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Data Science mit SAP HANA

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Series series Springer Nature Proceedings excluding Computer Science
Intelligent computing and networking are a rapidly growing area that has attracted significant attention due to its potential impact on the quality of service of applications for B5G/6G networks and the future Internet. To enable intelligent computing and networking, it is necessary to integrate technologies from the fields of communications, networking, computing, artificial intelligence, and ... Read more

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The Python Workshop

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Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projectsKey FeaturesBuild key Python skills with engaging development tasks and challenging activitiesImplement useful algorithms and write programs to solve real-world problemsApply Python in realistic data science projects and create simple machine ... Read more

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Computergestuetzte Transkription arabisch-deutscher Gespraechsdaten

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by Michael Schreiber, Rahaf Farag ...

Series Book 75 - FTSK. Publikationen des Fachbereichs Translations-, Sprach- und Kulturwissenschaft der Johannes Gutenberg-Universitaet Mainz in Germersheim
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Data Science from Scratch

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Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some ... Read more

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Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some
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Python Data Ecosystem

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In an era where data fuels innovation and drives decision-making, mastering the art of data engineering is paramount. Python Data Ecosystem: Navigating the Landscape of Data Engineering is your definitive guide to harnessing the full potential of the Python programming language in the realm of data engineering. Whether you're a seasoned data professional or just stepping into the world of data, ... Read more

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In an era where data fuels innovation and drives decision-making, mastering the art of data engineering is paramount. Python Data Ecosystem: Navigating the Landscape of Data Engineering is your definitive guide to harnessing the full potential of the Python programming language in the realm of data engineering. Whether you're a seasoned data professional or just stepping into the world of data,
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The Coding Pattern Bible 4 in 1

Arrays, Graphs, Dynamic Programming & Interview Strategy

by Mike Anderson ...

Every software engineer reaches a moment when the gap between what they build at work and what they are asked to do in an interview becomes painfully obvious. You can design microservices and debug production outages, but when someone asks you to find the number of islands in a binary grid, your mind goes blank. This experience is so common that the tech industry has developed an entire vocabulary ... Read more

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Every software engineer reaches a moment when the gap between what they build at work and what they are asked to do in an interview becomes painfully obvious. You can design microservices and debug production outages, but when someone asks you to find the number of islands in a binary grid, your mind goes blank. This experience is so common that the tech industry has developed an entire vocabulary
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Reliable Machine Learning

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by Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, Todd Underwood ...

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model ... Read more

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Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model
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A Série Universitária foi desenvolvida pelo Senac São Paulo com o intuito de preparar profissionais para o mercado de trabalho. Os títulos abrangem diversas áreas, abordando desde conhecimentos teóricos e práticos adequados às exigências profissionais até a formação ética e sólida.Privacidade e proteção de dados pessoais é um guia seguro para entender o mundo da proteção da privacidade e de dados ... Read more

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by Taís Colvero ...

Series series Série Universitária
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Beginner's Guide to Crafting Powerful Data

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Series Book 2 - Feature Engineering for Beginners
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