Tuesday, January 5, 2021

Visual vs textual programming languages - Everything you need to know Computer Science

Visual vs textual programming languages - Everything you need to know
The Most Popular Databases - 2006/2020 - Statistics and Data
Texts with Example Problems and Good Explanations of ARM and x86 Assembly Language
[R] PGDrive Simulator Generates Unlimited Diverse Driving Environments
If there is a Data Scientist, Machine Learning Engineer, or Artificial Intelligence enthusiast here, from personal experience I would recommend you to browse the books suggested by Andrew Ng from Coursera. There is a list of 14 FREE books on this link and there is a short summary for each book.

Visual vs textual programming languages - Everything you need to know

Posted: 05 Jan 2021 12:35 AM PST

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Posted: 04 Jan 2021 07:02 AM PST

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Texts with Example Problems and Good Explanations of ARM and x86 Assembly Language

Posted: 04 Jan 2021 05:15 PM PST

I am very interested in learning this and would like to know of any good books that could get me started with some good practice

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[R] PGDrive Simulator Generates Unlimited Diverse Driving Environments

Posted: 04 Jan 2021 01:01 PM PST

Researchers from The Chinese University of Hong Kong, SenseTime Research and Zhejiang University have proposed PGDrive, a driving simulator designed to evaluate and improve end-to-end driving agents' generalization abilities.

"It is known that deep neural networks can overfit training data easily," explain the researchers. PGDrive, meanwhile, is able to generate an unlimited number of diverse driving maps. The simulator is introduced in the paper Improving the Generalization of End-to-End Driving through Procedural Generation.

Here is a quick read: PGDrive Simulator Generates Unlimited Diverse Driving Environments

The researchers have made the PGDrive code available on their project GitHub, and the paper Improving the Generalization of End-to-End Driving through Procedural Generation is on arXiv.

submitted by /u/Yuqing7
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If there is a Data Scientist, Machine Learning Engineer, or Artificial Intelligence enthusiast here, from personal experience I would recommend you to browse the books suggested by Andrew Ng from Coursera. There is a list of 14 FREE books on this link and there is a short summary for each book.

Posted: 04 Jan 2021 11:02 AM PST

submitted by /u/argothecat
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