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Andrea Manero-Bastin's Blog – October 2019 Archive (8)

How to Detect Objects with Deep Learning on Raspberry Pi

This article was written by Sarthak Jain.

 The real world poses challenges like having limited data and having tiny hardware like Mobile Phones and Raspberry Pis which can’t run complex Deep Learning models. This post demonstrates how you can do object detection using a Raspberry Pi. Like cars on a road,…

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Added by Andrea Manero-Bastin on October 31, 2019 at 1:30pm — No Comments

SQL and RDBMS Basics

This article was originally posted here.

If you meet 10 people who have been in data science for more than 5 years, chances are that all of them would know of or would…

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Added by Andrea Manero-Bastin on October 24, 2019 at 8:00am — No Comments

Semantic Image Segmentation with DeepLab in TensorFlow

This article was written by Liang-Chieh Chen and Yukun Zhu.

Semantic image segmentation, the task of assigning a semantic label, such as “road”, “sky”, “person”, “dog”, to every pixel in an image enables numerous new applications, such as the synthetic shallow depth-of-field effect shipped in the portrait mode of the Pixel 2 and Pixel 2 XL smartphones and …

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Added by Andrea Manero-Bastin on October 24, 2019 at 7:30am — No Comments

5 Algorithms to Train a Neural Network

This article was written by Alberto Quesada.

 

The procedure used to carry out the learning process in a neural network is called the optimization algorithm (or optimizer). There are many different optimization algorithms. All have different characteristics and performance in terms of memory requirements, speed and…

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Added by Andrea Manero-Bastin on October 20, 2019 at 2:00am — No Comments

Why Every Data Scientist Needs A Data Engineer

This article was written by Laurel Brunk.

Data scientists spend most of their time (up to 79%!) on the part of their job they hate most.

 The Role of…

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Added by Andrea Manero-Bastin on October 20, 2019 at 2:00am — 2 Comments

When Bayes, Ockham, and Shannon come together to define machine learning

This article was written by Tirthajyoti Sarkar.

 

Acknowledgements

Thanks to my CS7641 class at Georgia Tech in my MS Analytics program, where I discovered this concept and was inspired to write about it. Thanks to Matthew Mayo for editing and re-publishing this…

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Added by Andrea Manero-Bastin on October 15, 2019 at 12:30am — No Comments

Automated Speech Processing using Filter Banks and MFCCs

This article was written by Haytham Fayek.

Speech processing plays an important role in any speech system whether its Automatic Speech Recognition (ASR) or speaker recognition or something else. Mel-Frequency Cepstral Coefficients (MFCCs) were very popular features for a long time; but more recently, filter banks are becoming increasingly popular. In this post, I will discuss filter…

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Added by Andrea Manero-Bastin on October 6, 2019 at 7:00am — No Comments

Machine Learning’s Limits (Part 1): Why machine learning works in some cases and not in others.

This article was written by Ed Sperling.

 

Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that…

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Added by Andrea Manero-Bastin on October 6, 2019 at 6:30am — No Comments

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