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In den WarenkorbPaperback. Zustand: new. Paperback. AI and Machine Learning in Action: Real-World Solutions for CodersUnlock the potential of AI and machine learning with this practical, hands-on guide designed for coders of all skill levels. Whether you're a seasoned programmer or just starting your journey, this book provides everything you need to dive into the world of intelligent systems. Using popular Python frameworks like Scikit-Learn, TensorFlow, and Keras, you'll learn to build, train, and deploy machine learning models to solve real-world problems effectively.This comprehensive book covers the full spectrum of machine learning-from foundational concepts to advanced AI techniques-using clear examples, minimal theory, and actionable projects.What You'll Learn: Get Started with Python for Machine Learning: Understand why Python is perfect for AI, and set up tools like Anaconda, Jupyter, and essential libraries (NumPy, Pandas, Matplotlib).Master Supervised Learning: Build predictive models using linear regression, decision trees, random forests, and more. Learn to evaluate models with precision.Explore Unsupervised Learning: Implement clustering, dimensionality reduction, and real-world projects like customer segmentation.Dive Into Deep Learning: Build neural networks, and convolutional networks (CNNs), and implement tasks like handwritten digit recognition and image classification.Tackle Natural Language Processing (NLP): Preprocess text, create chatbots, and perform sentiment analysis using Python tools like NLTK and spaCy.Understand Reinforcement Learning: Implement Q-Learning and build AI for simple games.Deploy Your Models: Save, export, and deploy AI models using Flask and Streamlit.Develop End-to-End AI Projects: Gain hands-on experience with 10+ real-world projects, including stock market predictions, fraud detection, and chatbots for customer support.Why This Book?Real-World Focus: Learn AI and machine learning through practical examples that solve real problems.Simple and Accessible: No prior AI experience is required-just basic programming knowledge.Up-to-date Techniques: Cover the latest tools, frameworks, and methodologies in Python for ML.Ethics and Challenges: Explore responsible AI development, from mitigating bias to ensuring data privacy.Whether you aim to develop a strong foundation in machine learning or advance your skills in AI for coders, this book is your go-to resource for staying ahead in the fast-evolving world of technology.Start building intelligent systems today and uncover why machines learn to transform industries and drive innovation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbSoft cover. Zustand: New. ISBN:9789350044131,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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Verlag: Morgan and Claypool Publishers, 2008
ISBN 10: 1598295446 ISBN 13: 9781598295443
Sprache: Englisch
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In den WarenkorbZustand: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208421322 ISBN 13: 9786208421328
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 151 pages. 9.00x6.00x0.35 inches. In Stock.
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In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2022-08-01 Pages: 159 Publisher: Machinery Industry Press This book is divided into three parts. Part 1 introduces the topic of MLOps. taking a deep dive into how (and why) it evolved into a discipline. who needs to be involved to successfully execute MLOps. and what components are required. The second part introduces the life cycle of a machine learning model and includes chapters on model development. production preparation. production deployment. monit.
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In den Warenkorbpaperback. Zustand: New. Paperback.Pub Date:2022-03-01 Pages:314 Language:Chinese Publisher:People's Posts and Telecommunications Publishing House This book focuses on two types of core algorithms that can effectively predict results. including penalized linear regression methods and ensemble methods. Example details to show how to use these methods for different problems. The book is divided into 7 chapters. mainly about the selection of algorithms. the main points when building a prediction model. etc. and combine.
Anbieter: liu xing, Nanjing, JS, China
EUR 147,85
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In den Warenkorbpaperback. Zustand: New. Paperback. Pub Date: 2022-06-01 Pages: 344 Publisher: Machinery Industry Press This book mainly consists of two parts. Part 1 (Chapter 1 - Chapter 11) explains how to use TensorFlow to create machine learning models for different application scenarios. This section introduces TensorFlow. computer vision. natural language processing. and sequence modeling. The second part (Chapters 12-20) walks you through the scenarios of how to put models in the hands of users on Android and iOS. browsers us.
Verlag: Tsinghua University Press, 2023
ISBN 10: 7302635234 ISBN 13: 9787302635239
Sprache: Englisch
Anbieter: liu xing, Nanjing, JS, China
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In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2023-07 Pages: 391 Publisher: Tsinghua University Press The examples and illustrations provided in Machine Learning and Artificial Intelligence that Engineers Need to Know are from Prosise's AI and ML courses. which have been favored and welcomed by many companies and research institutes around the world. The author does not involve scary and daunting mathematical formulas. The only purpose is to help engineers and software developers get started quickly .
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In den Warenkorbpaperback. Zustand: New. Paperback. Pub Date: 2021-08-01 Pages: 230 Language: Chinese Publisher: People's Posts and Telecommunications Publishing House. The book starts with the development history and basic composition of the recommendation system. and then analyzes the content recall of the recommendation system. collaborative filtering recall. and deep learning recall. Representative model; from the classic ranking model to the ranking based on deep learning. we introduce conversational recommendation. reinforceme.
ISBN 10: 7111603028 ISBN 13: 9787111603023
Anbieter: liu xing, Nanjing, JS, China
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In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2018-08-01 Pages: 459 Publisher: Mechanical Industry Press This book is a good introduction to the theory and practice of using neural networks to solve problems. It covers the key points of building an effective application and the background knowledge to cope with the emergence of new research. I recommend this book to those interested in learning to use machine learning to solve practical problems.
Anbieter: liu xing, Nanjing, JS, China
EUR 123,15
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In den Warenkorbpaperback. Zustand: New. Paperback. Pub Date: 2021-09-01 Pages: 322 Language: Chinese Publisher: Peoples Posts and Telecommunications Publishing House This book is a systematic introduction to competitions in the field of algorithm competitions. The book not only contains the basic theoretical knowledge of the competition. but also combines multiple The directions and cases elaborated on the ideas and skills of the top points in the competition.?The book is divided into five parts: The first part focuses on the gener.
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In den Warenkorbpaperback. Zustand: New. Paperback. Pub Date: 2021-11-01 Pages: 276 Language: Chinese Publisher: Peoples Posts and Telecommunications Press This book describes how to build a complete machine learning pipeline to prepare data and train. verify. deploy and manage machine learning in a production environment Model.?You will understand every aspect of the machine learning pipeline and how to use TensorFlow Extended (TFX) to build a machine learning pipeline.?The life cycle of a model is a closed loop. which includes dat.
Verlag: Machinery Industry Press, 2021
ISBN 10: 7111669738 ISBN 13: 9787111669739
Sprache: Chinesisch
Anbieter: liu xing, Nanjing, JS, China
EUR 180,83
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In den Warenkorbpaperback. Zustand: New. Paperback. Pub Date: 2021-05-01 Pages: 480 Publisher: Machinery Industry Press This book helps you master the basic skills needed to identify and solve complex problems through machine learning and deep learning.?This book uses real examples from the popular Python machine learning ecosystem. and will become your perfect companion on the road to learning the art and science of machine learning and becoming a successful practitioner.?The concepts. technologies. tools. frameworks and methods us.