盘天下 | 免费精选资源分享

作者简介

Pramod Singh is Manager of Data Science at Bain & Company. Previously, he worked as Sr. Machine Learning Engineer at Walmart Labs and Data Science Manager at Publicis Sapient in India. He has spent over 10 years working in machine learning, deep learning, data engineering, algorithm design, and application development. He has authored three Apress books: Machine Learning with PySpark, Learn PySpark, and Learn TensorFlow 2.0. He is a regular speaker at major conferences such as O’Reilly’s Strata Data, GIDS, and other AI conferences. He is an active mentor and faculty in machine learning and AI at various educational institutes. He live s in Bangalore with his wife and four-year-old son. In his spare time, he enjoys play ing guitar, coding, reading, and watching football.
Manager of Data Science at Bain & Company. He has over 11 years of experience in the data science field working with multiple product- and service-based organizations. He has been part of numerous ML and AI large-scale projects. He has published three books on large scale data processing and machine learning. He is a regular speaker at major AI conferences.

内容简介

Build and deploy machine learning and deep learning models in production with end-to-end examples.

This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes.

The book is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into production. It also offers guidance to those who want to move beyond Jupyter notebooks to training models at scale on cloud environments. All the code presented in the book is available in the form of Python scripts for you to try the examples and extend them in interesting ways.

You will:

Build, train, and deploy machine learning models at scale using Kubernetes

Containerize any kind of machine learning model and run it on any platform using Docker

Deploy machine learning and deep learning models using Flask and Streamlit frameworks

Pramod Singh is Manager of Data Science at Bain & Company. Previously, he worked as Sr. Machine Learning Engineer at Walmart Labs and Data Science Manager at Publicis Sapient in India. He has spent over 10 years working in machine learning, deep learning, data engineering, algorithm design, and application development. He has authored three Apress books: Machine Learning with P...

下载地址

• 诚通网盘 提取码：8866
• 迅雷网盘 提取码：8ngj

【新用户手机夸克APP转存可以获得1TB免费空间】

夸克网盘「电影」精选合集：https://pan.quark.cn/s/0755e002f4b6

夸克网盘「纪录片」精选合集：https://pan.quark.cn/s/8c76cd47e8be

夸克网盘「短剧」精选合集：https://pan.quark.cn/s/0f27fae4301e

夸克网盘「音乐」精选合集：https://pan.quark.cn/s/c999e39a7f49

夸克网盘「教程」精选合集：https://pan.quark.cn/s/27984fcacdad

夸克网盘「书籍」精选合集：https://pan.quark.cn/s/2532536273dd