Learning Microsoft Power BI:Transforming Data into Insights

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Bibliográfalaš dieđut
Váldodahkki:	Arnold,J
Materiálatiipa:	Girji
Giella:	eaŋgalasgiella
Almmustuhtton:	Mumbai SPD 2022
Fáttát:	CSEDS, ICT
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

Learning Microsoft Power BI : transforming data into insights
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Reinforcement Learning
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Learning Spark
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Deep Learning
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Machine Learning Design Patterns: Solution to Common Challenges in Data Preparation
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Deep Learning for Vision Systems
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Mastering Reinforcement Learning with Python
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Ethics and Data Science
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Principles of Data Wrangling
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Multivariate Data Analysis
Dahkki: Hair,Joseph F
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Essential Math for Data Science:Take Control Of Your Data
Dahkki: Nield, T
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Practical Statistics for Data Scientists
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Almmustuhtton: (2024)

Data Engineering with Apache Spark
Dahkki: Kukreja, Manoj
Almmustuhtton: (2021)

Big Data using Hadoop and Hive
Dahkki: Kumar, Nitin
Almmustuhtton: (2021)

Spatial Data Analysis:Theory and Practice
Dahkki: Haining, R
Almmustuhtton: (2003)

Statistical Mehods for Spatial Data Analysis
Dahkki: Schabenberger, Oliver
Almmustuhtton: (2005)

Foundation of Deep Reinforcement Learning: theory and Prac in Python
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Practical Time Series Analysis :Prediction with Statistics and Machine Learning
Dahkki: Nielsen, Aileen
Almmustuhtton: (2019)

Microsoft Power BI Quick Start Guide
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Almmustuhtton: (2022)

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Almmustuhtton: (2020)

Deep Learning
Dahkki: Patterson, J
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Deep Learning
Dahkki: Kelleher, J D
Almmustuhtton: (2019)

Privacy and Big Data
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Almmustuhtton: (2011)

Bad Data Handbook
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Machine Learning,3rd Ed
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Fundamentals of Data Engineering
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Almmustuhtton: (2022)

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Almmustuhtton: (2018)

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Deep Learning for Vision Systems
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