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Andrea Manero-Bastin posted a blog post

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 …See More
Thursday
Mirio De Rosa commented on Andrea Manero-Bastin's blog post Introduction to Markov Chains
"The "Brand Switch Analyst" tool of MM4XL software is one of the few applications I know that does what's described in this article."
Monday
Andrea Manero-Bastin posted blog posts
Dec 1
Christian Schitton liked Andrea Manero-Bastin's blog post Machine Learning’s Limits (Part 1): Why machine learning works in some cases and not in others.
Nov 26
Andrea Manero-Bastin posted a blog post

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 conversation.…See More
Nov 24
EDDISON HAYDEN LEWIS commented on Andrea Manero-Bastin's blog post Why Every Data Scientist Needs A Data Engineer
"Could the role of the Data Scientist synergize with the Data Engineer?  Some Data Engineers would have progressed to the expertise of the Data Scientist."
Nov 24
Andrea Manero-Bastin posted blog posts
Nov 17
Omer Sayli liked Andrea Manero-Bastin's blog post Automated Speech Processing using Filter Banks and MFCCs
Nov 16
Andrea Manero-Bastin posted blog posts
Nov 14
Andrea Manero-Bastin's 2 blog posts were featured
Nov 7
Andrea Manero-Bastin's blog post was featured

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

This article was written by Tirthajyoti Sarkar. AcknowledgementsThanks 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 in KDnuggets.IntroductionIt is somewhat surprising that among all the high-flying buzzwords of machine learning, we don’t hear much about the one…See More
Nov 2
Tauheedul Ali liked Andrea Manero-Bastin's blog post Introduction to Various Reinforcement Learning Algorithms
Oct 27
Andrea Manero-Bastin's blog post was featured

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 precision. Problem formulationThe learning problem is formulated in terms of the minimization of a loss…See More
Oct 24
jwork.ORG commented on Andrea Manero-Bastin's blog post Why Every Data Scientist Needs A Data Engineer
"I think "Data scientist" and "Data engineer" is the same notion. Data scientists do not discover laws, so not really "scientists" in the traditional sense. The tasks that are attributed to "data sciences" on…"
Oct 21
Andrea Manero-Bastin's blog post was featured

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 a Data ScientistOnce an organization has a data scientist, however, what then? How do they cultivate an environment that maximizes that person’s…See More
Oct 20
Tauheedul Ali liked Andrea Manero-Bastin's blog post Visualizing and Animating Optimization Algorithms with Matplotlib
Oct 6

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My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/andrea-manero-bastin-690610b1/
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Data Science, Machine Learning, AI, Business Analytics, Deep Learning, Blockchain, BI, IoT
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Student
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Andrea Manero-Bastin's Blog

R Package Install Troubleshooting

Posted on December 1, 2019 at 6:30am 0 Comments

This article was written by Laura Ellis.

 

One of the reasons why I love R is that I feel like I’m constantly finding out about cool new packages through an ever-growing community of users and teachers. 

To understand the current state of R packages on CRAN, I ran some code provided by Gergely Daróczi on Github .  As of today there have been almost 14,000 R packages published on CRAN and the rate of…

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Introduction to Markov Chains

Posted on November 18, 2019 at 5:00am 1 Comment

This article was written by Devin Soni.  

 

Markov chains are a fairly common, and relatively simple, way to statistically model random processes. They have been used in many different domains, ranging from text generation to financial modeling. A popular example is r/SubredditSimulator, which uses Markov chains to automate the creation of content for an entire subreddit. Overall, Markov Chains are conceptually quite intuitive,…

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New Theory Cracks Open the Black Box of Deep Learning

Posted on November 1, 2019 at 5:30am 0 Comments

This article was written by Natalie Wolchover.

 Even as machines known as “deep neural networks” have learned to converse, drive cars, beat video games and Go champions, dream, paint pictures and help make scientific discoveries, they have also confounded their human creators, who never expected so-called “deep-learning”…

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How to Detect Objects with Deep Learning on Raspberry Pi

Posted on October 31, 2019 at 1:30pm 0 Comments

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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