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The Path to Predictive Analytics and Machine Learning

Unknown Author
4.9/5 (29411 ratings)
Description:In many companies today, discussions about predictive analytics and machine learning tend to overlook one critical component: implementation. This report will help you examine practical methods for building and deploying scalable, production-ready machine-learning applications. Leveraging machine-learning models in production, after all, separates revenue generation and cost savings from mere intellectual novelty.Product specialists from MemSQL describe several real-time use cases, including "operational" applications, where machine-learning models automate decision-making processes, as well as "interactive" applications, where machine learning informs decisions made by humans. You’ll also explore modern data processing architectures and leading technologies available for data processing, analysis, and visualization.With this report, you’ll find ways to:- Build real-time data pipelines- Process transactions and analytics in a single database- Create custom real-time dashboards- Redeploy batch models in real time- Build real-time machine learning applications- Prepare data pipelines for predictive analytics and machine learning- Apply predictive analytics to real-time challenges- Use techniques for predictive analytics in production- Move from machine learning to artificial intelligenceWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with The Path to Predictive Analytics and Machine Learning. To get started finding The Path to Predictive Analytics and Machine Learning, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
90
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly
Release
2016
ISBN
1491969687

The Path to Predictive Analytics and Machine Learning

Unknown Author
4.4/5 (1290744 ratings)
Description: In many companies today, discussions about predictive analytics and machine learning tend to overlook one critical component: implementation. This report will help you examine practical methods for building and deploying scalable, production-ready machine-learning applications. Leveraging machine-learning models in production, after all, separates revenue generation and cost savings from mere intellectual novelty.Product specialists from MemSQL describe several real-time use cases, including "operational" applications, where machine-learning models automate decision-making processes, as well as "interactive" applications, where machine learning informs decisions made by humans. You’ll also explore modern data processing architectures and leading technologies available for data processing, analysis, and visualization.With this report, you’ll find ways to:- Build real-time data pipelines- Process transactions and analytics in a single database- Create custom real-time dashboards- Redeploy batch models in real time- Build real-time machine learning applications- Prepare data pipelines for predictive analytics and machine learning- Apply predictive analytics to real-time challenges- Use techniques for predictive analytics in production- Move from machine learning to artificial intelligenceWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with The Path to Predictive Analytics and Machine Learning. To get started finding The Path to Predictive Analytics and Machine Learning, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
90
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly
Release
2016
ISBN
1491969687
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