The latest updates on data science trends, innovation, machine learning, AI and big data.
Strong collaboration between data scientists and subject-matter experts (SMEs) on data is essential for building an infrastructure of capturing data for rapid, accurate decisions. It’s important to understand the role of a data scientist in order to build your data science “dream team.”
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We started this decade delighted about sharing data and insights. We're ending it realizing that, without strong governance, self-service can be a nightmare.
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The latest microcontroller architecture definition from Arm—ARMv8.1-M—stirs machine-learning hardware acceleration into the mix.
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AI, machine learning and data science are some of the hottest topics in technology and innovation today. With good reason, the…
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Introduction Data Science is an ever-growing field, there are numerous tools & techniques to remember. It is not possible for anyone to remember all the functions, operations and formulas of each concept. That's why we have cheat sheets. But there are a plethora of cheat sheets available out there, choosing the right cheat sheet is
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Adobe XD, the company’s platform for designing and prototyping user interfaces and experiences, is adding support for a different kind of application to its lineup: voice apps. Those could be applications that are purely voice-based — maybe for Alexa or Google Home — or mobile app…
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This is the second article in a series about creating business value with data science! Throughout the series, we’ll be going through the…
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In this guide, 7 CTOs and AI experts provide their view on what is artificial intelligence; and how they define it in the context of business
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Get people asking the right questions.
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Emotional intelligence is a red-hot skill to build, and this one form is like rocket fuel for your leadership prowess.
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According to Cybersecurity Ventures, there are now 111 billion new lines of code written each year, introducing vulnerabilities both known and unknown.
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The Internet of Things is not going away -- and neither are the attacks that exploit device vulnerabilities. Here are five incidents that illustrate what users and device developers need to do to prevent breaches.
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Machine learning opens up new avenues for Internet of Things, NLP, and self-teaching AI. Machine learning jobs are in hot demand, the human adaptability to machine learning has led to a heavy reliance on robotic process automation. Machine learning algorithms assist IT operations teams to find the root cause of issues.
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This article takes a look at the difference between Machine Learning and deep Learning as well as gives an overview of what each topic means.
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A Silicon Valley company has developed an AI-based predictor which, according to a new study, can outperform Las Vegas betting markets when it comes to accurately forecasting outcomes in sports fixtures
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(This article was originally published on my blog here ). JavaScript is a powe...
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Everything you need to know about digital transformation for your enterprise -- beyond the buzzword.
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An A.I. learned to compose traditional folk tunes that sound anything but digital.
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Using data science in the banking industry is more than a trend, it has become a necessity to keep up with the competition. Banks have to…
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New biomedical techniques, like next-generation genome sequencing, are creating vast amounts of data and transforming the scientific landscape.
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