How to evaluate the Machine Learning models?Part 3

How to evaluate the Machine Learning models? — Part 3 Congratulations everyone- who is reading this metric series, with this article we have came half way in the metric series. This is third part of the metric series where, we will discuss about predicting power score which act as substitute of the correlation and confusion metrics and derivedContinue reading “How to evaluate the Machine Learning models?Part 3”

Pandas on Steroids: End to End Data Science in Python with Dask

End to end parallelized data science from reading big data to data manipulation to visualisation to machine learning. Originally from KDnuggets https://ift.tt/3k4hg4h source https://365datascience.weebly.com/the-best-data-science-blog-2020/pandas-on-steroids-end-to-end-data-science-in-python-with-dask

Cognitive Automation helps where RPAs fall short

And it does so in other places too. In my opinion (#POV), Cognitive Automation is the “how” to the “what” being defined as automation or generally speaking digital transformation (aka digitization). byteLAKE’s Cognitive Automation So what is the difference between these two fellows? While browsing the Internet you might find a number of different descriptionsContinue reading “Cognitive Automation helps where RPAs fall short”

Youll never get confused about Type-I and Type-II errors again!

You’ll never get confused about Type-I and Type-II errors again ! Photo by Michelle Tresemer on Unsplash A lot of us get confused about Type-I and Type-II errors. I genuinely hope that this blog will end the confusion for once and for all. Before diving into the details, let’s define what is ground truth. As the name suggests,Continue reading “Youll never get confused about Type-I and Type-II errors again!”

Six Ethical Quandaries of Predictive Policing

When predictive machine learning models are applied to real-life scenarios, especially those that directly impact humans, such as cancer detection and other medical-related applications, the risks involved with incorrect predictions carry very high stakes. These risks are also prominent in how machine learning is applied in law enforcement, and serious ethical questions must be considered.Continue reading “Six Ethical Quandaries of Predictive Policing”

Top KDnuggets tweets Oct 28 Nov 03: 11 Branches of #MachineLearning and 63 Important Machine Learning Algorithms; Top #Python Libraries for #DataScience #DataVisualization #MachineLearning

Building Neural Networks with PyTorch in Google Colab; The Roadmap of Mathematics for Deep Learning; Top #Python Libraries for Data Science, Data Visualization, Machine Learning; 11 Branches of #MachineLearning and 63 Important Machine Learning Algorithms. Originally from KDnuggets https://ift.tt/32yGcer source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-kdnuggets-tweets-oct-28-nov-03-11-branches-of-machinelearning-and-63-important-machine-learning-algorithms-top-python-libraries-for-datascience-datavisualization-machinelearning

2 Coding-free Ways to Extract Content From Websites to Boost Web Traffic

There are 2 main coding-free solutions for extracting content from websites to build your content base: use web scraping tools and use content aggregation tools. We review top choices. Originally from KDnuggets https://ift.tt/3esoApf source https://365datascience.weebly.com/the-best-data-science-blog-2020/2-coding-free-ways-to-extract-content-from-websites-to-boost-web-traffic

Handwritten digit recognition TensorFlow.js

In this article, we’ll build a TensorFlow.js model to recognize handwritten digits with a convolutional neural network. Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/handwritten-digit-recognition-tensorflow-js-71caf52f757e?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/handwritten-digit-recognition-tensorflowjs

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