When do you think you should retrain a model? Is it dependent on the data?

RETAIN is an interpretable predictive model for healthcare applications. Given patient records, it can make predictions while explaining how each medical code (diagnosis codes, medication codes, or procedure codes) at each visit contributes to the prediction.

MapReduce provides a programming model that abstracts the problem from disk reads and writes, transforming it into computation over sets of keys and values. So, MapReduce is a programming model designed for processing large volumes of data in parallel by dividing the work into a set of independent tasks

MapReduce is the processing layer of Hadoop. MapReduce is a programming model designed for processing large volumes of data in parallel by dividing the work into a set of independent tasks. ... Here in map reduce we get input as a list and it converts it into output which is again a list.

How do access the element in the 2nd column and 4th row of a matrix named M?

The rbind() function in R conveniently adds the names of the vectors to the rows of the matrix. You name the values in a vector, and you can do something very similar with rows and columns in a matrix. For that, you have the functions rownames() and colnames().

What is the difference between a tuple and a list in Python?

List and Tuple in Python are the class of data structure. The list is dynamic, whereas tuple has static characteristics. List are just like the arrays, declared in other ...

What is selection bias? What are its various types?

Selection bias occurs when the study population is not representative of the target ... One way to avoid this type of bias is to restrict the sample to incident cases only. ... If the site is not properly organized, many eligible patients will be excluded.

Any tips

The active argument is a list of active binding functions. ... across packages will not work well, and self and private are not necessary for accessing fields.

What is MLP Classfifier?any tips?

A multilayer perceptron (MLP) is a class of feedforward artificial neural network (ANN). ... MLP utilizes a supervised learning technique called backpropagation for training. Its multiple layers and non-linear activation distinguish MLP from a linear perceptron. It can distinguish data that is not linearly separable.

How does Facebook use Data Science for Social Media Analytics ?

With millions of users around the world, Facebook utilize a large scale quantitative research through Data Science to gain insights about the social interaction of the people. It has been using advanced techniques in Data Science to study user behavior.

Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem.. Anybody wish to share more information on the same?

A team from Microsoft Research and Carnegie Mellon University has open-sourced Project Petridish, a neural architecture search algorithm that automatically builds deep-learning models that are optimized to satisfy a variety of constraints. ... NAS algorithms are usually classified as macro-search or cell-search.

With the use of deep learning technologies in data science, it is now possible to find such microscopic deformities in the scanned images. Through image segmentation, it is possible to search for defects present in the scanned images.

Two deep learning approaches using Convolutional Neural Networks and Generative Adversarial Networks to remove noise and unwanted marks from scanned documents. ... However, many printed documents remain stuck in the past: coffee stains, wrinkles, and faded sun-spots are preventing OCR from recognizing all the text.