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Samenvattingen An Introduction to Statistical Learning (1e druk)
Gareth James, Daniela Witten - ISBN: 9781461471370
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Bekijk alle 11 samenvattingen van An Introduction to Statistical Learning, geschreven door Gareth James, Daniela Witten. De samenvattingen van An Introduction to Statistical Learning op Stuvia zijn geschreven door studenten of docenten, waardoor je de inhoud van het studieboek makkelijker en sneller begrijpt. Door de samenvatting te vinden die perfect bij jouw leerstijl past, wordt studeren een stuk eenvoudiger.
Meest verkochte samenvattingen voor An Introduction to Statistical Learning
Summary for the midterm of the course 'Business Analytics'. Includes all the reading material for week 1, 2, and 3. Week 1 --> Read chapter 2.1-2.2. Week 2 --> Read chapter 10.1, 10.3 Week 3 --> Read chapter 3.1-3.3, 3.5 Also, check out my free summary of the knowledge clips from week 1 till week 3!
- Samenvatting
- • 22 pagina's •
Summary for the midterm of the course 'Business Analytics'. Includes all the reading material for week 1, 2, and 3. Week 1 --> Read chapter 2.1-2.2. Week 2 --> Read chapter 10.1, 10.3 Week 3 --> Read chapter 3.1-3.3, 3.5 Also, check out my free summary of the knowledge clips from week 1 till week 3!
This is a summary of the Data Analysis and Visualisation course taught at Utrecht University as part of the Applied Data Science (ADS) profile. Its contents are an extensive yet comprehensive summary of all chapters of the book Introduction to Statistical Learning (James et al.) and relevant papers. Topics touched upon are, among others, regression (linear and logistic), resampling, tree-based methods, classification, PCA, correspondence analysis, and cluster analysis.
- Samenvatting
- • 41 pagina's •
This is a summary of the Data Analysis and Visualisation course taught at Utrecht University as part of the Applied Data Science (ADS) profile. Its contents are an extensive yet comprehensive summary of all chapters of the book Introduction to Statistical Learning (James et al.) and relevant papers. Topics touched upon are, among others, regression (linear and logistic), resampling, tree-based methods, classification, PCA, correspondence analysis, and cluster analysis.
Part 2 of the summary for the course 'Business Analytics'. Includes all the reading material for week 5, 6, and 7. Week 5 --> Read chapter 4.1-4.3 Week 6 --> Read chapter 5.1-5.2 Week 7 --> Read chapter 8.1-8.2.2
- Samenvatting
- • 17 pagina's •
Part 2 of the summary for the course 'Business Analytics'. Includes all the reading material for week 5, 6, and 7. Week 5 --> Read chapter 4.1-4.3 Week 6 --> Read chapter 5.1-5.2 Week 7 --> Read chapter 8.1-8.2.2
Summary of Introduction to Statistical Learning. Includes graphs examples from the book. Chapter 2, 3, 4, 5, 7
- Samenvatting
- • 15 pagina's •
Summary of Introduction to Statistical Learning. Includes graphs examples from the book. Chapter 2, 3, 4, 5, 7
This extensive summary contains all the theory presented in the JBM050 Statistical Computing course given at the TU/e in cooperation with TiU in 2020/2021. It also includes examples and pseudocode to help you prepare well for the assignments and the exam!
- Samenvatting
- • 31 pagina's •
This extensive summary contains all the theory presented in the JBM050 Statistical Computing course given at the TU/e in cooperation with TiU in 2020/2021. It also includes examples and pseudocode to help you prepare well for the assignments and the exam!
Samenvatting of An Introduction to Statistical Learning - ISBN: 1370 Big Data Analysis (7204MM17XY), Hoofdstuk 2-10. Exclusief algorithmes, inclusief functiebeschrijvingen en visualisaties voor duidelijkheid.
