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Latest Activity

Michael Y. Choi liked Andrea Manero-Bastin's blog post Deep Learning for Object Detection: A Comprehensive Review
Wednesday
Andrea Manero-Bastin posted blog posts
Jun 21
Thenuja Shanthacumaran liked Andrea Manero-Bastin's blog post The Math of Decision Trees, Random Forest and Feature Importance in Scikit-learn and Spark
Jun 16
Andrea Manero-Bastin posted a blog post

Tutorial: Counting Road Traffic Capacity with OpenCV

This article was written by Andrey Nikishaev.Today I will show you very simple but powerful example of how to count traffic capacity with the algorithm that you can run on devices.So this algorithm works in 4 steps:1. Get frame edges.2. Blur them to get the more filled area.3. Binary threshold blurred the image.4. Overlap threshold image with ROI(you mask where…See More
Jun 14
Andrea Manero-Bastin posted blog posts
May 31
Andrea Manero-Bastin posted a blog post

How to remove duplicates in large datasets

This article was written by Suresh Kondamudi.Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging to perform even basic tasks like counting distinct elements, membership check, filtering duplicate elements, finding minimum, maximum, top-n elements, or set operations like union, intersection, similarity and so on.…See More
May 14
Faiz Ikramulla commented on Andrea Manero-Bastin's blog post The most underutilized function in SQL
"nice article, super helpful!"
May 3
Shankar S liked Andrea Manero-Bastin's blog post The most underutilized function in SQL
Apr 26
Andrea Manero-Bastin posted a blog post

The most underutilized function in SQL

This article was written by Tristan Handy.Over the past nine months I’ve worked with over a dozen venture-funded startups to build out their internal analytics. In doing so, there’s a single SQL function that I have come to use surprisingly often. At first it wasn’t at all clear to me why I would want to use this function, but as time goes on I have found ever more uses for it.What is it? md5().Give md5() a…See More
Apr 26
Andrea Manero-Bastin posted a blog post

Limits of linear models for forecasting

This article was written by Blaine Bateman.In this post, I will demonstrate the use of nonlinear models for time series analysis, and contrast to linear models. I will use a (simulated) noisy and nonlinear time series of sales data, use multiple linear regression and…See More
Apr 19
Andrea Manero-Bastin posted a blog post

Multicollinearity in Regression Analysis: Problems, Detection, and Solutions

This article was written by Jim Frost.Multicollinearity occurs when independent variables in a regression model are correlated. This correlation is a problem because independent variables should be independent. If the degree of correlation between variables is high enough, it can cause problems when you fit the model and interpret the results. In this blog post, I’ll highlight the problems that…See More
Apr 16
Pablo Gutierrez commented on Andrea Manero-Bastin's blog post The 17 equations that changed the course of history
"Very nice post! I belive that the Shanon equation for information theory is related to the definition of Entropy and its nature, so equations 6 and 9 would be connected."
Apr 16
Andrea Manero-Bastin posted blog posts
Apr 12
Michel Boussemart commented on Andrea Manero-Bastin's blog post Introduction to Numpy - A Math Library for Python
"Hi I think in green it's [44,45],[54,55] Best regards"
Mar 21
Andrea Manero-Bastin posted a blog post

Five Regression Analysis Tips to Avoid Common Problems

This article was written by Jim Frost.Regression is a very powerful statistical analysis. It allows you to isolate and understand the effects of individual variables, model curvature and interactions, and make predictions. Regression analysis offers high flexibility but presents a variety of potential pitfalls. Great power requires great responsibility!In this post, I offer five tips that will not only…See More
Mar 19
Andrea Manero-Bastin posted a blog post

Finding organic clusters in complex data-networks

This article was written by Graph Commons.A common task for a data scientist is to identify clusters in a given data set. The idea is to simply find groups of objects that have more connections or similarities to one another than they do to outsiders. In the study of networks, we use clustering to recognize communities within large groups of…See More
Mar 15

Profile Information

Job Title:
Student
Seniority:
Student
Job Function:
Data Science, Machine Learning, AI, Business Analytics, Deep Learning, Blockchain, BI, IoT
LinkedIn Profile:
http://www.linkedin.com/in/andrea-manero-bastin-690610b1/
Interests:
Contributing

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Andrea Manero-Bastin's Blog

Deep Learning for Object Detection: A Comprehensive Review

Posted on June 15, 2020 at 12:00am 0 Comments

This article was written by Joyce Xu.

With the rise of autonomous vehicles, smart video surveillance, facial detection and various people counting applications, fast and accurate object detection systems are rising in demand. These systems involve not only recognizing and classifying every object in an…

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Logistic Regression with Math

Posted on June 14, 2020 at 11:30pm 0 Comments

This article was written by Madhu Sanjeevi (Mady).

In the previous story we talked about Linear Regression for solving regression problems in machine learning, This story we will talk about Logistic Regression for classification problems.

You may be wondering why the name says regression…

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Tutorial: Counting Road Traffic Capacity with OpenCV

Posted on June 9, 2020 at 11:30am 0 Comments

This article was written by Andrey Nikishaev.

Today I will show you very simple but powerful example of how to count traffic capacity with the algorithm that you can run on devices.

So this algorithm works in 4 steps:

1. Get frame edges.

2. Blur…

Continue

How to remove duplicates in large datasets

Posted on May 5, 2020 at 11:00am 0 Comments

This article was written by Suresh Kondamudi.

Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging to perform even basic tasks like counting distinct elements, membership check, filtering duplicate elements, finding minimum, maximum, top-n elements, or set operations like union,…

Continue
 
 
 

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