Articles by Nagdev

Predictive Maintenance: Zero to Deployment in Manufacturing

April 7, 2020 | 0 Comments

Predictive maintenance has been seen as a holy grail for cost cutting manufacturing. There are various steps involved in just feasibility study such as problem identification, sensor installation, signal processing, feature extraction and analysis, and finally modeling. Once a reliable and robust model is developed, the model has to be ...
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AutoML Frameworks in R & Python

April 1, 2020 | 0 Comments

In last few years, AutoML or automated machine learning as become widely popular among data science community. Big tech giants like Google, Amazon and Microsoft have started offering AutoML tools. There is still a split among data scientists when it… Read More AutoML Frameworks in R & Python
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Top Data Science Blogs

April 1, 2020 | 0 Comments

As a data scientist, I always seek to learn about out new tools and techniques. Although research papers are a great resource to learn, they are mostly either theoretical or lack in hands on explanation. Blogs are a great way… Read More Top Data Science Blogs [Read more...]

Simulating your Model Training for Robust ML Models

March 27, 2020 | 0 Comments

In this post, I will explain you why one should run simulations on their model training process so the models don’t fail in production. Traditionally we are always used to training models at certain split ratio’s of say, 70:30 or 80:20. The fundamental issue with this is that we don’...
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COVID-19 Data and Prediction for Michigan

March 26, 2020 | 0 Comments

Every country is facing a global pandemic caused by COVID19 and it’s quite scary for everyone. Unlike any other pandemic we faced before, COVID19 is providing plenty of quality data in near real time. Making this available for general public has helped citizen data scientists to share their reports, ...
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Auto Encoders for Anomaly Detection in Predictive Maintenance

March 5, 2020 | 0 Comments

Autoencoders is an unsupervised version of neural network that is used for data encoding. This technique is mainly used to learn the representation of data that can be used for dimensionality reduction by training network to ignore noise. Autoencoders play an important role in unsupervised learning and deep architectures mainly ...
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Convolutional Neural Network under the Hood

February 27, 2020 | 0 Comments

Neural networks have really taken over for solving image recognition and high sample rate data problems in the last couple of years. In all honesty, I promise I won’t be teaching you what neural networks are or CNN’s are. There are hundred’s of resources that are published ...
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Data Science in Manufacturing: An Overview

February 27, 2020 | 0 Comments

Original article published in opendatascience.com In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cyber security, mechanical, aerospace, and other industrial applications. Among these, manufacturing ...
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EnsembleML: An R package for Parallel Ensemble Modeling in R

November 2, 2019 | 0 Comments

Ensemble in machine learning is being used for a while. Ensemble is a concept of training multiple machine learning models and using them for predicting using either voting or feeding the prediction result to a different machine learning model. You could also build ensemble of ensembles. So, this is pretty ...
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minio.s3: A MinIO connector package for R

October 27, 2019 | 0 Comments

MinIO is a high performance, distributed object storage system. It is software-defined, runs on industry standard hardware and is 100% open source under the Apache V2 license[1]. Today, MinIO is deployed globally with over 272.5M+ docker pulls and 18K+ git commits. MinIO is written in “go” language. So, expect it to ...
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How to test the integrity of your clusters?

October 10, 2019 | 0 Comments

Machine learning (ML) and AI has become the new buzz word in town. With that being said, there is a lot of demand for data scientists and machine learning engineers across various industries including IT, telecom, automotive, manufacturing and many more. Today, there are hundreds to thousands of machine learning ...
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Loops! Loops! Loops in R. A Microbenchmark

May 3, 2019 | 0 Comments

Loops are the holy grail in data science. You might use it when you want to repeat your task or a function or build a model say “n” times or iterations. There are quite few types of loops and most common ones are for and while. The main difference between ...
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Top 8 Docker Images for Data Science

March 1, 2019 | 0 Comments

Dockerizing Data Science: Introduction PreReqs: Docker, images, and containers Dockerizing data science packages have become more relevant these days mainly because you can isolate your data science projects without breaking anything. Dockerizing data science projects also make most of your projects portable and sharable and not worrying about installing right ... [Read more...]

Statistical Process Control (SPC) in R

February 26, 2019 | 0 Comments

  Statistical Process Control (SPC) is a quality control technique that uses statistical techniques to monitor and control the process and product quality. Although this is an age old technique, this is widely used in various applications such as manufacturing, health care, banking and other service related industries. In this blog ... [Read more...]

Using Cassandra Through R

December 11, 2018 | 0 Comments

In the last couple of years, there has been a lot of buzz around open source community. Almost every day, there are a lot of tools being open sourced. With a ton of open source tools in the market, don’t expect to have drivers built for every platform. I ... [Read more...]

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