Train, test, run, track, store, tune, deploy, and explain provenance-aware deep learning models and pipelines at scale with reproducibility using MLflow Key Features Focus on deep learning models and MLflow to develop practical business AI solutions at scale Ship deep learning pipelines from experimentation to production with provenance tracking Learn to train, run, tune and deploy deep learning pipelines with explainability and reproducibility Book DescriptionThe book starts with an overview of the deep learning (DL) life ...
Read More
Train, test, run, track, store, tune, deploy, and explain provenance-aware deep learning models and pipelines at scale with reproducibility using MLflow Key Features Focus on deep learning models and MLflow to develop practical business AI solutions at scale Ship deep learning pipelines from experimentation to production with provenance tracking Learn to train, run, tune and deploy deep learning pipelines with explainability and reproducibility Book DescriptionThe book starts with an overview of the deep learning (DL) life cycle and the emerging Machine Learning Ops (MLOps) field, providing a clear picture of the four pillars of deep learning: data, model, code, and explainability and the role of MLflow in these areas. From there onward, it guides you step by step in understanding the concept of MLflow experiments and usage patterns, using MLflow as a unified framework to track DL data, code and pipelines, models, parameters, and metrics at scale. You'll also tackle running DL pipelines in a distributed execution environment with reproducibility and provenance tracking, and tuning DL models through hyperparameter optimization (HPO) with Ray Tune, Optuna, and HyperBand. As you progress, you'll learn how to build a multi-step DL inference pipeline with preprocessing and postprocessing steps, deploy a DL inference pipeline for production using Ray Serve and AWS SageMaker, and finally create a DL explanation as a service (EaaS) using the popular Shapley Additive Explanations (SHAP) toolbox. By the end of this book, you'll have built the foundation and gained the hands-on experience you need to develop a DL pipeline solution from initial offline experimentation to final deployment and production, all within a reproducible and open source framework. What you will learn Understand MLOps and deep learning life cycle development Track deep learning models, code, data, parameters, and metrics Build, deploy, and run deep learning model pipelines anywhere Run hyperparameter optimization at scale to tune deep learning models Build production-grade multi-step deep learning inference pipelines Implement scalable deep learning explainability as a service Deploy deep learning batch and streaming inference services Ship practical NLP solutions from experimentation to production Who this book is forThis book is for machine learning practitioners including data scientists, data engineers, ML engineers, and scientists who want to build scalable full life cycle deep learning pipelines with reproducibility and provenance tracking using MLflow. A basic understanding of data science and machine learning is necessary to grasp the concepts presented in this book.
Read Less
Add this copy of Practical Deep Learning at Scale With Mlflow to cart. $48.78, new condition, Sold by Books2anywhere rated 5.0 out of 5 stars, ships from Fairford, GLOUCESTERSHIRE, UNITED KINGDOM, published 2022 by Packt Publishing Limited.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
Add this copy of Practical Deep Learning at Scale with MLflow: Bridge to cart. $49.08, new condition, Sold by GreatBookPricesUK5 rated 4.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2022 by Packt Publishing Limited.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Practical Deep Learning at Scale With Mlflow to cart. $53.79, new condition, Sold by Paperbackshop International rated 4.0 out of 5 stars, ships from Fairford, GLOS, UNITED KINGDOM, published 2022 by Packt Publishing Limited.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
Add this copy of Practical Deep Learning at Scale with MLflow: Bridge to cart. $49.36, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2022 by Packt Publishing Limited.
Add this copy of Practical Deep Learning at Scale with MLflow: Bridge to cart. $57.42, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2022 by Packt Publishing Limited.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Practical Deep Learning at Scale With Mlflow: Bridge to cart. $57.43, new condition, Sold by BargainBookStores rated 4.0 out of 5 stars, ships from Grand Rapids, MI, UNITED STATES, published 2022 by Packt Publishing.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New in New jacket. Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production (Paperback or Softback)
Add this copy of Practical Deep Learning at Scale With Mlflow: Bridge to cart. $117.82, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2022 by Packt Publishing.
