Publisher: Simone Malacrida
The theoretical assumptions of the following mathematical topics are presented in this book: logarithmic functions exponential functions hyperbolic functions Each topic is treated by emphasizing practical applications and solving some significant exercises.
Are you prepared for a revolutionary journey into machine learning and data science? The book "A Guide to Data Science and Machine Learning: From Data to Insights—Exploring the Intersection of Data Science and Machine Learning" will assist you to understand the nuances of rapidly developing scientific disciplines. This book gives you a thorough guide to comprehending the constantly changing world of innovation and technology, regardless of your experience level. Whether you're a beginner looking for basic knowledge or an advanced practitioner looking to expand your knowledge. Enter the core of data science and learn about the fundamental ideas behind collecting, cleaning, and preprocessing data. You will understand the importance of preparing data for analysis through interesting explanations and practical examples, which will pave the way for perceptive investigation. Discover the power of exploratory data analysis (EDA), which helps you make decisions by revealing patterns, anomalies, and hidden insights in datasets. Develop your knowledge as you explore the complex realm of feature engineering and selection. Discover how to turn raw data into insightful features that may be used to improve performance and make more accurate predictions. Learn how to effectively express complicated ideas through visual representations and use data to inform decision-making by delving into the art of data visualization. An unlimited source of knowledge and creativity is ahead, and "A Guide to Data Science and Machine Learning: From Data to Insights—Exploring the Intersection of Data Science and Machine Learning" is your road map. This book invites you to embrace the transformational power of data science and machine learning, whether you're a seasoned practitioner, a curious learner, or a budding enthusiast. Together, we'll embark on a journey that embraces curiosity, interest, and the limitless potential of human intellect.Show book
This podcast explores the use of deep learning to predict Bitcoin price direction. Several deep learning models, including CNN-LSTM, LSTNet, and TCN, are compared to an ARIMA model as a benchmark. Feature selection methods are employed to optimize model performance. The results show that the combination of Boruta feature selection with the CNN-LSTM model outperforms others, achieving an accuracy of 82.44% and generating extraordinary annual returns in simulated investment strategies. The study highlights the potential of predictive models in Bitcoin trading, while acknowledging limitations and suggesting areas for future research.Show book
Light is a form of electromagnetic radiation that is visible to the human eye. It is essential for the process of vision and plays a crucial role in our understanding of the universe. The study of light, known as optics, explores how light behaves, interacts with matter, and is perceived by the human eye. Color, on the other hand, is the result of how light interacts with objects and is perceived by the brain. The interaction between light and matter can produce a wide range of effects, such as reflection, refraction, and dispersion, which give rise to the rich variety of colors we see in the world around us. The nature of light can be understood through both particle and wave theories. In the early 20th century, scientists realized that light behaves not only as a wave but also as a particle. This wave-particle duality is one of the key concepts of quantum mechanics, where light exhibits both wave-like properties, such as interference and diffraction, and particle-like properties, such as when it is absorbed or emitted in discrete packets called photons. These photons carry energy and momentum, and their interactions with matter give rise to various phenomena that are central to the physics of light.Show book
Electrical engineering is a broad and influential field that focuses on the study and application of electricity, electronics, and electromagnetism. It encompasses various sub-disciplines, each with its unique focus and applications. Here’s an overview of the main areas within electrical engineering: Power engineering involves the generation, transmission, distribution, and utilization of electric power. This area covers power generation through methods such as fossil fuels, nuclear, hydroelectric, and renewable sources like solar and wind. It also includes high-voltage power transmission from plants to substations and distribution to consumers, along with the design and maintenance of power grids, load forecasting, and reliability. Electronics focuses on the behavior and movement of electrons in various devices and systems. Analog electronics deals with circuits that process analog signals, involving components like resistors, capacitors, and transistors. Digital electronics handles digital signals, including logic gates, microprocessors, and digital signal processors (DSPs). Consumer electronics involve devices such as smartphones, televisions, and computers. Electrical engineering is a diverse and dynamic field that involves the study, design, and application of equipment, devices, and systems that use electricity, electronics, and electromagnetism. It encompasses a wide range of sub-disciplines, including power engineering, electronics, control systems, signal processing, and telecommunications.Show book
The Covid-19 pandemic has brought forth global anxiety about linkages between the environment and society at a fundamental structural level. Earthly Order: How Natural Laws Define Human Life provides an accessible exposition of the latest foundational knowledge on how natural and social systems science can inform planetary crises. Humanity has either tried to conquer or capitulate to natural order, whereas we should be seeking to understand latent structures and patterns that permeate all systems and develop an "earthly order," that is socially functional and sustainable. Current debates in politics often present what should constitute a "world order" while scientists have wrestled with what are fundamental conditions of "natural order." Author Saleem H. Ali provides a synthesis of these debates with practical guidance for the public with a host of current examples around environmental decision-making by consumers, the government, and industry.Show book
In "Edge AI: Transforming Data Processing and Decision-Making at the Edge," dive into the revolutionary world of Edge AI, a technology that is reshaping how we handle data and make decisions. This book provides a comprehensive examination of how Edge AI brings computation and intelligence closer to the data source, enabling faster and more efficient decision-making. "Edge AI: Transforming Data Processing and Decision-Making at the Edge" is a must-read for technology professionals, researchers, and enthusiasts eager to understand and leverage the power of Edge AI. Whether you are looking to implement Edge AI solutions or stay abreast of the latest technological advancements, this book provides the essential knowledge and insights to navigate the evolving landscape of Edge AI.Show book
