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Data Mining notes (1st edition)
Ian H. Witten, Eibe Frank - ISBN: 9780128042915
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View all 3 notes for Data Mining, written by Ian H. Witten, Eibe Frank. All Data Mining notes, flashcards, summaries and study guides are written by your fellow students or tutors. Get yourself a Data Mining summary or other study material that matches your study style perfectly, and studying will be a breeze.
Best selling Data Mining notes
This summary consists of all the information and theory given in the lectures of the Data Mining course in 2020/2021. This theory forms an important basis for the Data Mining related implementations in Python and/or other programming software. Moreover, this summary includes some additional examples as well as a symbols and notation 'cheatsheet' to help you pass your Data Mining exam!
- Summary
- • 27 pages •
This summary consists of all the information and theory given in the lectures of the Data Mining course in 2020/2021. This theory forms an important basis for the Data Mining related implementations in Python and/or other programming software. Moreover, this summary includes some additional examples as well as a symbols and notation 'cheatsheet' to help you pass your Data Mining exam!
Duidelijke, stap-voor-stap omschrijving van de verschillende topics van de SDM course. van 2016-2017.
- Summary
- • 11 pages •
Duidelijke, stap-voor-stap omschrijving van de verschillende topics van de SDM course. van 2016-2017.
Vervolg op lecture literature samenvatting. In deze notities staat extra uitleg voor ieder onderwerp met illustraties en 'makkelijke taal'. Handig als je moeite hebt met de stof. van 2016-2017.
- Summary
- • 13 pages •
Vervolg op lecture literature samenvatting. In deze notities staat extra uitleg voor ieder onderwerp met illustraties en 'makkelijke taal'. Handig als je moeite hebt met de stof. van 2016-2017.
Do you have documents that match this book? Sell them and earn money with your knowledge!
Newest Data Mining summaries
This summary consists of all the information and theory given in the lectures of the Data Mining course in 2020/2021. This theory forms an important basis for the Data Mining related implementations in Python and/or other programming software. Moreover, this summary includes some additional examples as well as a symbols and notation 'cheatsheet' to help you pass your Data Mining exam!
- Summary
- • 27 pages •
This summary consists of all the information and theory given in the lectures of the Data Mining course in 2020/2021. This theory forms an important basis for the Data Mining related implementations in Python and/or other programming software. Moreover, this summary includes some additional examples as well as a symbols and notation 'cheatsheet' to help you pass your Data Mining exam!
Duidelijke, stap-voor-stap omschrijving van de verschillende topics van de SDM course. van 2016-2017.
- Summary
- • 11 pages •
Duidelijke, stap-voor-stap omschrijving van de verschillende topics van de SDM course. van 2016-2017.
Vervolg op lecture literature samenvatting. In deze notities staat extra uitleg voor ieder onderwerp met illustraties en 'makkelijke taal'. Handig als je moeite hebt met de stof. van 2016-2017.
- Summary
- • 13 pages •
Vervolg op lecture literature samenvatting. In deze notities staat extra uitleg voor ieder onderwerp met illustraties en 'makkelijke taal'. Handig als je moeite hebt met de stof. van 2016-2017.
Do you have documents that match this book? Sell them and earn money with your knowledge!
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