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Master complex big data processing, stream analytics, and machine learning with Apache Spark
Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key FeaturesMaste...
With Keras and PyTorch
Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch ...
Build highly effective analytics solutions to gain valuable insight into your big data
Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Key Features Learn Hadoop 3 to build effective big...
Learn the End-to-End Predictive Model-Building Cycle
Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use...
Implement Anomaly Detection Applications with Keras and PyTorch
This beginner-oriented book will help you understand and perform anomaly detection by learning cutting-edge machine learning and deep learning techniq...
Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure
Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, ...
Use Apache Flink and its ecosystem to process real-time big data About This Video Hands-on examples to help you build and administer a Flink ecosystem...