Order Total (1 Item Items):
Shipping Destination:
AI & Machine Learning ENG (48 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (48)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (46)
- As New, Fine or Near Fine (2)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (48)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (6)
- Not Print on Demand (17)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
LEARN Scikit-Learn
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New.
-
Condition: As New. Unread book in perfect condition.
-
LEARN XGBoost
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New.
-
-
Condition: New. SUPER FAST SHIPPING.
-
Condition: New. SUPER FAST SHIPPING.
-
Learn Mlflow
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New.
-
LEARN MLFLOW: Manage Machine Learning Pipelines and Models Efficiently (AI & Machine Learning ENG)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
-
LEARN Scikit-Learn: Essential Machine Learning for Data Science (AI & Machine Learning ENG)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
-
LEARN TENSORFLOW: From Fundamentals to Practical Applications (AI & Machine Learning ENG)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
-
LEARN PYTORCH: Master Creating Deep Learning Models with Flexibility and Efficiency (AI & Machine Learning ENG)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
-
LEARN KERAS: Master Neural Networks and Deep Learning with Python (AI & Machine Learning ENG)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
-
Learn Pytorch: Master Creating Deep Learning Models with Flexibility and Efficiency
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Learn Pytorch: Master Creating Deep Learning Models with Flexibility and Efficiency
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Paperback. Condition: new. Paperback. LEARN Scikit-Learn: Essential Machine Learning for Data ScienceThis book is the key to mastering Scikit-Learn and building market-ready Machine Learning projects. Ideal for professionals and students who seek fast, direct, and applicable results. Learn high-impact techniques, design intelligent solutions, and boost your career in data science.Includes: - Quick setup of a productive environment with Python and Scikit-Learn- Data preprocessing and full pipeline automation- Fine-tuning models with cross-validation and hyperparameters- Practical application of regression, classification, and clustering- Model deployment integrated with Big Data and MLOps environmentsMaster the most widely used algorithms in the market and accelerate your entry into data science projects with Scikit-Learn.scikit-learn, machine learning, data science, smart pipelines, model automation, cross-validation, machine learning deployment, big data integration, mlops, spark This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
Paperback. Condition: new. Paperback. LEARN TENSORFLOWMaster AI Model Development with Scalability and Precision. From Fundamentals to Practical Applications.This comprehensive guide is aimed at developers and students who want to create robust, high-performance, and scalable solutions with TensorFlow.You will learn to apply deep learning efficiently, master data pipelines, build advanced models, and deploy them professionally into production.Includes: - Tensor manipulation and model structuring with Keras- Building and training CNNs, RNNs, Transformers, and GANs- Regularization techniques, hyperparameter tuning, and performance optimization- Practical implementation with tf.data, TensorBoard, and TensorFlow Lite- Deployment with TensorFlow Serving, IoT integration, and use of GPUs and TPUs- Real-world cases in NLP, computer vision, healthcare, and enterprise systemsBy the end, you'll be fully equipped to develop TensorFlow applications for critical scenarios and scalable environments with technical excellence.tensorflow, keras, deep learning, cnn, rnn, gpu, deployment, iot, scalable models This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
Paperback. Condition: new. Paperback. LEARN MLflow - Manage Machine Learning Pipelines and Models EfficientlyThis book offers a technical and practical approach for professionals looking to master MLflow - one of the leading platforms for managing the machine learning model lifecycle. The content covers everything from environment setup to production deployment, with a strong focus on reproducibility, versioning, tracking, and technical governance. Each chapter presents a key MLflow component (Tracking, Projects, Models, Model Registry) and demonstrates how to apply it in real-world scenarios, with clear examples, progressive structure, and established best practices.More than an introduction, this is a professional operations guide. Throughout the chapters, you will learn how to build auditable pipelines, automate CI/CD integrations, manage model versions in production, analyze metrics, and plan for scalability. Integrations with AutoML, Spark, cloud environments, security validation, access control, and post-deployment monitoring are also explored.The content was developed based on the TECHWRITE 2.2 protocol, ensuring immediate applicability in corporate and technical environments. Ideal for data engineers, data scientists, MLOps architects, and technical leaders seeking to raise the standard of model delivery in real-world environments.MLflow, MLOps, model management, experiment tracking, model deployment. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
Paperback. Condition: new. Paperback. This book is ideal for developers and students who want to build deep learning models with PyTorch, combining flexibility, control, and real-world performance.You will learn to apply modern techniques to design, train, and scale robust neural networks in real-world environments, covering everything from fundamentals to advanced architectures.Includes: - Tensor manipulation and Autograd usage- Modular neural network construction with torch.nn- Training with DataLoader, optimizers, and loss functions- Practical application with CNNs, RNNs, Transformers, and GANs- Integration with PyTorch Lightning, TorchScript, and model export- Real-world projects with NLP, computer vision, IoT, and cloud deploymentBy the end, you will master PyTorch as a professional tool to design scalable AI solutions with technical precision and development agility. ytorch, deep learning, neural networks, torch.nn, autograd, distributed training, cnn, rnn, transformers, deployment This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
LEARN Scikit-Learn
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
Paperback. Condition: New.
-
Paperback. Condition: New.
-
Paperback. Condition: New.
-
Paperback. Condition: new. Paperback. Learn how to build Deep Learning models with Keras, the high-level library based onTensorFlow and the most widely used for neural networks in Python. This book offers a technical, straight-to-the-point guide that takes you from the fundamentals of neural networks to advanced applications with CNNs, RNNs, LSTM, Transfer Learning, NLP, and MLOps.You will learn how to set up the ideal development environment, build architectures using the sequential model and the functional API, tune hyperparameters, apply regularization, interpret networks with Grad-CAM, and monitor results with TensorBoard. Additionally, this manual details integration with libraries such as Pandas, Matplotlib, and Scikit-Learn, enabling complete workflows for modeling, evaluation, and deployment in production using APIs or serverless environments.The book covers essential topics such as training with GPUs and TPUs, tuning with Keras Tuner, using callbacks, best practices with TensorFlow, and modern strategies for model engineering. Each chapter follows the TECHWRITE 2.1 Protocol, featuring clear explanations, practical examples, commented common errors, applicable best practices, and a full focus on immediate applicability.Suitable for beginners in neural networks as well as professionals in data science, machine learning, and predictive automation, this book is designed to transform theory into real-world solutions, with a focus on technical clarity, progressive structure, and practical mastery of neural networks.APRENDA Keras is your definitive step to begin your journey toward mastering Deep Learning with efficiency, robustness, and professional purpose. Ideal for those who want to master artificial intelligence with depth and pragmatism. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
