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The Best Book for AI and Data Science in 2024
This book aims to empower aspiring and practising Data Science and AI professionals, as well as Python and Julia programmers, by providing a comprehensive exploration of Artificial Intelligence (AI) algorithms and their application to Data Science projects. The content covers both theoretical principles and practical implementation, offering Python and Julia code examples in a provided Docker for hands-on practice.
AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond First Edition
by Zacharias Voulgaris and Yunus Emrah Bulut
The initial chapters provide an introduction to the field, surveying Deep Learning models and exploring algorithms beyond Deep Learning, such as Optimization, Fuzzy Logic, and Artificial Creativity. Subsequent chapters delve into specific AI frameworks, including Apache’s MXNet, TensorFlow, and Keras, with accompanying code for practical exercises.
The Best Book for AI and Data Science in 2024
The book further explores optimization frameworks like Particle Swarm Optimization (PSO), Genetic Algorithms (GAs), and Simulated Annealing (SA). Advanced AI methods are introduced in later chapters, covering Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), optimization ensembles, and alternative AI frameworks like Extreme Learning Machines (ELMs), Capsule Networks (CapsNets), and Fuzzy Inference Systems (FIS).
Additional topics include Big Data concepts, specialized areas within Data Science, and valuable data resources. The book includes a comprehensive glossary and appendices covering Transfer Learning, Reinforcement Learning, Autoencoder Systems, Generative Adversarial Networks, business aspects of AI in data science projects, and instructions on using the Docker image to access the book’s data and code.
By the end of the book, readers are expected to have gained a solid understanding of the diverse field of AI, with the encouragement to explore further in this expansive and ever-evolving domain.
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What’s TensorFlow?
TensorFlow is widely used in both academia and industry for machine learning and deep learning applications. It supports multiple programming languages, including Python and C++, making it accessible to a broad audience of developers and researchers. The framework continues to evolve with regular updates and improvements, maintaining its position as one of the most popular tools in the field of machine learning.
End of “Best Books to Learn SQL in 2024 – PDF.“
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