- Samenvatting
- • 14 pagina's •
Samenvatting of An Introduction to Statistical Learning - ISBN: 1370 Big Data Analysis (7204MM17XY), Hoofdstuk 2-10. Exclusief algorithmes, inclusief functiebeschrijvingen en visualisaties voor duidelijkheid.
Summary of part of the lecture slides of the course Machine Learning using the book of G. James, D. Witten, T. Hastie and R. Tibshirani, called 'An Introduction to Statistical Learning - with Applications in R,'. This course is taught at the Erasmus University Rotterdam as part of the Master Econometrics and Management Science.
- Samenvatting
- • 24 pagina's •
Summary of part of the lecture slides of the course Machine Learning using the book of G. James, D. Witten, T. Hastie and R. Tibshirani, called 'An Introduction to Statistical Learning - with Applications in R,'. This course is taught at the Erasmus University Rotterdam as part of the Master Econometrics and Management Science.
This is a full word document answer sheet for the assignment IOP2601 ASSIGNMENT 2 which due in June 2020. The assignment is well and professionally done and ready to submit.
- Antwoorden
- • 7 pagina's •
This is a full word document answer sheet for the assignment IOP2601 ASSIGNMENT 2 which due in June 2020. The assignment is well and professionally done and ready to submit.
These are my notes of Linear regression which I prepared while learning data science and its various algorithms. They are very good and clear with all the basics. My juniors also referred the same botes and they are also learning data science now. They are well writen and well synthesized. You can also refer to them if you want to learn and understand linear regression algorithm in an easy and efficient manner.
- College aantekeningen
- • 5 pagina's •
These are my notes of Linear regression which I prepared while learning data science and its various algorithms. They are very good and clear with all the basics. My juniors also referred the same botes and they are also learning data science now. They are well writen and well synthesized. You can also refer to them if you want to learn and understand linear regression algorithm in an easy and efficient manner.
Essential notes by me from the course book
- College aantekeningen
- • 80 pagina's •
Essential notes by me from the course book
Heb jij documenten die matchen met dit boek? Verkoop het en verdien geld aan je kennis!
Nieuwste samenvattingen van An Introduction to Statistical Learning
Summary for the midterm of the course 'Business Analytics'. Includes all the reading material for week 1, 2, and 3. Week 1 --> Read chapter 2.1-2.2. Week 2 --> Read chapter 10.1, 10.3 Week 3 --> Read chapter 3.1-3.3, 3.5 Also, check out my free summary of the knowledge clips from week 1 till week 3!
- Samenvatting
- • 22 pagina's •
Summary for the midterm of the course 'Business Analytics'. Includes all the reading material for week 1, 2, and 3. Week 1 --> Read chapter 2.1-2.2. Week 2 --> Read chapter 10.1, 10.3 Week 3 --> Read chapter 3.1-3.3, 3.5 Also, check out my free summary of the knowledge clips from week 1 till week 3!
Part 2 of the summary for the course 'Business Analytics'. Includes all the reading material for week 5, 6, and 7. Week 5 --> Read chapter 4.1-4.3 Week 6 --> Read chapter 5.1-5.2 Week 7 --> Read chapter 8.1-8.2.2
- Samenvatting
- • 17 pagina's •
Part 2 of the summary for the course 'Business Analytics'. Includes all the reading material for week 5, 6, and 7. Week 5 --> Read chapter 4.1-4.3 Week 6 --> Read chapter 5.1-5.2 Week 7 --> Read chapter 8.1-8.2.2
Summary of Introduction to Statistical Learning. Includes graphs examples from the book. Chapter 2, 3, 4, 5, 7
- Samenvatting
- • 15 pagina's •
Summary of Introduction to Statistical Learning. Includes graphs examples from the book. Chapter 2, 3, 4, 5, 7
This extensive summary contains all the theory presented in the JBM050 Statistical Computing course given at the TU/e in cooperation with TiU in 2020/2021. It also includes examples and pseudocode to help you prepare well for the assignments and the exam!
