Hands-on machine learning with Microsoft Excel 2019 :: build complete data analysis flows, from data collection to visualization /
Machine learning has become a core necessity for every business and organization. With this book, you will learn to analyze your Excel data to search for patterns and return a series of interesting facts or trends about the data. You will learn to perform machine learning tasks using Excel plugins a...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham :
Packt Publishing,
2019.
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Machine learning has become a core necessity for every business and organization. With this book, you will learn to analyze your Excel data to search for patterns and return a series of interesting facts or trends about the data. You will learn to perform machine learning tasks using Excel plugins and APIs without much code required. |
Beschreibung: | 1 online resource (254 pages) |
ISBN: | 178934512X 9781789345124 |
Internformat
MARC
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245 | 1 | 0 | |a Hands-on machine learning with Microsoft Excel 2019 : |b build complete data analysis flows, from data collection to visualization / |c Julio Cesar Rodriguez Martino. |
264 | 1 | |a Birmingham : |b Packt Publishing, |c 2019. | |
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505 | 0 | |a Section 1: Machine Learning Basics -- Chapter 1: Implementing Machine Learning Algorithms -- Chapter 2: Hands-On Examples of Machine Learning Models -- Section 2: Data Collection and Preparation -- Chapter 3: Importing Data into Excel from Different Data Sources -- Chapter 4: Data Cleansing and Preliminary Data Analysis -- Chapter 5: Correlations and the Importance of Variables -- Section 3: Analytics and Machine Learning Models -- Chapter 6: Data Mining Models in Excel Hands-On Examples -- Chapter 7: Implementing Time Series -- Section 4: Data Visualization and Advanced Machine Learning -- Chapter 8: Visualizing Data in Diagrams, Histograms, and Maps -- Chapter 9: Artificial Neural Networks -- Chapter 10: Azure and Excel -- Machine Learning in the Cloud -- Chapter 11: The Future of Machine Learning | |
520 | |a Machine learning has become a core necessity for every business and organization. With this book, you will learn to analyze your Excel data to search for patterns and return a series of interesting facts or trends about the data. You will learn to perform machine learning tasks using Excel plugins and APIs without much code required. | ||
588 | 0 | |a Online resource; title from digital title page (viewed on February 28, 2020). | |
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650 | 2 | |a Machine Learning |0 https://id.nlm.nih.gov/mesh/D000069550 | |
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adam_text | |
any_adam_object | |
author | Martino, Julio Cesar Rodriguez |
author_facet | Martino, Julio Cesar Rodriguez |
author_role | aut |
author_sort | Martino, Julio Cesar Rodriguez |
author_variant | j c r m jcr jcrm |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
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callnumber-search | Q325.5 .M37 2019 |
callnumber-sort | Q 3325.5 M37 42019 |
callnumber-subject | Q - General Science |
collection | ZDB-4-EBA |
contents | Section 1: Machine Learning Basics -- Chapter 1: Implementing Machine Learning Algorithms -- Chapter 2: Hands-On Examples of Machine Learning Models -- Section 2: Data Collection and Preparation -- Chapter 3: Importing Data into Excel from Different Data Sources -- Chapter 4: Data Cleansing and Preliminary Data Analysis -- Chapter 5: Correlations and the Importance of Variables -- Section 3: Analytics and Machine Learning Models -- Chapter 6: Data Mining Models in Excel Hands-On Examples -- Chapter 7: Implementing Time Series -- Section 4: Data Visualization and Advanced Machine Learning -- Chapter 8: Visualizing Data in Diagrams, Histograms, and Maps -- Chapter 9: Artificial Neural Networks -- Chapter 10: Azure and Excel -- Machine Learning in the Cloud -- Chapter 11: The Future of Machine Learning |
ctrlnum | (OCoLC)1108734093 |
dewey-full | 006.31 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.31 |
dewey-search | 006.31 |
dewey-sort | 16.31 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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genre | Electronic book. |
genre_facet | Electronic book. |
id | ZDB-4-EBA-on1108734093 |
illustrated | Not Illustrated |
indexdate | 2024-11-27T13:29:32Z |
institution | BVB |
isbn | 178934512X 9781789345124 |
language | English |
oclc_num | 1108734093 |
