Are you interested in getting into the field of data science? We don’t blame you. Data science is an exciting field that’s constantly changing and developing, which gives data scientists’ work endless potential. Here are six tips for ways that you can launch your data science career.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2020
July 16, 2020 by
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.
Video Highlights: Machine Learning for Seeing and Hearing More
April 18, 2020 by
With COVID-19 keeping everyone indoors, this is the perfect opportunity to brush up your data science skills. Data science is a field that is booming and is playing a huge role in society. Instead of just reading a book, in this regular feature column, I will provide some great video learning resources. You can follow these YouTubers and gain insights and advice from their years of experience in the field. Plus you can learn how to code by following through their tutorials and pick up a new skill. So, fire up YouTube below and start learning!
Lowering the Barrier to Entry for Cloud Computing is the Key to Scientific Discovery
March 26, 2020 by
In this special guest feature, Ivan Ravlich, Co-Founder and CEO of Hypernet Labs, points out how the cloud industry needs to offer more accessible options to scientists and researchers who need to process large amounts of data. Containerizing scientific applications is a major step forward.
Models for Thinking: An Example of Why Data Sciences Increasingly Need the Humanities
September 12, 2019 by
Parsing such large-scale data sets – classifying genomic sequences, mapping forms of advertisement, observing online discussions, etc. – is a matter of organization: How do you make sense of, and classify, these clusters of information? The answer, often, is to configure them into abstract but coherent topics.
AI for Legalese
August 2, 2019 by
Have you ever signed a lengthy legal contract you didn’t fully read? Or have you every read a contract you didn’t fully understand? Contract review is a time-consuming and labor-intensive process for everyone concerned — including contract attorneys. Help is on the way. IBM researchers are exploring ways for AI to make tedious tasks like contract review easier, faster, and more accurate.
Imperial College London and Coursera Announce New Online Master’s Degrees in Machine Learning
March 26, 2019 by
Imperial College London, a globally ranked top 10 university, today announced an online MSc in Machine Learning on Coursera, a leading online learning platform. This is a new online master’s degrees in machine learning and will help students pursue the most advanced engineering roles in artificial intelligence (AI), data science, machine learning, bioinformatics, and more.
Interview: Rafael Irizarry, Professor of Biostatistics at Harvard University
November 29, 2018 by
I recently caught up with Rafael (Rafa) Irizarry, Professor of Biostatistics with the T.H. Chan School of Public Health at Harvard University to hear his unique perspective as an edX instructor regarding the rising demand for data scientists across most industries.
Parallel Storage Fuels Groundbreaking Neuroscience and Behavioral Research at Harvard
May 18, 2018 by
To alleviate bottlenecks and achieve the ideal balance of parallel performance and optimized availability, Harvard University’s Faculty of Arts and Sciences Research Computing (FASRC) deployed the DataDirect Networks (DDN®) GRIDScaler® GS7KX® parallel file system appliance with 1PB of storage. The installation has sped the collection of images detailing synaptic connectivity in the brain’s cerebral cortex.
The Future of AI and Education
May 13, 2018 by
In this contributed article, freelance human Avery Phillips discusses the practical uses of AI in the education industry as well as an assessment of AI’s role in current and future educational activities. Education professionals are taking on the task to implement AI into operations, and finding it to be quite beneficial.
