Machine Learning Operations with TensorFlow and Kubeflow

Free Download Machine Learning Operations with TensorFlow and Kubeflow
by Nate Proetean
English | April 2, 2024 | ASIN: B0CZQTVKCJ | 421 pages | PDF | 145 Mb

"Machine Learning Operations with TensorFlow and Kubeflow" is the essential guide for data scientists, AI practitioners, and anyone looking to streamline their machine learning workflows. This meticulously crafted book offers a comprehensive dive into the world of machine learning operations (MLOps), emphasizing the practical deployment, monitoring, and management of machine learning models. With a strong focus on TensorFlow and Kubeflow, readers will master the art of building robust, scalable, and efficient AI solutions.
Starting with the fundamentals of machine learning and the inner workings of TensorFlow, the book progressively unveils the complexities of data preprocessing, feature engineering, and model building. Readers will navigate through the process of fine-tuning and optimizing models, ensuring they are production-ready. The pivotal aspect of automating machine learning pipelines with Kubeflow is thoroughly explored, enabling readers to deploy their TensorFlow models with confidence. Additional insights into advanced TensorFlow techniques, ethical AI development, and model management with TensorFlow Serving ensure this book covers all bases.
"Machine Learning Operations with TensorFlow and Kubeflow" is designed to transform its readers into proficient MLOps practitioners, capable of leveraging the power of TensorFlow and Kubeflow to deliver impactful machine learning projects. Whether you are embarking on your first machine learning project or looking to enhance your existing AI solutions, this book is your gateway to mastering machine learning operations.

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