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Minimizing bias in machine learning

We’ve been seeing the headlines for years: “Researchers find flaws in the algorithms used…” for nearly every use case for AI, including finance, health care, education, policing, or object...

Addressing the challenges of traditional Machine Learning models

Automated machine learning ensures end-to-end automation of the ML algorithms and models. For a while, the industry is disrupted with the machine learning models. Every...

New Method to Simulate Turbulence using Deep Learning

Deep learning, also called machine learning, reproduces data to model problem scenarios and offer solutions. However, some problems in physics are unknown or cannot...

Replicating Neurological Attributes In Deep Learning

Over the last several years, deep learning — a subset of machine learning in which artificial neural networks imitate the inner workings of the...

Machine Learning to help in Rapid Virus Identification

The ongoing global pandemic has created an urgent need for rapid tests that can diagnose the presence of the SARS-CoV-2 virus, the pathogen that...

The future of Machine Learning Compilers

The job of compilers is to translate programming languages written by humans into binary executable by computer hardware. Compilers run on large complex, heterogeneous, non-deterministic, and...

LinkedIn Open-Sources Dagli

LinkedIn has recently announced the open-sourcing Dagli, a machine learning library for Java and other JVM languages. This open-source machine learning library will ostensibly make it easier for developers...

Machine Learning Daily Life Use Cases

Machine learning uses algorithms and statistical models to perform specific tasks without human interaction Humans are living in a truly global revolution of technology. Thanks...

Python libraries for Data Science and Machine Learning

  Python serves many purposes in diverse communities. Starting from data science to business, Python is familiar for its precise and efficient syntax, relatively flat learning...

Remote-learning technology still has a long way to go

Home schooling in the coronavirus pandemic has been the time for educational technology to shine, but flaws have meant it hasn't lived up to...

Fusing Machine learning and predictive analytics

Artificial intelligence and machine learning, when combined with predictive analytics, allow companies and organizations to get the most out of their data. Like many AI...

What the Future of Machine Learning Looks Like

There is no doubt in saying that ML is a trending topic in the age of artificial intelligence, data science, and the internet of...
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Introductory Guide on XCFramework and Swift Package

In WWDC 2019, Apple announced a brand new feature for Xcode 11; the capability to create a new kind of binary frameworks with a special format...

Understanding Self Service Data Management

https://dts.podtrac.com/redirect.mp3/www.dataengineeringpodcast.com/podlove/file/704/s/webplayer/c/episode/Episode-159-Isima.mp3 Summary The core mission of data engineers is to provide the business with a way to ask and answer questions of their data. This often...

Understanding Machine Learning Data Preparation Techniques

Predictive modeling machine learning projects, such as classification and regression, always involve some form of data preparation. The specific data preparation required for a dataset...

Java and Python in Top List of Self taught Languages

Here's a report for the times: Specops Software sifted data from Ahrefs.com using its Google and YouTube search analytics tool to surface a list of the programming languages people most...
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