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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

That being said, here, we explore 14 of the best data science books in the world today, highlighting the very features, topics, and insights that make each of these institutional data-centric bibles crucial for the success of your career and business. Exclusive Bonus Content: The top books on data science summarized!

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Use of Machine Learning to Make Money on Android Monetization

Smart Data Collective

Different apps allow us to chat with friends, order food delivery, book a taxi, and find the best way to the office. Machine learning has helped with all of these solutions in apps , but it can be even more valuable when it comes to monetizing them better. Machine learning and data mining tools can be very useful in this regard.

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What is NLP? Natural language processing explained

CIO Business Intelligence

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. An NLP algorithm uses this data to find patterns and extrapolate what comes next. Amazon Comprehend.

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R vs Python: What’s the Best Language for Natural Language Processing?

Sisense

NLP can be used on written text or speech data. For our example, we will use written text for our comparison of R vs Python for data science. We are surrounded by written text every day: emails, SMS messages, webpages, books, and much more. R vs Python for data science: Digging into the differences.

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Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

but that is just the tip of a vast iceberg — just take a look at the 750-page book “ Encyclopedia of Distances “ What evaluation metric should we use to determine if the clusters are “good enough” or optimal ( i.e., the most compact set of clusters relative to the separation of the clusters)?