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The machine learning behind delivering relevant ads
Felix Fang | Software Engineer, Advertiser Solutions Group
The machine learning behind delivering relevant ads
Felix Fang | Software Engineer, Advertiser Solutions Group
Pinterest Engineering
in Pinterest Engineering Blog
Jul 21
·
9 min read
Latest
Support Vector Machines — multinomial example
SVM’s are great for classifying data you do see many binomial examples out there. Here is a good multinomial example in Matlab for you…
Shaun Enslin
in Towards Data Science
Jul 23
·
3 min read
Building memory-efficient meta-hybrid recommender engine: back to front (part 1)
How to build from scratch a recommender and boost its accuracy while keeping it simple
Volodymyr Holomb
Jul 23
·
4 min read
7 Points To Choose The Right Deep Learning Framework
Is it Pytorch, Keras, or Tensorflow?
Pranjal Saxena
in Towards Data Science
Jul 23
·
4 min read
Featured Writer
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Gaurav Deshmukh
PhD student in ChE at Purdue University | Undergrad in Chemical Engineering from ICT, Mumbai | Math modelling and coding | SciFi, Mystery fiction
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PhD student in ChE at Purdue University | Undergrad in Chemical Engineering from ICT, Mumbai | Math modelling and coding | SciFi, Mystery fiction
Computational Fluid Dynamics using Python: Modeling Laminar Flow
14 min read
A simulation framework to analyze airplane boarding methods
12 min read
Modelling the Three Body Problem in Classical Mechanics using Python
12 min read
The Next Step in Machine Learning’s Evolution: Graph Neural Networks
If you have multi-dimensional networked datasets, consider a Graph Neural Network
Jans Aasman
in Towards Data Science
Jul 20
·
4 min read
Outlier Detection in Regression Analysis
Use of Cook’s Distance in Scikit-Learn and Statsmodel for Regression Outlier Detection
Md Sohel Mahmood
in Towards Data Science
Jul 22
·
5 min read
Unit 7) Differential Evolution — Automated Machine Learning
Applying the Concepts of Differential Evolution in Evolving the Architecture of a Deep Convolutional Neural Network on the CIFAR-10 Dataset
Brandon Morgan
in Towards Data Science
Jul 23
·
18 min read
Extracting keywords from text: A case study with Japanese job postings
Extracting keywords from the text can be a challenging task. Let’s take a close look on this problem using a Japanese text dataset.
Sachin Kumar S
in The HumAIn Blog
Jul 20
·
8 min read
7 Unexplored Python Visualisation Packages You Must Know
Missingno, Bokeh, Altair, Geoplotlib, and much more
Pranjal Saxena
in Better Programming
Jul 23
·
5 min read
Data Distribution using Numpy with Python
Important probability distributions in statistics
Amit Chauhan
in Towards AI
Jul 23
·
6 min read
Information Extraction at Scribd
NLP models to perform information extraction on our text-heavy documents through Keyphrases and Entities.
Rafael Lacerda and Antonia Mouawad
in Towards Data Science
Jul 22
·
8 min read
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