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Introducing MLOps
  • Language: en
  • Pages: 186

Introducing MLOps

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cyc...

What Is MLOps?
  • Language: en
  • Pages: 54

What Is MLOps?

  • Type: Book
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  • Published: 2020
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  • Publisher: Unknown

For years, organizations have struggled to move data science, machine learning, and AI projects from the realm of experimental to having real business impact. One reason is because pivoting operations around these technologies involves more than just technology--the orchestration of people and processes is also critically important. In the wake of the global health crisis, the need for structure around building and maintaining machine learning models (much less tens, hundreds, or thousands of them) has only grown. With this report, business leaders will learn about MLOps, a process for generating long-term value while reducing the risk associated with data science, ML, and AI projects. Autho...

From Nieder-Gemunden to Missouri
  • Language: en
  • Pages: 148

From Nieder-Gemunden to Missouri

  • Type: Book
  • -
  • Published: 1986
  • -
  • Publisher: Unknown

None

Introducing MLOps
  • Language: en
  • Pages: 150

Introducing MLOps

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Instead, many of these ML models do nothing more than provide static insights in a slideshow. If they aren't truly operational, these models can't possibly do what you've trained them to do. This book introduces practical concepts to help data scientists and application engineers operationalize ML models to drive real business change. Through lessons based on numerous projects around the world, six experts in data analytics provide an applied four-step approach--Build, Manage, Deploy and Integrate, and Monitor--for creating ML-infused applications within your organiz...

In Three Millenia
  • Language: en
  • Pages: 840

In Three Millenia

  • Type: Book
  • -
  • Published: 2002
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  • Publisher: Unknown

None

Detroit Suburban West-Northwest Area Telephone Directories
  • Language: en
  • Pages: 1228

Detroit Suburban West-Northwest Area Telephone Directories

  • Type: Book
  • -
  • Published: 2002
  • -
  • Publisher: Unknown

None

The Lutheran Witness
  • Language: en
  • Pages: 526

The Lutheran Witness

  • Type: Book
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  • Published: 1975
  • -
  • Publisher: Unknown

None

Forever
  • Language: en
  • Pages: 294

Forever

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Wherever Lynn Goes
  • Language: en
  • Pages: 262

Wherever Lynn Goes

  • Type: Book
  • -
  • Published: 1995-01-09
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  • Publisher: Unknown

None

Diary of a Multiple
  • Language: en
  • Pages: 52

Diary of a Multiple

None