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2 produkter
2 produkter
Practical Guide to Machine Learning, NLP, and Generative AI: Libraries, Algorithms, and Applications
Häftad, Engelska, 2024
776 kr
Skickas inom 10-15 vardagar
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.
Designing Control Strategies for Harmonic Power Filters to Improve the Power Quality in Distribution Networks
Harmonic Power Filters Design
Inbunden, Engelska, 2025
1 492 kr
Skickas inom 10-15 vardagar
In today’s complex and interconnected electrical power systems, maintaining high power quality is crucial for efficient operation and reliability. This book delves into the intricacies of power quality issues, with a special focus on harmonics and their mitigation through advanced filter design and control strategies. It is tailored for both professionals and students in electrical engineering, power systems, and power electronics. It offers a detailed exploration of the following key topics:Fundamentals of power quality: Understand the basic concepts of power quality, its importance, and the common issues encountered in modern distribution networksHarmonic analysis: Learn about the sources of harmonics, their effects on electrical systems, and the methodologies for their analysisFilter design techniques: Discover various types of harmonic filters, including passive, active, and hybrid filters, and the principles behind their designControl strategies: Gain insights into advanced control techniques for harmonic filters, focusing on improving system stability, efficiency, and performanceFuture trends and innovations: Stay ahead with the latest developments and future trends in harmonic filtering and power quality improvementWritten by leading experts in the field, this book combines theoretical foundations with practical insights, making it an essential resource for anyone looking to deepen their understanding of power quality and harmonic filtering. Whether you are an academic, a practicing engineer, or a researcher, this book provides the knowledge and tools needed to tackle the challenges of modern power distribution networks and ensure high-quality power delivery.