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Artificial Intelligence In Operations: Strategy, Efficiency, And The Future Of Execution

by Ahmed Banafa

~~95,97€~~ 86,37€ 10% OFF

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 This book explores how AI is transforming operations across industries, from supply chains to public institutions. Focusing on real-world impact, it examines predictive planning, humanâ€"machine collaboration, and governance challenges, helping leaders adopt AI responsibly and strategically.
ENGLISH

Considerations On Novel Network Edge Physical Node Architectures - Leveraging Unprecedented (Bottom-Up) Technology-Centric Approaches Empowered By Micro/Nanotechnologies (Mems/Nems) And Federated Learning, With An Out

~~119,24€~~ 107,32€ 10% OFF

 Considerations on Novel Network Edge Physical Node Architectures explores the path to 6G and future networks. Covering ultra-low latency, XR, holograms, and spaceâ€"terrestrial links, it highlights how MEMS/NEMS, AI, and federated learning can reshape edge intelligence for the hyperconnected era.
ENGLISH

Considerations On Novel Network Edge Physical Node Architectures - Leveraging Unprecedented (Bottom-Up) Technology-Centric Approaches Empowered By Micro/Nanotechnologies (Mems/Nems) And Federated Learning, With An Out

~~121,66€~~ 109,49€ 10% OFF

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 Considerations on Novel Network Edge Physical Node Architectures explores the path to 6G and future networks. Covering ultra-low latency, XR, holograms, and spaceâ€"terrestrial links, it highlights how MEMS/NEMS, AI, and federated learning can reshape edge intelligence for the hyperconnected era.
ENGLISH

Ai In Education Systems: Successful Cases And Perspectives

~~85,16€~~ 76,64€ 10% OFF

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 AI in Education Systems examines global experiences with AI in teaching and learning. Covering large language models, bilingual education, risks of uncontrolled use, and future applications, it blends international case studies and research to highlight how AI can enhance education while addressing ethical and social challenges.
ENGLISH

Introduction To Natural Language Processing - Exploring Techniques, Applications, And Challenges

by Jossy P George, Preethi Nanjundan e Xiaochun Cheng

~~86,11€~~ 77,50€ 10% OFF

 This book provides a thorough and comprehensive introduction to natural language processing (NLP), a critical field at the intersection of artificial intelligence and computational linguistics. It explores key techniques such as sentiment analysis, which enables the detection of emotional tone in text, machine translation, facilitating the conversion of text between languages, and named entity recognition (NER), which identifies and classifies entities like names, dates, and locations within text data.The book delves into deep learning advancements, particularly the use of neural networks such as transformers and recurrent models, which have revolutionized NLP applications. Readers will gain insights into how these models drive innovations in areas such as text classification, language generation, and speech recognition.In addition to technical concepts, the book also addresses the ethical considerations surrounding NLP, emphasizing the responsible use of AI technologies to mitigate issues like bias, misinformation, and privacy concerns. Practical case studies and real-world examples are included to illustrate how NLP is applied in various sectors, including healthcare, finance, and customer service.This book is an invaluable resource for students, researchers, and industry professionals seeking to understand the foundational concepts, cutting-edge advancements, and broader implications of NLP, equipping them with the knowledge to innovate and apply these technologies effectively in their respective fields.
ENGLISH

Practical Guide To Machine Learning, Nlp, And Generative Ai: Libraries, Algorithms, And Applications

by Kumar Reddy Cheepati, Marco Rivera e T. Mariprasath

~~75,51€~~ 67,96€ 10% OFF

 This is an essential resource for beginners and experienced practitioners in machine learning. This comprehensive guide covers a broad spectrum of machine learning topics, starting with an in-depth exploration of popular machine learning libraries. Readers will gain a thorough understanding of Scikit-learn, TensorFlow, PyTorch, Keras, and other pivotal libraries like XGBoost, LightGBM, and CatBoost, which are integral for efficient model development and deployment.The book delves into various neural network architectures, providing readers with a solid foundation in understanding and applying these models. Beginning with the basics of the Perceptron and its application in digit classification, it progresses to more complex structures such as multilayer perceptrons for financial forecasting, radial basis function networks for air quality prediction, and convolutional neural networks (CNNs) for image classification. Additionally, the book covers recurrent neural networks (RNNs) and their variants like long short-term memory (LSTM) and gated recurrent units (GRUs), which are crucial for time-series analysis and sequential data applications.Supervised machine learning algorithms are meticulously explained, with practical examples to illustrate their application. The book covers logistic regression and its use in predicting sports outcomes, decision trees for plant classification, random forests for traffic prediction, and support vector machines for house price prediction. Gradient boosting machines and their applications in genomics, AdaBoost for bioinformatics data classification, and extreme gradient boosting (XGBoost) for churn prediction are also discussed, providing readers with a robust toolkit for various predictive tasks.Unsupervised learning algorithms are another significant focus of the book, introducing readers to techniques for uncovering hidden patterns in data. Hierarchical clustering for gene expression data analysis, principal component analysis (PCA) for climate predictions, and singular value decomposition (SVD) for signal denoising are thoroughly explained. The book also explores applications like robot navigation and network security, demonstrating the versatility of these techniques.Natural language processing (NLP) is comprehensively covered, highlighting its fundamental concepts and various applications. The book discusses the overview of NLP, its fundamental concepts, and its diverse applications such as chatbots, virtual assistants, clinical NLP applications, and social media analytics. Detailed sections on text pre-processing, syntactic analysis, machine translation, text classification, named entity recognition, and sentiment analysis equip readers with the knowledge to build sophisticated NLP models.The final chapters of the book explore generative AI, including generative adversarial networks (GANs) for image generation, variational autoencoders for vibrational encoder training, and autoregressive models for time series forecasting. It also delves into Markov chain models for text generation, Boltzmann machines for pattern recognition, and deep belief networks for financial forecasting. Special attention is given to the application of recurrent neural networks (RNNs) for generation tasks, such as wind power plant predictions and battery range prediction, showcasing the practical implementations of generative AI in various fields.
ENGLISH

Introduction To Quantum Computing

by Ahmed Banafa

42,39€ + 10% CARD

 This book explores quantum computing as a transformative technology and its applications in cryptography, teleportation, IoT, AI, and Blockchain, and the futurist concept of quantum internet.
ENGLISH

Introduction To Blockchain Technology

by Ahmed Banafa

42,39€ + 10% CARD

 This book explores the fundamentals and applications of Blockchain technology.
ENGLISH

Introduction To Internet Of Things (Iot)

by Ahmed Banafa

42,39€ + 10% CARD

 This book introduces the Internet of Things (IoT), which is the convergence of connecting people, things, data and processes; it is transforming our life, business and everything in between. By 2025, experts forecast that up to 75 billion devices will be connected to the Internet with only one third of them being computers, smartphones, smartwatches, and tablets. The remaining two thirds will be other "devices" - sensors, terminals, household appliances, thermostats, televisions, automobiles, production machinery, urban infrastructure and many other "things", which traditionally have not been Internet enabled. This "Internet of Things" (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution mobile devices connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined.

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