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Improving Robots’ performance with Machine Learning

A small drone takes a test flight through a space filled with randomly placed cardboard cylinders acting as stand-ins for trees, people or structures....

Machine Learning a major part of Google Sheets

It’s been a while since the first version of BigML’s add-on for Google Sheets. The post announcing it described how one could add predictions...

Anti-adversarial Machine Learning security methodologies

Adversarial attacks are one of the greatest threats to the integrity of the emerging AI-centric economy. Much of the anti-adversarial research has been on the...

Google Meet background features powered by Web ML

Video conferencing is becoming ever more critical in people's work and personal lives. Improving that experience with privacy enhancements or fun visual touches can...

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...

Teaching a machine to think

Building an artificial general intelligence begins with stopping current AI models from perpetuating racism, sexism, and other pernicious bias. Artificial intelligence has become such a...

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...
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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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