finelybook
Python机器学习基础教程
作者: [德] 安德里亚斯·穆勒 / [美] 莎拉·吉多 出版社: 人民邮电出版社 原作名: Introduction to Machine Learning with Python 译者: 张亮 出版年: 2018-1 页数: 300 定...
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标签：Machine Learning 第42页
Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production
Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production...
The Insider’s Guide to Arm Cortex-M Development: Leverage embedded software development tools and examples to become an efficient Cortex-M developer
The Insider's Guide to Arm Cortex-M Development: Leverage embedded software development tools and examples to become an ...
Accelerate Deep Learning Workloads with Amazon SageMaker: Train, deploy, and scale deep learning models effectively using Amazon SageMaker
Accelerate Deep Learning Workloads with Amazon SageMaker: Train, deploy, and scale deep learning models effectively usin...
The Machine Learning Simplified: A Gentle Introduction to Supervised Learning
The Machine Learning Simplified: A Gentle Introduction to Supervised Learning Kindle Edition by Andrew Wolf(Author) ASIN...
Feature Selection in Machine Learning with Python
Feature Selection in Machine Learning with Python Over 20 methods to select the most predictive features and build simpl...
Tree-Based Machine Learning Methods in SAS Viya
Tree-Based Machine Learning Methods in SAS Viya Author: Sharad Saxena Publisher finelybook 出版社: SAS Institute (February ...
Hiring Data Scientists and Machine Learning Engineers: A practical guide
Hiring Data Scientists and Machine Learning Engineers: A practical guide by Roy Keyes Publisher finelybook 出版社: BookPatc...
JavaScript: The Comprehensive Guide to Learning Professional JavaScript Programming
JavaScript: The Comprehensive Guide to Learning Professional JavaScript Programming (The Rheinwerk Computing) Author: Ph...
Effective Data Management – Practical Data needs of Machine Learning: Distributed Data Management
Effective Data Management – Practical Data needs of Machine Learning: Distributed Data Management Hyper Cycle of Data Ma...