The Machine Learning Solutions Architect Handbook (Packt) (Audiobook)
The Machine Learning Solutions Architect Handbook (Packt) (Audiobook)
2022 | English | 1837632459 | 8 hours and 32 minutes | MP3 192 kbps | 714 MB
Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions
About This Audiobook
Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud
Build an efficient data science environment for data exploration, model building, and model training
Learn how to implement bias detection, privacy, and explainability in ML model development
In Detail
When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you'll need to become one.
You'll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch.
Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You'll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases.
By the end of this audiobook, you'll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.
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