Data Science Solutions on Azure by Julian Soh - Bookswagon
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Data Science Solutions on Azure

Data Science Solutions on Azure


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About the Book

Part I - Introduction to Data Science and its rise to prominence

Chapter 1 Data Science in the modern enterprise

What is Data Science

The Data Scientists' tools and lingo

Ethics and ethical AI

Significance of Data Science in organizations

Case Studies of applied Data Science

Chapter 2 Most important Statistical Tehniques in Data Science

Top Statistical Tehniques Data Scientists need to know

Supervised Learning

Unsupervised Learning

Regression/Classification/ Forecasting

Bayesian method

Time series analysis

Linear regression

Sampling methods

Reinforcement Learning

Part 2 - Machine Learning in Microsoft Azure &n
About the Author: Julian Soh is a cloud solutions architect with Microsoft, focusing in the areas of artificial intelligence, cognitive services, and advanced analytics. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft Office 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations.
Priyanshi Singh is a data scientist by training and a data enthusiast by nature specializing in machine learning techniques applied to predictive analytics, computer vision and natural language processing. She holds a master's degree in Data Science from New York University and is currently a Cloud Solution Architect at Microsoft helping the public sector to transform citizen services with Artificial Intelligence. She also leads a meetup community based out of New York to help educate public sector employees via hands on labs and discussions. Apart from her passion for learning new technologies and innovating with AI, she is a sports enthusiast, a great badminton player and enjoys playing Billiards. Find her on LinkedIn at https: //www.linkedin.com/in/priyanshi-singh5/


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Product Details
  • ISBN-13: 9781484264041
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Height: 234 mm
  • No of Pages: 285
  • Spine Width: 16 mm
  • Weight: 508 gr
  • ISBN-10: 1484264045
  • Publisher Date: 01 Jan 2021
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Tools and Techniques Using Databricks and Mlops
  • Width: 156 mm


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