Описание: Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to learn to use this language to perform exploratory data analysis and solve an array of business challenges.
You'll start by reviewing PySpark fundamentals, such as Spark’s core architecture, and see how to use PySpark for big data processing like data ingestion, cleaning, and transformations techniques. This is followed by building workflows for analyzing streaming data using PySpark and a comparison of various streaming platforms.
You'll then see how to schedule different spark jobs using Airflow with PySpark and book examine tuning machine and deep learning models for real-time predictions. This book concludes with a discussion on graph frames and performing network analysis using graph algorithms in PySpark. All the code presented in the book will be available in Python scripts on Github.
What You'll Learn
Develop pipelines for streaming data processing using PySpark Build Machine Learning & Deep Learning models using PySpark latest offeringsUse graph analytics using PySpark Create Sequence Embeddings from Text data
Who This Book is For
Data Scientists, machine learning and deep learning engineers who want to learn and use PySpark for real time analysis on streaming data.
Описание: As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
Описание: Chapter 1: Introduction to Deep Learning-based Technological Applications.- Chapter 2: Vision to Language: Methods, Metrics and Datasets.- Chapter 3: Deep Learning Techniques for Geospatial Data Analysis.- Chapter 4: Deep Learning Approaches in Food Recognition.- Chapter 5: Deep Learning for Twitter Sentiment Analysis: the Effect of pre-trained Word Embedding.- Chapter 6: A Good Defense is a Strong DNN: Defending the IoT with Deep Neural Networks.- Chapter 7: Survey on Deep Learning Techniques for Medical Imaging Application Area.- Chapter 8: Deep Learning Methods in Electroencephalography.
At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4)Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance.
This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.
Описание: People use science every single day in their jobs! From a smoothie maker creating a vortex to blend fruit and vegetables to firefighters extinguishing a blaze by breaking the fire triangle, the jobs and occupations at the heart of this super-creative non-fiction read will inspire all children to seek out the everyday science in the world around us.
Автор: Aboul Ella Hassanien; Mohamed Tolba; Ahmad Taher A Название: Advanced Machine Learning Technologies and Applications ISBN: 3319134604 ISBN-13(EAN): 9783319134604 Издательство: Springer Рейтинг: Цена: 11460.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. machine learning in watermarking/authentication and virtual machines;
Название: Machine learning for healthcare technologies ISBN: 1849199787 ISBN-13(EAN): 9781849199780 Издательство: Неизвестно Рейтинг: Цена: 26553.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes.
Описание: This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22-24, 2018, and organized by the Scientific Research Group in Egypt (SRGE).
Автор: Marta E. Zorrilla, Jose-Norberto Mazon, Oscar Ferrandez, Irene Garrigos, Florian Daniel Название: Business Intelligence Applications and the Web: Models, Systems and Technologies ISBN: 1613500386 ISBN-13(EAN): 9781613500385 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Summarises current research advances in BI and the Web, emphasizing research solutions, techniques, and methodologies which combine both areas in the interest of building better BI solutions. This comprehensive collection emphasises the interconnections that exist among the two research areas and to highlight the benefits of combined use of BI and Web practices.
Автор: Hassanien Название: Advanced Machine Learning Technologies and Applications ISBN: 9811533822 ISBN-13(EAN): 9789811533822 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 - 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE).
Описание: Chapter 1. Prediction of Anemia Disease Using Classification Methods.- Chapter 2. Diabetic symptoms prediction through retinopathy.- Chapter 3. Prediction of Cervical Cancer.- Chapter 4. A new 5-layer model approach for Pneumonia Prediction.- Chapter 5. Prediction of Liver Malady using Advanced Classification Algorithms.- Chapter 6. A Fuzzy based Approach for Indian Standard Classification of Soils.- Chapter 7. Blocking Mobile Based Games and Nullifying the Search String Containing Inappropriate Words.- Chapter 8. A methodology to retrieve information from ontologies with the application of D2R Mapping and SPARQL.- Chapter 9. Fuzzy logic controller for accurate diagnostics in X ray film.- Chapter 10. Heart Attack Classification using SVM with LDA and PCA linear transformation techniques.- Chapter 11. Distributed Training of Deep Neural Network for Segmentation-free Telugu Word Recognition.- Chapter 12. Word Sense Disambiguation for Telugu using Lesk.- Chapter 13. Identifying the Duplicate Questions in Community Question Answering Forums using Machine Learning Approaches.- Chapter 14. A Comparison of Classical Machine Learning Approaches for Early Structural Damage Identification.- Chapter 15. Real Estate Sales Forecasting with SVM Classification.
Описание: The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.
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