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This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code …
Accelerate the adoption of machine learning by automating away the complex parts of the ML pipeline using H2O.aiKey FeaturesLearn how to train the best models with a single click …
Learn concepts, methodologies, and applications of deep learning for building predictive models from complex genomics data sets to overcome challenges in the life sciences and …
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning servicesKey FeaturesImplement end-to-end …
Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and …
Take your machine learning models to the next level by learning how to leverage hyperparameter tuning, allowing you to control the model’s finest detailsKey FeaturesGain a deep …
Build predictive models using large data volumes and deploy them to production using cutting-edge techniquesKey FeaturesBuild highly accurate state-of-the-art machine learning …
Plan and design model serving infrastructure to run and troubleshoot distributed deep learning training jobs for improved model performance.Key FeaturesExplore key Amazon SageMaker …
Explore supercharged machine learning techniques to take care of your data laundry loadsKey FeaturesLearn how to prepare data for machine learning processesUnderstand which …
Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python librariesKey FeaturesLearn and implement feature …