in the realm of machine learning and deep learning. The book is brimming with topics that will propel you to a leading-edge understanding of the field.
SPEC Establishes Machine Learning Committee to Develop Vendor-Agnostic Benchmarks
March 10, 2022 by Leave a Comment
The Standard Performance Evaluation Corp. (SPEC) announced the formation of the SPEC Machine Learning Committee. The SPEC ML Committee will develop practical methodologies for benchmarking artificial intelligence (AI) and machine learning (ML) performance in the context of real-world platforms and environments.
University of Illinois Professor’s Expertise in Machine Learning for Audio Benefits Creation of New Beatles Documentary
March 5, 2022 by Leave a Comment
From the first time he used a synthesizer, Illinois Computer Science professor Paris Smaragdis knew that he wanted to learn how technology could make or alter music. What’s followed is a career in academia that centered his Artificial Intelligence research on the question: What does it mean to take a stream of sound and then break it down into its individual components? Nothing he’s accomplished has been more “mind-bending” than the recent work he completed with a team of engineers to boost the audio quality of director Peter Jackson’s recent documentary titled “The Beatles: Get Back.”
apply() meetup | February 10, 2022 – A free virtual event on data engineering for applied Machine Learning
February 9, 2022 by
Join Tecton at #applyCommunityMeetup, February 10, presented by tectonAI and other apply() partners. Learn the latest trends and new best practices for #MLOps and ML data engineering! Grab your FREE ticket today!
3 Ways AI and Machine Learning are Helping Invoices Processing Automation
February 5, 2022 by Leave a Comment
In this contributed article, IT and digital marketing specialist Natasha Lane, takes a look at how exactly AI and ML can help businesses improve their processes. Let’s look at the three ways the two can help invoice processing automation.
Video Highlights: MLDataR – a Data Package for Supervised Machine Learning in R
January 11, 2022 by Leave a Comment
The video presentation below is courtesy of Gary Hutson, regarding a new R package he launched recently on CRAN to provide example ML data sets for supervised machine learning problems. The data sets have examples in healthcare, but he plans to widen to include other types of data.
68% of CTOs have Implemented Machine Learning at their Organization
January 8, 2022 by Leave a Comment
Research from STX Next, Europe’s largest software development company specializing in the Python programming language, has found that 68% of chief technical officers (CTOs) have implemented machine learning at their company. This makes it overwhelmingly the most popular subset of AI, with others such as natural language processing (NLP), pattern recognition and deep learning also showing considerable growth.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2021
January 6, 2022 by Leave a Comment
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Looking Beyond the Incumbent: Setting New Goals for Machine Learning & Artificial Intelligence for 2022
December 27, 2021 by Leave a Comment
In this contributed article, Patrice Simard, CEO and Co-founder of Intelus.ai, proposes an alternative for organizations of all sizes to develop more effective ways to leverage machine learning and artificial intelligence. The goal is not to disparage anyone’s approach; rather, it is to offer a framework that empowers smaller stakeholders, alongside major players seeking to innovate.
