Category Archives: Data Science News

Machine Learning Model Deployment

Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model deployment. Originally from KDnuggets https://ift.tt/3n4CX6T source https://365datascience.weebly.com/the-best-data-science-blog-2020/machine-learning-model-deployment

KDnuggets News 20:n37 Sep 30: Introduction to Time Series Analysis in Python; How To Improve Machine Learning Model Accuracy

Learn how to work with time series in Python; Tips for improving Machine Learning model accuracy from 80% to over 90%; Geographical Plots with Python; Best methods for making Python programs blazingly fast; Read a complete guide to PyTorch; KDD Best Paper Awards and more. Originally from KDnuggets https://ift.tt/3nc7LD1 source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-20n37-sep-30-introduction-to-time-series-analysis-in-python-how-to-improve-machine-learning-model-accuracy

Are Data Analytics and Data Science Two Separate Fields?

How are the fields of Data Analytics and Data Science related? Read this post by John Thompson, author of the new Packt book “Building Analytics Teams” to gain an understanding of the link between the two. Originally from KDnuggets https://ift.tt/2EOJXDO source https://365datascience.weebly.com/the-best-data-science-blog-2020/are-data-analytics-and-data-science-two-separate-fields

Missing Value Imputation A Review

Detecting and handling missing values in the correct way is important, as they can impact the results of the analysis, and there are algorithms that can’t handle them. So what is the correct way? Originally from KDnuggets https://ift.tt/2EIANZk source https://365datascience.weebly.com/the-best-data-science-blog-2020/missing-value-imputation-a-review

Why Data Annotation is Important for Machine Learning?

We have the smart things in hand; do you know what the next breakthrough is for the future that is piling up? Let’s discuss the fundamentals of Data Annotation before I address the question and direct you later through the process involved. Data annotation is the method of marking machine-recognizable content through computer vision orContinue reading “Why Data Annotation is Important for Machine Learning?”

Equipment Failure prediction Using ML: for Stripper Wells

Here in this blog, how you can leverage an application of Data science & Machine learning in Oil Industry Introduction Business Problem ML formulation Business Constraint Dataset Performance Metric EDA ML modeling Custom Ensemble Classifier (Stacking) Future work Conclusion References 1. Introduction:- what is Stripper Well ? Stripper well is mechanical equipment , which is used for oilContinue reading “Equipment Failure prediction Using ML: for Stripper Wells”

International alternatives to Kaggle for Data Science / Machine Learning competitions

While Kaggle might be the most well-known, go-to data science competition platform to test your skills at model building and performance, additional regional platforms are available around the world that offer even more opportunities to learn… and win. Originally from KDnuggets https://ift.tt/33dbW9p source https://365datascience.weebly.com/the-best-data-science-blog-2020/international-alternatives-to-kaggle-for-data-science-machine-learning-competitions

How AI is Driving Innovation in Astronomy

In this blog, we look at a disruptive AI program – Morpheus – developed by Researchers at UC Santa Cruz that can analyze astronomical image data and classify galaxies and stars with surgical precision. If you’re reading this with “starry” eyes, we bet we’ve got you hooked. Originally from KDnuggets https://ift.tt/348g8qb source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-ai-is-driving-innovation-in-astronomy

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