- Samenvatting
- • 31 pagina's •
This extensive summary contains all the theory presented in the JBM050 Statistical Computing course given at the TU/e in cooperation with TiU in 2020/2021. It also includes examples and pseudocode to help you prepare well for the assignments and the exam!
Samenvatting of An Introduction to Statistical Learning - ISBN: 1370 Big Data Analysis (7204MM17XY), Hoofdstuk 2-10. Exclusief algorithmes, inclusief functiebeschrijvingen en visualisaties voor duidelijkheid.
- Samenvatting
- • 14 pagina's •
Samenvatting of An Introduction to Statistical Learning - ISBN: 1370 Big Data Analysis (7204MM17XY), Hoofdstuk 2-10. Exclusief algorithmes, inclusief functiebeschrijvingen en visualisaties voor duidelijkheid.
Summary of part of the lecture slides of the course Machine Learning using the book of G. James, D. Witten, T. Hastie and R. Tibshirani, called 'An Introduction to Statistical Learning - with Applications in R,'. This course is taught at the Erasmus University Rotterdam as part of the Master Econometrics and Management Science.
- Samenvatting
- • 24 pagina's •
Summary of part of the lecture slides of the course Machine Learning using the book of G. James, D. Witten, T. Hastie and R. Tibshirani, called 'An Introduction to Statistical Learning - with Applications in R,'. This course is taught at the Erasmus University Rotterdam as part of the Master Econometrics and Management Science.
This is a full word document answer sheet for the assignment IOP2601 ASSIGNMENT 2 which due in June 2020. The assignment is well and professionally done and ready to submit.
- Antwoorden
- • 7 pagina's •
This is a full word document answer sheet for the assignment IOP2601 ASSIGNMENT 2 which due in June 2020. The assignment is well and professionally done and ready to submit.
These are my notes of Linear regression which I prepared while learning data science and its various algorithms. They are very good and clear with all the basics. My juniors also referred the same botes and they are also learning data science now. They are well writen and well synthesized. You can also refer to them if you want to learn and understand linear regression algorithm in an easy and efficient manner.
- College aantekeningen
- • 5 pagina's •
These are my notes of Linear regression which I prepared while learning data science and its various algorithms. They are very good and clear with all the basics. My juniors also referred the same botes and they are also learning data science now. They are well writen and well synthesized. You can also refer to them if you want to learn and understand linear regression algorithm in an easy and efficient manner.
ISBN: 9781461471370 Big Data Analysis (7204MM17XY): H1 t/m 7
- Samenvatting
- • 7 pagina's •
ISBN: 9781461471370 Big Data Analysis (7204MM17XY): H1 t/m 7
Essential notes by me from the course book
- College aantekeningen
- • 80 pagina's •
Essential notes by me from the course book
Heb jij documenten die matchen met dit boek? Verkoop het en verdien geld aan je kennis!
Waarom studeren met boeksamenvattingen op Stuvia?
Relevantie, efficiëntie en gemak. Dat zijn belangrijke elementen tijdens het studeren of het voorbereiden voor een vak, examen of tentamen. Studeren met behulp van samenvattingen, die gekoppeld zijn aan het ISBN-nummer van jouw (studie)boek, is relevanter dan ooit. Jouw medestudenten of (bijles)docenten delen hun kennis om jou te helpen in de voorbereiding op jouw examens. Zoek het ISBN-nummer van je studieboek en je weet zeker dat je de juiste samenvatting koopt. Zo kom je niet voor verrassingen te staan tijdens je tentamens.
Alle samenvattingen op Stuvia zijn geschreven door studenten die het examen al hebben gemaakt, docenten die de stof doceren of professionele uitgevers. Hierdoor kun jij er op vertrouwen dat je de lesstof makkelijker begrijpt én dat de samenvatting alle elementen bevat die worden getoetst in het examen. Zoek het boek dat je moet bestuderen op via het ISBN-nummer en kies de beste samenvatting van het studieboek.