摘要： Since machine learning is a relatively new field, the limits of its application are constantly pushed outward. Virtual personal assistants were the stuff of dreams a few years ago, and now they’re seen in every other household. While some examples are conspicuous, here are some ways ML is changing our lives that you may not have thought of.
摘要： Automated machine learning, or AutoML, has generated plenty of excitement as a pathway to “democratizing data science,” and has also encountered its fair share of skepticism from data science’s gatekeepers. Complicating the conversation even further is that there is no standard definition of AutoML, which can make the debate incredibly difficult to follow, even for those well-versed.
摘要： My research team out of the University of Klagenfurt has been exploring the use of Convolutional Neural Networks (CNNs)–a form of Deep Learning commonly used in image recognition–as a potential solution to many of performance issues that currently create the technical problems people experience while streaming video.
摘要： The tectonic shifts to American culture and society due to the pandemic are far from over. One of the more glaring ones is that the U.S. labor market is going absolutely haywire.
摘要： There has been a long and ongoing discussion regarding which programming language is preferable : Python or R. Despite their popularity, they are very different. One may be preferable in some scenarios than the other.
摘要： Rapper Jay-Z and Twitter CEO Jack Dorsey, who co-own the Tidal music streaming platform, have signaled they may add non-fungible tokens and smart contracts to their app.
摘要： Today's data scientists need more than proficiency in AI and Python. Organizations are looking for specialists who also feel at home in the C-suite.
摘要： The predictive prowess of machine learning is widely hailed as the summit of statistical Artificial Intelligence. Vaunted for its ability to enhance everything from customer service to operations, its numerous neural networks, multiple models, and deep learning deployments are considered an enterprise surety for profiting from data.
