There’s good reason why the word “modern” is in the title of this new title from CRC Press: “Modern Data Science with R, 2nd,” by 3 professors Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton – the goal of the text is to provide a solid guide for state-of-the-art data science with the […]
Search Results for: data science
2022 Trends in Data Science: Newfound Ease and Accessibility
November 12, 2021 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses some important trends for the next year in terms of how 2022 will embrace data science, the convergence of supervised and unsupervised learning, and structuring unstructured data, for newfound ease and accessibility. Data science has always been characterized by innovation and opportunity.
Low Code Data Science is Not the Same as Automated Machine Learning
October 7, 2021 by Leave a Comment
[SPONSORED POST] In this special guest feature, Rosaria Silipo, Ph.D., Principal Data Scientist at KNIME, discusses the difference between automated Machine Learning and low code tools for data science. Low code tools are becoming more and more popular. They allow to perform certain tasks without the need of coding. They are based on visual programming, that is on a drag & drop interface to build a pipeline of blocks, each block implementing a dedicated task.
Mathematical Optimization: A Powerful Prescriptive Analytics Technology That Belongs In Your Data Science Toolbox
August 23, 2021 by Leave a Comment
In this special guest feature, Dr. Gregory Glockner, Vice President and Technical Fellow at Gurobi, explains how you can get started using mathematical optimization and provides some examples of how this prescriptive analytics technology can be combined with machine learning to deliver business benefits across various industries.
KDD 2021 – Largest International Data Science Conference to Showcase the Latest in Knowledge Discover and Data Mining
August 7, 2021 by Leave a Comment
The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) announced KDD 2021, the group’s flagship conference, will take place virtually Aug. 14-18. The premier interdisciplinary data science conference, KDD 2021 will bring together researchers and practitioners from data science, machine learning, big data and artificial intelligence to fuel the innovation of tomorrow.
Global Data Science Competition Gathered Brilliant Minds to Solve Social Problems
July 23, 2021 by Leave a Comment
For over two months, 50 teams representing 34 nationalities competed for a spot in the top ten of the World Data League (WDL) – a quest to find long-lasting solutions for social-oriented problems using data.
Video Highlights: A Path Into Data Science
July 18, 2021 by Leave a Comment
Are you interested in getting ahead in data science? On this TalkPython podcast episode, you’ll meet Sanyam Bhutani who studied computer science but found his education didn’t prepare him for getting a data science-focused job. That’s where he started his own path of self-education and advancement. Now he’s working at an AI startup and ranking high on Kaggle.
How Accelerated Computing Is Transforming Data Science
June 29, 2021 by Leave a Comment
In this contributed article, Scott McClellan, head of Data Science at NVIDIA, discusses how big companies, and startups increasingly use software to speed decision-making in creating new products and services. Businesses can use AI to learn from massive amounts of data captured from a broad range of sensors and sources, but none of this knowledge can be gained without processing these volumes of data.
KDD 2021 Data Science Conference Will Convene Aug. 14 – 18, 2021
April 25, 2021 by Leave a Comment
The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) announced KDD 2021, the group’s flagship conference, will take place virtually Aug. 14-18. The premier interdisciplinary data science conference, KDD 2021 will bring together researchers and practitioners from data science, machine learning, big data and artificial intelligence to fuel the innovation of tomorrow.
ACM Issues Computing Competencies for Undergraduate Data Science Curricula
March 21, 2021 by Leave a Comment
Recognizing the explosive growth of data science as a field, as well as the demand for data science training at the undergraduate level, a Data Science Task Force convened by the Association for Computing Machinery’s Education Board recently released “Computing Competencies for Undergraduate Data Science Curricula.” The ACM report seeks to define what the computing/computational contributions are to this new field, as well as to provide guidance on computing-specific competencies in data science for departments offering such programs of study at the undergraduate level.
