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A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment

KDnuggets

How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.

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Alternative Feature Selection Methods in Machine Learning

KDnuggets

In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score. Feature selection methodologies go beyond filter, wrapper and embedded methods.

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7 Types of Classification Algorithms in Machine Learning

ProjectPro

This blog will help you master the fundamentals of classification machine learning algorithms with their pros and cons. You will also explore some exciting machine learning project ideas that implement different types of classification algorithms. So, without much ado, let's dive in.

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Sentiment Analysis with KNIME

KDnuggets

Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.

Algorithm 160
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In AI we Trust? Why we Need to Talk about Ethics and Governance (part 1 of 2)

Cloudera

Advances in the performance and capability of Artificial Intelligence (AI) algorithms has led to a significant increase in adoption in recent years. In a February 2021 report by IDC, they estimate that world-wide revenues from AI will grow by 16.4% in 2021 to USD $327 billion. We consider three examples below: Robo-Firing.

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Machine Learning Career Track, Learning Path & Roadmap

ProjectPro

“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. We have put together the ideal artificial intelligence and machine learning path for you.

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10 Machine Learning Projects in Retail You Must Practice

ProjectPro

Retail is one of the first industries that started leveraging the power of machine learning and artificial intelligence. There are machine learning projects for almost every retail use case - right from inventory management to customer satisfaction. The algorithm assigns each data point to the closest centroid.