machine learning techniques applied (73 Ergebnisse)

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 438 | Produktart: Bücher.

paperback. Zustand: Good.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Soft cover. Zustand: New. This book discusses how to apply machine learning to real-world problems by utilizing real-world data. In this book, you will investigate data sources, become acquainted with data pipelines, and practice how machine learning works through numerous examples and case studies. The book begins with high-level concepts and implementation (with code!) and progresses towards the real-world of ML systems. It briefly discusses various concepts of Statistics and Linear Algebra. You will learn how to formulate a problem, collect data, build a model, and tune it. You will learn about use cases for data analytics, computer vision, and natural language processing. You will also explore nonlinear architecture, thus enabling you to build models with multiple inputs and outputs. You will get trained on creating a machine learning profile, various machine learning libraries, Statistics, and FAST API. Throughout the book, you will use Python to experiment with machine learning libraries such as Tensorflow, Scikit-learn, Spacy, and FastAI. The book will help train our models on both Kaggle and our datasets.

paperback. Zustand: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.

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Zustand: New. Dr. Ravichander Janapati is presently working as an Associate Professor at Department of ECE, SR University, Warangal, Telangana, India. He is a senior member of IEEE, and he graduated in Electronics and Communication Engineering from JNTU Hyderab.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The increasing adoption of machine learning has created new opportunities for businesses to gain insights and make data-driven decisions. This book offers a comprehensive guide to applied techniques in machine learning model deployment, covering the essential considerations and best practices required to deploy successful machine learning models. By examining real-world examples and case studies, this resource provides valuable insights into the opportunities and challenges presented by machine learning model deployment. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. 'Applied Machine Learning Techniques in Wildlife Conservation' examines how advanced algorithms can be utilized to monitor and protect biodiversity. It discusses data collection methods, model development, and real-world applications that aid in tracking species, predicting threats, and informing conservation policies. The book underscores the transformative potential of machine learning in safeguarding natural ecosystems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. As the world grapples with the challenges of wildlife conservation, machine learning is increasingly being recognized as a powerful tool for driving positive change. This book offers a comprehensive guide to applied machine learning techniques in wildlife conservation, examining the key applications and case studies in this rapidly evolving field. From species classification to habitat monitoring, the book provides a detailed analysis of the most effective approaches to using machine learning for wildlife conservation. Whether you're a conservation biologist or a data scientist, this book offers a valuable resource for leveraging machine learning to make a lasting impact. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The 'Applied Machine Learning Techniques for Startups' book provides a practical guide to navigating the rapidly expanding landscape of machine learning (ML) for startups. As ML technology continues to transform industries and revolutionize the way we interact with data, companies must adapt their business models to capitalize on this emerging trend. This book offers a comprehensive framework for applying ML techniques to startup success, highlighting the key principles and best practices for effective ML implementation. By exploring the latest developments in ML technology, including ML-enabled product development, ML-based customer acquisition, and ML-driven revenue growth, readers will gain a deeper understanding of how to leverage ML to drive business growth and innovation. The book also emphasizes the importance of data-driven decision-making, highlighting the need for businesses to harness the power of data analytics to inform their ML-based strategies. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Applied Techniques in Machine Learning Model Deployment offers practical guidance on transitioning models from development to production environments. This book discusses deployment frameworks, scalability, and monitoring strategies essential for maintaining model performance. It emphasizes the importance of automation, version control, and security considerations. The content is tailored for data scientists and engineers seeking to operationalize machine learning solutions efficiently and reliably. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Market prediction is a complex task that requires a deep understanding of market dynamics, consumer behavior, and statistical modeling. 'Applied Machine Learning Techniques for Market Prediction' offers a comprehensive introduction to the application of machine learning algorithms in market prediction. By exploring the latest techniques and tools, this book provides a hands-on guide to developing accurate predictive models that drive business decision-making. From data preprocessing to model evaluation, this book equips data scientists with the skills to unlock the full potential of machine learning in market prediction. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Applied Machine Learning Techniques for Startups provides a practical approach to integrating machine learning into early-stage business models. This book covers fundamental algorithms, data handling, and deployment strategies suitable for startups seeking to harness AI for competitive advantage. It emphasizes agile development, cost-effective solutions, and real-world applications that drive growth and innovation. The insights offered are tailored to the unique challenges faced by startups in adopting advanced analytics and automation. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. As machine learning continues to transform the business landscape, organizations are looking for practical ways to harness its power. Applied Machine Learning Techniques in Business provides a hands-on guide to implementing machine learning solutions that drive business value. By exploring real-world applications, case studies, and best practices, this book equips business leaders with the knowledge and skills needed to integrate machine learning into their operations, improve decision-making, and stay ahead of the competition. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. As the natural world continues to face unprecedented threats, the need for effective wildlife monitoring and conservation strategies has never been more pressing. 'Applied Machine Learning Techniques for Wildlife Monitoring' presents a cutting-edge exploration of the latest machine learning techniques and tools that can be applied to this critical challenge, enabling researchers and conservationists to make more informed decisions and drive meaningful impact. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In today's fast-paced business environment, market prediction is more important than ever. Applied Machine Learning Techniques for Market Prediction provides a comprehensive guide to using machine learning to predict market trends and outcomes. By exploring the latest tools and techniques in machine learning, readers will learn how to develop predictive models that drive business decisions, improve forecasting accuracy, and stay ahead of the competition. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The field of wildlife monitoring is rapidly evolving, with researchers and conservationists developing new machine learning techniques and tools to track and analyze wildlife populations. However, successfully applying machine learning techniques to wildlife monitoring requires specialized skills and knowledge. This book, 'Applied Machine Learning Techniques for Wildlife Monitoring', provides a comprehensive guide to the key machine learning techniques and approaches for wildlife monitoring. From data collection and preprocessing to model development and deployment, this book covers the essential topics that researchers and conservationists must address when applying machine learning to wildlife monitoring. By mastering the machine learning techniques outlined in this book, readers will be able to develop effective machine learning solutions for wildlife monitoring and contribute to the conservation of wildlife populations. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Machine learning is transforming the manufacturing industry. 'Applied Machine Learning Techniques in Manufacturing' provides a comprehensive guide to applying machine learning techniques in manufacturing. This book explores the principles of machine learning, from data preprocessing to model evaluation. By mastering these concepts, readers will be able to develop a robust machine learning framework that drives efficiency and productivity. With a focus on practical application, this book empowers readers to develop the skills and knowledge necessary to succeed in the rapidly evolving manufacturing landscape. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work models certain processes of nature such as biological evolution and co-evolution as learning processes, and it proposes some techniques that can ensure that these learning processes really occur and can be used to solve certain complex problems such as the game of Go. Go is an ancient and very complex game with simple rules, a game which still presents a challenge for Artificial Intelligence. This work covers certain approaches that can be applied in order to solve this problem, and which are useful for solving other problems, with a proposal to use competitive and cooperative co-evolutionary learning methods and other techniques as suggested by the author.