Meetu malhotra (28 risultati)

Paperback or Softback. Condizione: New. Decoding Machine Learning: Understanding algorithms through math and Python implementation (English Edition). Book.

Condizione: New.

Paperback. Condizione: Brand New. In Stock.

Condizione: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Condizione: NEW.

Condizione: New. 2026. paperback. . . . . .

Condizione: New.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. In.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. In.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condizione: New.

Hardback. Condizione: New.

Paperback. Condizione: new. Paperback. The book systematically covers foundational to advanced data science concepts through structured programming implementations. It begins with machine learning fundamentals and exploratory data analysis using NumPy and Pandas, then covers the math behind supervised algorithms like linear regression and unsupervised clustering techniques like K-means. You will master ensemble learning architectures like XGBoost, time series forecasting with FBProphet, automated hyperparameter optimization using the Optuna framework, and imbalanced data corrections via SMOTE. The book concludes with a specialized bonus chapter that breaks down the math behind multi-head self-attention mechanisms and fine-tuning strategies within large language model transformer architectures using the Hugging Face ecosystem. By the end of this book, readers will be able to move confidently from raw data to working models. They will possess practical skills in data preparation, model building, evaluation, and optimization, giving them the confidence to solve complex, data-driven software engineering problems in real-world scenarios. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. The book systematically covers foundational to advanced data science concepts through structured programming implementations. It begins with machine learning fundamentals and exploratory data analysis using NumPy and Pandas, then covers the math behind supervised algorithms like linear regression and unsupervised clustering techniques like K-means. You will master ensemble learning architectures like XGBoost, time series forecasting with FBProphet, automated hyperparameter optimization using the Optuna framework, and imbalanced data corrections via SMOTE. The book concludes with a specialized bonus chapter that breaks down the math behind multi-head self-attention mechanisms and fine-tuning strategies within large language model transformer architectures using the Hugging Face ecosystem. By the end of this book, readers will be able to move confidently from raw data to working models. They will possess practical skills in data preparation, model building, evaluation, and optimization, giving them the confidence to solve complex, data-driven software engineering problems in real-world scenarios. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI is powering modern industries across different domains, from recommendations to forecasting, making it a must-have skill. As global AI adoption accelerates, it has become necessary for professionals to understand deeply how to utilize machine learning to build more reliable solutions.The book systematically covers foundational to advanced data science concepts through structured programming implementations. It begins with machine learning fundamentals and exploratory data analysis using NumPy and Pandas, then covers the math behind supervised algorithms like linear regression and unsupervised clustering techniques like K-means. You will master ensemble learning architectures like XGBoost, time series forecasting with FBProphet, automated hyperparameter optimization using the Optuna framework, and imbalanced data corrections via SMOTE. The book concludes with a specialized bonus chapter that breaks down the math behind multi-head self-attention mechanisms and fine-tuning strategies within large language model transformer architectures using the Hugging Face ecosystem. By the end of this book, readers will be able to move confidently from raw data to working models. They will possess practical skills in data preparation, model building, evaluation, and optimization, giving them the confidence to solve complex, data-driven software engineering problems in real-world scenarios. WHAT YOU WILL LEARN? Understand core machine learning algorithms from scratch.? Perform by-hand calculations on small, simple datasets.? Implement models using Python and popular libraries.? Explain algorithms in clear, plain English.? Apply ML concepts to real-world industry scenarios.? Build confidence for interviews and practical projects.WHO THIS BOOK IS FORIdeal for students, analysts, engineers, and professionals transitioning into AI, this book requires only basic Python programming familiarity. It provides data scientists, educators, and interview candidates with clear mathematical proofs and hands-on workflows to build industry-grade machine learning skills.…

Taschenbuch. Condizione: Neu. Decoding Machine Learning | Understanding algorithms through math and Python implementation (English Edition) | Meetu Malhotra (u. a.) | Taschenbuch | Englisch | 2026 | BPB Publications | EAN 9789378547263 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condizione: Neu. Combating Cyberbullying With Generative AI | Kishor Kumar Reddy C. (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337305448 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cyberbullying is a pervasive global issue that threatens mental health, particularly among young people, with alarming rates of victimization. Emerging technologies like generative AI offer powerful tools to detect, prevent, and mitigate harmful online behavior, addressing this critical societal challenge. The use of machine learning and natural language processing enables early identification of offensive content, though ethical considerations and privacy concerns remain vital. Advancing AI-driven solutions to combat cyberbullying has the potential to create safer digital environments, fostering well-being and inclusivity online. These efforts not only bridge a significant research gap but also empower stakeholders to develop responsible, effective strategies against online abuse. Combating Cyberbullying with Generative AI emphasizes the creative ability of generative AI to generate innovative solutions that are tailored to the issues faced in cyberbully detection. It presents case studies and practical examples that demonstrate effective merging of generative AI in cyberbullying space, providing readers with applicable knowledge and motivation to implement these technologies in their situations. Covering topics such as creativity, intelligent systems, and social platforms, this book is an excellent resource for scholars, researchers, professionals, practitioners, and more.…

Buch. Condizione: Neu. Combating Cyberbullying With Generative AI | Kishor Kumar Reddy C. (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798337305431 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cyberbullying is a pervasive global issue that threatens mental health, particularly among young people, with alarming rates of victimization. Emerging technologies like generative AI offer powerful tools to detect, prevent, and mitigate harmful online behavior, addressing this critical societal challenge. The use of machine learning and natural language processing enables early identification of offensive content, though ethical considerations and privacy concerns remain vital. Advancing AI-driven solutions to combat cyberbullying has the potential to create safer digital environments, fostering well-being and inclusivity online. These efforts not only bridge a significant research gap but also empower stakeholders to develop responsible, effective strategies against online abuse. Combating Cyberbullying with Generative AI emphasizes the creative ability of generative AI to generate innovative solutions that are tailored to the issues faced in cyberbully detection. It presents case studies and practical examples that demonstrate effective merging of generative AI in cyberbullying space, providing readers with applicable knowledge and motivation to implement these technologies in their situations. Covering topics such as creativity, intelligent systems, and social platforms, this book is an excellent resource for scholars, researchers, professionals, practitioners, and more.…