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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, …

All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient …

Within the magical gears of Lord Kelvin's incredible machine lies the secret of time. The deadly Dr. Ignacio Narbondo would murder to possess it and scientist and explorer …

Would you like to know a way to always have freshly baked bread on your kitchen table without having to spend countless hours in your kitchen kneading and baking?If the answer is …

Would you like to prepare homemade bread for the first time but you don't know how and where to begin?Can the incomparable taste, texture, and aroma of handcrafted bread from a …

Describes the effects of light from the sun on earth and how it causes temperature changes, the seasons, winds, and clouds.

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, …

"Our greatest furies spring from events which violate our sense of the ground rules of (our) existence." - Alain De Botton. The Book of Revelation broadly describes three types of …

As the size and complexity of data soars exponentially, machine learning (ML) has gained prominence in applications in geoscience and related fields. ML-powered technology …