SKU: 41424588093

Implementing MLOps in the Enterprise

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Description

Implementing MLOps in the EnterpriseWith demand for scaling, real time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production.Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs.You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you:
Learn the MLOps process, including its technological and business value
Build and structure effective MLOps pipelines
Efficiently scale MLOps across your organization• Explore common MLOps use cases
Build MLOps pipelines for hybrid deployments, real-time predictions, and composite AI
Learn how to prepare for and adapt to the future of MLOps
Effectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy
About the AuthorYaron Haviv is a serial entrepreneur who has been applying his deep technological experience in data, cloud, AI and networking to leading startups and enterprise companies since the late 1990s. As the co-founder and CTO of Iguazio, Yaron drives the strategy for the companys data science platform and leads the shift towards real- time AI. He also initiated and built Nuclio, a leading open source serverless platform with over 4,000 Github stars and MLRun, Iguazios open source MLOps orchestration framework.Noah Gift is the founder of Pragmatic A.I. Labs. Noah Gift lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, the Graduate Data Science program at UC Berkeley, the UC Davis Graduate School of Management MSBA program, UNC Charlotte Data Science Initiative and University of Tennessee (as part of the Tennessee Digital Jobs Factory). He teaches and designs graduate machine learning, MLOps, A.I., Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students.

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SKU: 41424588093

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Chelsea, US
★★★★★ 5
Perfect fit every time
Color: Silver, Size: 30W x 30L
These original 874’s are the real deal. Stocked up during the sale and got them for my husband. He loves all the colors and the durability of these pants is incredible. He still has some from 14 years ago! But he wanted a few new ones- and they had more colors so I stocked up and surprised him when I told him how much they cost during the sale. These pants never wrinkle. I wash them hot and air dry- no wrinkling or shrinking. They look great. They’re sewn to perfection. The quality is there and has been for years, a reason my husband only wears these. Quality, value, durability, style, fit. Great for all seasons, they’re not too heavy or too light. Great functionality- pockets for everything . Great even in summer - they are very breathable. Perfect fit every time. Great for heavy road construction or just going for a hike. Highly recommend!
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Reviewed in the United States on November 22, 2025
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Draper, US
★★★★★ 5
Good work pants
Color: Dark Brown, Size: 46W x 32L
run small / snug I would recommend getting next size up minimum.
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Reviewed in the United States on May 18, 2026
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Phoenix, US
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Color: Black, Size: 32W x 34L
Great fit and quality, nice color, this are a work pants, pretty durable and they haven’t fade, also they don’t shrink or wrinkle
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LucasCoto
Boise, US
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Color: Mushroom, Size: 32W x 30L, Color: Mushroom, Size: 32W x 30L
They go small, Im 5'8", 165lbs, usually 32x30 fits just rigth in most brands Levis, Izod, whatever, can't even close the zipper on this one, my dingus prints in the front if I manage to close it, I will try a 34 or even 36, if you want one, size it up. Length is right. Anyway, the pant is good, sturdy looking material, is not soft but nothing uncomfortable probably gets right after break it in, reinforced stitches on pockets. I think they would work great for a technician, salesman or an engineer, those jobs where you have to look like a human being with a polo shirt but sometimes needs to do something without ripping your pants while crouching or for daily abuse of the regular Joe, will try another that fits
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Omaha, US
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Color: Black, Size: 36W x 32L
My grandson uses these for work. Well-made and durable. Worth the price. Fit is comfortable.
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Reviewed in the United States on April 13, 2026

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