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5 Free University Courses to Learn Machine Learning

KDnuggets

Want to learn machine learning from the best of resources? Check out these free machine learning courses from the top universities of the world.

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Practicing Machine Learning with Imbalanced Dataset

Analytics Vidhya

Introduction In today’s world, machine learning and artificial intelligence are widely used in almost every sector to improve performance and results. The machine learning algorithms heavily rely on data that we feed to them. But are they still useful without the data? The answer is No.

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A Roadmap to Machine Learning Algorithm Selection

KDnuggets

The goal of this article is to help demystify the process of selecting the proper machine learning algorithm, concentrating on "traditional" algorithms and offering some guidelines for choosing the best one for your application.

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How to Choose a Machine Learning Consulting Firm in 2023?

Analytics Vidhya

Introduction Artificial intelligence (AI) and machine learning (ML) are in the best swing to help businesses sharpen their edge over their competitors in the market. The value of the machine learning industry is estimated to be US $209.91

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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5 Free Courses to Master Machine Learning

KDnuggets

Are you excited to learn about and build machine learning models? Start learning today with these free machine learning courses.

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How to get datasets for Machine Learning?

Knowledge Hut

Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Quality data is therefore important to ensure the efficacy of a machine learning model.