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The Book to Start You on Machine Learning

KDnuggets

This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.

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KDnuggets News, June 22: Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy

KDnuggets

Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy; Top Data Science Podcasts for 2022; Prepare Your Data for Effective Tableau & Power BI Dashboards; Generate Synthetic Time-series Data with Open-source Tools.

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Calculus: The hidden building block of machine learning

KDnuggets

Unless you have a basic knowledge of calculus, you cannot understand how machine learning algorithms are developed. Calculus for Machine Learning is designed for developers to get you up to speed on the calculus that you need for applied machine learning.

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Decision Tree Algorithm in Machine Learning: Types, Examples

Knowledge Hut

Machine Learning is an interdisciplinary field of study and is a sub-domain of Artificial Intelligence. It gives computers the ability to learn and infer from a huge amount of homogeneous data, without having to be programmed explicitly. Before dwelling on this article, let's know more about r squared meaning here.

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Top Posts May 23-29: The Complete Collection of Data Science Books – Part 2

KDnuggets

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

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8 Best Python Data Science Books [Beginners and Professionals]

Knowledge Hut

For those interested in studying this programming language, several best books for python data science are accessible. Top 8 Python Data Science Books for 2023 Python is one of the programming languages that is most commonly utilized in the field of data science. This book offers practical programming solutions to these problems.

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Supporting content decision makers with machine learning

Netflix Tech

In this post we explore how machine learning and statistical modeling can aid creative decision makers in tackling these questions at a global scale. There are a number of approaches to extract embeddings and our current approach is based on the TransE algorithm. box office, Nielsen ratings).