The Data Daily

Articles about machine learning

Who Does the Machine Learning and Data Science Work?

Last updated: 08/07/2020

A survey of over 19,000 data professionals showed that nearly 2/3rds of respondents said they analyze data to influence product/business decisions. Only 1/4 of respondents said...

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The Intersection of HR and Artificial Intelligence

Last updated: 08/07/2020

Artificial intelligence impacts our everyday lives both at home and at work significantly. Indeed, artificial intelligence is able to give driving directions or music and movie...

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Who cares if unsupervised machine learning is supervised learning in disguise?

Last updated: 08/05/2020

Previously, we saw how unsupervised learning actually has built-in supervision, albeit hidden from the user. In this post we will see how supervised and unsupervised learning...

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How to Build a Machine Learning Model

Last updated: 08/03/2020

How to Build a Machine Learning Model A Visual Guide to Learning Data Science Jul 25 · 13 min read Learning data science may seem intimidating but it doesn’t have to be that...

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Machine learning model may perfect 3D nanoprinting

Last updated: 08/01/2020

Two-photon lithography (TPL) — a widely used 3D nanoprinting technique that uses laser light to create 3D objects — has shown promise in research applications but has yet to...

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Hacking AI: Exposing Vulnerabilities in Machine Learning

Last updated: 07/31/2020

A military drone misidentifies enemy tanks as friendlies. A self-driving car swerves into oncoming traffic. An NLP bot gives an erroneous summary of an intercepted wire. These...

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How to detect and remove outliers for a machine learning model

Last updated: 07/22/2020

To access the full code please checkout my git hub repository here. An outlier is an observation in a data set that is unusually different from all other observations. In the...

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Introduction to Matrices and Matrix Arithmetic for Machine Learning

Last updated: 07/21/2020

Matrices are used throughout the field of machine learning in the description of algorithms and processes such as the input data variable (X) when training an algorithm. In...

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The Power Of Automation: The Role Of Machine Learning In Cybersecurity

Last updated: 07/20/2020

report based on the responses of over 200 chief information security officers (CISOs) showed the tough choices they must make as they face “an arms race between the capabilities...

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Machine Learning Enabled Root Cause Analysis For Low Power Verification

Last updated: 07/19/2020

Next-generation SoCs with advanced graphics, computing and artificial intelligence capabilities are posing unforeseen challenges in verification. Designers and verification...

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