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Andrea Manero-Bastin posted blog posts
Monday
Andrea Manero-Bastin's 2 blog posts were featured
Monday
Andrea Manero-Bastin posted a blog post

How do I select SVM kernels?

This article was written by Sebastian Raschka.Given an arbitrary dataset, you typically don't know which kernel may work best. I recommend starting with the simplest hypothesis space first -- given that you don't know much about your data -- and work your way up towards the more complex hypothesis spaces. So, the linear kernel works fine if your dataset if linearly separable; however, if your dataset isn't linearly separable,…See More
Nov 8
Andrea Manero-Bastin's blog post was featured

How do I select SVM kernels?

This article was written by Sebastian Raschka.Given an arbitrary dataset, you typically don't know which kernel may work best. I recommend starting with the simplest hypothesis space first -- given that you don't know much about your data -- and work your way up towards the more complex hypothesis spaces. So, the linear kernel works fine if your dataset if linearly separable; however, if your dataset isn't linearly separable,…See More
Nov 8
Andrea Manero-Bastin's blog post was featured

Baidu Apollo Releases Massive Self-driving Dataset; Teams Up With Berkeley DeepDrive

This article was written by Synced. Baidu this Thursday announced the release of ApolloScape, billed as the world’s largest open-source dataset for autonomous driving technology.ApolloScape was released under Baidu’s autonomous driving platform Apollo, which Baidu hopes will become “the Android of the auto industry.” Apollo gives developers access to a complete set of…See More
Nov 5
Andrea Manero-Bastin posted a blog post

Baidu Apollo Releases Massive Self-driving Dataset; Teams Up With Berkeley DeepDrive

This article was written by Synced. Baidu this Thursday announced the release of ApolloScape, billed as the world’s largest open-source dataset for autonomous driving technology.ApolloScape was released under Baidu’s autonomous driving platform Apollo, which Baidu hopes will become “the Android of the auto industry.” Apollo gives developers access to a complete set of…See More
Nov 5
Prasanth liked Andrea Manero-Bastin's blog post Essential Math for Data Science
Oct 25
Andrea Manero-Bastin's 2 blog posts were featured
Oct 15
Oliver Sampson liked Andrea Manero-Bastin's blog post The Neural Network Zoo
Oct 12
Daren Scot Wilson liked Andrea Manero-Bastin's blog post Using AI to Super Compress Images
Oct 12
Andrea Manero-Bastin's 3 blog posts were featured
Oct 11
Andrea Manero-Bastin's 2 blog posts were featured
Oct 8
Andrea Manero-Bastin posted a blog post

The rise of GPU databases

This article was written by Gidon Ben-Zvi.a GPU database is a database, relational or non-relational, that uses a GPU (graphical processing unit) to perform some database operations. For example, GPU databases are typically fast, and geared towards analytics.Table of contentsFrenemies: GPUs Vs. CPUsAnalytics on Steroids: Where GPUs are Being…See More
Sep 27
Derek Christensen liked Andrea Manero-Bastin's blog post MBA guide: 8 resources to go from the spreadsheet to the command line
Sep 22
Andrea Manero-Bastin posted blog posts
Sep 17
Robert R. Tucci commented on Andrea Manero-Bastin's blog post Top 6 Essential Skills for Data Scientists
"Hmm, but in any job, you might only use a small subset of those skills, or skills not in that list. And employers might hire only based on your competency on that small subset. Why should they care if you don't know Perl if they never use it.…"
Sep 10

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

Artificial Intuition — A Breakthrough Cognitive Paradigm

Posted on November 25, 2020 at 2:00am 0 Comments

This article was written by Carlos E. Perez.

In this post I will explore further the characteristics of Artificial Intuition with the goal of describing a set of patterns that can aid us in formulating novel architectures for Deep Learning. In a previous post, I introduced the idea that there are two…

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Universities finally realize that Java is a bad introductory programming language

Posted on November 25, 2020 at 2:00am 0 Comments

This article was written by Matthew Hughes. 

CS 106A is Stanford University’s introductory programming course. The module – which is also available to view on YouTube – introduces the fundamentals of coding in an accessible way, and lays the foundations for…

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How do I select SVM kernels?

Posted on November 4, 2020 at 8:03am 0 Comments

This article was written by Sebastian Raschka.

Given an arbitrary dataset, you typically don't know which kernel may work best. I recommend starting with the simplest hypothesis space first -- given that you don't know much about your data -- and work your way up towards the more complex hypothesis spaces. So, the linear kernel works fine if your dataset…

Continue

Cross-validation and hyperparameter tuning

Posted on October 14, 2020 at 5:00am 0 Comments

Introduction

Almost every machine learning algorithm comes with a large number of settings that we, the machine learning researchers and practitioners, need to specify. These tuning knobs, the so-called hyperparameters, help us control the behavior of machine learning algorithms when optimizing for performance, finding the right balance between bias and variance. Hyperparameter tuning for performance optimization is an art in itself,…

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