This article was written by Anejati. For the past few days I’ve been working on how to implement recursive neural networks in TensorFlow. Recursive neural networks (which… Read More »Recursive (not recurrent!) Neural Nets in TensorFlow
This article is from Win-Vector LLC In this article we will discuss the machine learning method called “decision trees”, moving quickly over the usual “how… Read More »Why do Decision Trees Work?
Summary: Dealing with imbalanced datasets is an everyday problem. SMOTE, Synthetic Minority Oversampling TEchnique and its variants are techniques for solving this problem through oversampling… Read More »Dealing With Imbalanced Datasets
Guest blog by Pablo Cordero. Pablo is currently a postdoc at UCSC’s systems biology group, doing applied machine learning research in the context of cell biology… Read More »When Not to Use Deep Learning
In this two-part series, we will explore text clustering and how to get insights from unstructured data. It will be quite powerful and industrial strength.… Read More »Text Clustering : Get quick insights from Unstructured Data
In this two-part series, we will explore text clustering and how to get insights from unstructured data. It will be quite powerful and industrial strength.… Read More »Text Clustering : Get quick insights from Unstructured Data
Is everyone a ‘data scientist’? What about ‘data engineers’ and the junior versus senior, or skill level distinctions? We do seem to need some agreement… Read More »Understanding the Changing Position Roles in Data Science
This article was written by Radhouane Aniba. How to pick a Data Science book : Choosing a data science book is one of the important… Read More »How to choose a great Data Science book
So here are my three principle experiences you won’t effectively discover in books. 1. Evaluation Is Key The main goal in data analysis/machine learning/data science,is… Read More »Three Things About Data Science You Won't Find In the Books
The following problems appeared in the exercises in the Coursera course Image Processing (by Northwestern University). The following descriptions of the problems are taken directly from the… Read More »Some Image and Video Processing: Motion Estimation with Block-Matching in Videos, Noisy and Motion-blurred Image Restoration with Inverse Filter in Python and OpenCV
