Machine learning in Python: hands on machine learning with Python tools, concepts and techniques
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
[Erscheinungsort nicht ermittelbar]
Abiprod
[2018]
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | circa 126 Seiten Illustrationen |
| ISBN: | 9781922300034 |
Staff View
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Record in the Search Index
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|---|---|
| adam_text | Table of Contents Disclaimer What is Machine Learning? How Programming Normally Works How We Define Learning The Cleverness of Recursive Programming The Core of ML is Feature Detection The Development of “Neural Nodes Finally, what is Machine Learning? Why use Python? Python is Quick to Pick Up Python has a Massive Science and Community-Based Cultur Python’s Syntax Creates Faster Turnaround Times Python is the Development Language, C is the Production Language
Python is Web Compatible Regression Analysis using Python What is Regression Analysis? Why use Regression Analysis? There Are Two Primary Reasons: Reason 1 Correlation and Importance Reason 2: Supervised Learning Clustering Analysis using Python What is Clustering Analysis? How is Clustering Analysis different from previous Machine Learning algorithms? A Theoretical Analysis of Clustering Analysis Working Clustering Analysis in a Real-World Application with Results Implementing an Artificial Neural Network What are Artificial Neural Networks? What is Conceptual Analysis?
The Study of Biology The Study of Circuitry The Study of Psychology Backpropagation - Linchpin of The Neural Network Backpropagating - An Applicable Program How This Script and Others Like it Can be Useful A 90 Day Plan for Machine Learning with Python Concept Definition and Flow Charts Hidden Layer 1 Development Supervised Learning and Corrections Unsupervised Learning and Corrections Hidden Layer 2 Development Supervised Learning and Corrections Unsupervised Learning and Corrections Alpha Testing
Feedback Reception and Corrections Beta Testing Feedback Reception and Corrections Production Conclusion Understanding Machine Learning The Staggering Support of Python A Set Track to Set Your Neural Network into the Wild Concept Design Develop Test Closed Testing Beta Testing Production Expansion
Finally, We Come to A Close Machine Learning with Python is Not Easy Machine Learning with Python is Easy
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| adam_txt |
Table of Contents Disclaimer What is Machine Learning? How Programming Normally Works How We Define Learning The Cleverness of Recursive Programming The Core of ML is Feature Detection The Development of “Neural Nodes" Finally, what is Machine Learning? Why use Python? Python is Quick to Pick Up Python has a Massive Science and Community-Based Cultur Python’s Syntax Creates Faster Turnaround Times Python is the Development Language, C is the Production Language
Python is Web Compatible Regression Analysis using Python What is Regression Analysis? Why use Regression Analysis? There Are Two Primary Reasons: Reason 1 Correlation and Importance Reason 2: Supervised Learning Clustering Analysis using Python What is Clustering Analysis? How is Clustering Analysis different from previous Machine Learning algorithms? A Theoretical Analysis of Clustering Analysis Working Clustering Analysis in a Real-World Application with Results Implementing an Artificial Neural Network What are Artificial Neural Networks? What is Conceptual Analysis?
The Study of Biology The Study of Circuitry The Study of Psychology Backpropagation - Linchpin of The Neural Network Backpropagating - An Applicable Program How This Script and Others Like it Can be Useful A 90 Day Plan for Machine Learning with Python Concept Definition and Flow Charts Hidden Layer 1 Development Supervised Learning and Corrections Unsupervised Learning and Corrections Hidden Layer 2 Development Supervised Learning and Corrections Unsupervised Learning and Corrections Alpha Testing
Feedback Reception and Corrections Beta Testing Feedback Reception and Corrections Production Conclusion Understanding Machine Learning The Staggering Support of Python A Set Track to Set Your Neural Network into the Wild Concept Design Develop Test Closed Testing Beta Testing Production Expansion
Finally, We Come to A Close Machine Learning with Python is Not Easy Machine Learning with Python is Easy |
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| author | Mather, Bob |
| author_facet | Mather, Bob |
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| author_sort | Mather, Bob |
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| building | Verbundindex |
| bvnumber | BV046750825 |
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| ctrlnum | (OCoLC)1164609171 (DE-599)BVBBV046750825 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
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| id | DE-604.BV046750825 |
| illustrated | Illustrated |
| index_date | 2024-07-03T14:41:57Z |
| indexdate | 2024-07-10T08:52:48Z |
| institution | BVB |
| isbn | 9781922300034 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032160557 |
| oclc_num | 1164609171 |
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| owner | DE-355 DE-BY-UBR |
| owner_facet | DE-355 DE-BY-UBR |
| physical | circa 126 Seiten Illustrationen |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Abiprod |
| record_format | marc |
| spelling | Mather, Bob Verfasser aut Machine learning in Python hands on machine learning with Python tools, concepts and techniques Bob Mather [Erscheinungsort nicht ermittelbar] Abiprod [2018] circa 126 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032160557&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Mather, Bob Machine learning in Python hands on machine learning with Python tools, concepts and techniques Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4434275-5 |
| title | Machine learning in Python hands on machine learning with Python tools, concepts and techniques |
| title_auth | Machine learning in Python hands on machine learning with Python tools, concepts and techniques |
| title_exact_search | Machine learning in Python hands on machine learning with Python tools, concepts and techniques |
| title_exact_search_txtP | Machine learning in Python hands on machine learning with Python tools, concepts and techniques |
| title_full | Machine learning in Python hands on machine learning with Python tools, concepts and techniques Bob Mather |
| title_fullStr | Machine learning in Python hands on machine learning with Python tools, concepts and techniques Bob Mather |
| title_full_unstemmed | Machine learning in Python hands on machine learning with Python tools, concepts and techniques Bob Mather |
| title_short | Machine learning in Python |
| title_sort | machine learning in python hands on machine learning with python tools concepts and techniques |
| title_sub | hands on machine learning with Python tools, concepts and techniques |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| topic_facet | Maschinelles Lernen Python Programmiersprache |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032160557&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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