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spelling | Martino, Julio Cesar Rodriguez, author. Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / Julio Cesar Rodriguez Martino. Birmingham : Packt Publishing, 2019. 1 online resource (254 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Section 1: Machine Learning Basics -- Chapter 1: Implementing Machine Learning Algorithms -- Chapter 2: Hands-On Examples of Machine Learning Models -- Section 2: Data Collection and Preparation -- Chapter 3: Importing Data into Excel from Different Data Sources -- Chapter 4: Data Cleansing and Preliminary Data Analysis -- Chapter 5: Correlations and the Importance of Variables -- Section 3: Analytics and Machine Learning Models -- Chapter 6: Data Mining Models in Excel Hands-On Examples -- Chapter 7: Implementing Time Series -- Section 4: Data Visualization and Advanced Machine Learning -- Chapter 8: Visualizing Data in Diagrams, Histograms, and Maps -- Chapter 9: Artificial Neural Networks -- Chapter 10: Azure and Excel -- Machine Learning in the Cloud -- Chapter 11: The Future of Machine Learning Machine learning has become a core necessity for every business and organization. With this book, you will learn to analyze your Excel data to search for patterns and return a series of interesting facts or trends about the data. You will learn to perform machine learning tasks using Excel plugins and APIs without much code required. Online resource; title from digital title page (viewed on February 28, 2020). Microsoft Excel (Computer file) http://id.loc.gov/authorities/names/n86025775 Microsoft Excel (Computer file) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Exploration de données (Informatique) Data mining fast Machine learning fast Electronic book. has work: Hands-on machine learning with Microsoft Excel 2019 (Text) https://id.oclc.org/worldcat/entity/E39PCFHRWrG6F7P9TQkmc8dXq3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Martino, Julio Cesar Rodriguez. Hands-On Machine Learning with Microsoft Excel 2019 : Build Complete Data Analysis Flows, from Data Collection to Visualization. Birmingham : Packt Publishing, Limited, ©2019 9781789345377 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2116420 Volltext |
spellingShingle | Martino, Julio Cesar Rodriguez Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / Section 1: Machine Learning Basics -- Chapter 1: Implementing Machine Learning Algorithms -- Chapter 2: Hands-On Examples of Machine Learning Models -- Section 2: Data Collection and Preparation -- Chapter 3: Importing Data into Excel from Different Data Sources -- Chapter 4: Data Cleansing and Preliminary Data Analysis -- Chapter 5: Correlations and the Importance of Variables -- Section 3: Analytics and Machine Learning Models -- Chapter 6: Data Mining Models in Excel Hands-On Examples -- Chapter 7: Implementing Time Series -- Section 4: Data Visualization and Advanced Machine Learning -- Chapter 8: Visualizing Data in Diagrams, Histograms, and Maps -- Chapter 9: Artificial Neural Networks -- Chapter 10: Azure and Excel -- Machine Learning in the Cloud -- Chapter 11: The Future of Machine Learning Microsoft Excel (Computer file) http://id.loc.gov/authorities/names/n86025775 Microsoft Excel (Computer file) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Exploration de données (Informatique) Data mining fast Machine learning fast |
subject_GND | http://id.loc.gov/authorities/names/n86025775 http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh97002073 https://id.nlm.nih.gov/mesh/D057225 https://id.nlm.nih.gov/mesh/D000069550 |
title | Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / |
title_auth | Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / |
title_exact_search | Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / |
title_full | Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / Julio Cesar Rodriguez Martino. |
title_fullStr | Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / Julio Cesar Rodriguez Martino. |
title_full_unstemmed | Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization / Julio Cesar Rodriguez Martino. |
title_short | Hands-on machine learning with Microsoft Excel 2019 : |
title_sort | hands on machine learning with microsoft excel 2019 build complete data analysis flows from data collection to visualization |
title_sub | build complete data analysis flows, from data collection to visualization / |
topic | Microsoft Excel (Computer file) http://id.loc.gov/authorities/names/n86025775 Microsoft Excel (Computer file) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Exploration de données (Informatique) Data mining fast Machine learning fast |
topic_facet | Microsoft Excel (Computer file) Machine learning. Data mining. Data Mining Machine Learning Apprentissage automatique. Exploration de données (Informatique) Data mining Machine learning Electronic book. |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2116420 |
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