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What is the P-Value? Hypothesis Testing and its Ties to Machine Learning

ODSC - Open Data Science

Hypothesis Testing and Machine Learning Now here’s the kicker: when you do machine learning (including that simple linear regression above), you are in fact searching for hypotheses that identify relationships in the data. Some data points only have a 0.0005976% chance to have arranged themselves randomly around a line.

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Discover The Best Data Science Books for Beginners

Pickl AI

Summary: Discover the best Data Science books for beginners that simplify Python, statistics, and Machine Learning concepts. For beginners, choosing the right Data Science books is a crucial first step in building a solid foundation. These books simplify complex concepts, making the learning process accessible and engaging.

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Mastering Mathematics For Data Science

Pickl AI

Within the realm of Data Science, the following points highlight the integral connection between mathematics and its applications: The Backbone of Data Science Mathematics forms the fundamental basis of Data Science, enabling the development of robust algorithms and models to extract insights from data.

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Benford’s Law Meets Machine Learning for Detecting Fake Twitter Followers

Towards AI

Traditional methods for detecting fake accounts often rely on complex machine-learning algorithms. In this blog, I delve into the fascinating intersection of Benford’s Law and machine learning, exploring how this mathematical principle can be employed alongside advanced algorithms to expose and combat the presence of fake Twitter followers.

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The innovators behind intelligent machines: A look at ML engineers

Dataconomy

They design, develop, and deploy the machine learning algorithms that power everything from self-driving cars to personalized recommendations. They also develop algorithms that are utilized to sort through relevant data, and scale predictive models to best suit the amount of data pertinent to the business. They build the future.

ML 110
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Your Roadmap to Learn AI from Scratch 2024

Pickl AI

Neural Networks: Inspired by the human brain’s structure, neural networks are algorithms that allow machines to recognise patterns and make decisions based on input data. Finance: AI algorithms are used for fraud detection, risk assessment, and portfolio management, enhancing the efficiency and security of financial transactions.

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How To Learn Python For Data Science?

Pickl AI

Mathematics is critical in Data Analysis and algorithm development, allowing you to derive meaningful insights from data. Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). These concepts help you analyse and interpret data effectively.