$Essential Math for Data Science (Bestseller)$

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Essential Math for Data Science (Bestseller)Shroff Publishers do not endorse the preview pages of kindle linked to our ISBNs. All Indian Reprints of O'Reilly are Printed in Grayscale. Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way

and also learn how to perform performance optimization as well as effective debugging

Progressive Web Apps (PWAs) aim to solve this bridging the gap between the web apps and native apps

Learn the basics of SciPy and NymPy quickly

In Project to Product

Security is usually an afterthought when organizations design microservices for cloud systems

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in a fun and interactive way that inspires readers to create memorable and saleable pitches in order to get their projects made

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where he led the creation of the company's first software download store

Java EE is an Enterprise Java standard