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Assumptions about the reader's background
Book overview
Introduction to R/Python Programming
Calculator
Variable and Type
Functions
Control flows
Some built-in data structures
Revisit of variables
Object-oriented programming (OOP) in R/Python
Miscellaneous
More on R/Python Programming
Work with R/Python scripts
Debugging in R/Python
Benchmarking
Vectorization
Embarrassingly parallelism in R/Python
Evaluation strategy
Speed up with C/C++ in R/Python
A first impression of functional programming Miscellaneous
[...] and pandas
SQL
Get started with [...] and pandas
Indexing & selecting data
Add/Remove/Update
Group by
Join
Random Variables, Distributions & Linear Regression
A refresher on distributions
Inversion sampling & rejection sampling
Joint distribution & copula
Fit a distribution
Confidence interval
Hypothesis testing
Basics of linear regression
Ridge regression
Optimization in Practice
Convexity
Gradient descent
Root-finding
General purpose minimization tools in R/Python
Linear programming
Miscellaneous
Machine Learning - A gentle introduction
Supervised learning
Gradient boosting machine
Unsupervised learning
Reinforcement learning
Deep Q-Networks
Computational differentiation
Miscellaneous
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9780367897062 |
| ISBN-10: | 0367897067 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Zhang, Nailong |
| Hersteller: | CRC Press |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 254 x 178 x 14 mm |
| Von/Mit: | Nailong Zhang |
| Erscheinungsdatum: | 12.11.2020 |
| Gewicht: | 0,599 kg |
Assumptions about the reader's background
Book overview
Introduction to R/Python Programming
Calculator
Variable and Type
Functions
Control flows
Some built-in data structures
Revisit of variables
Object-oriented programming (OOP) in R/Python
Miscellaneous
More on R/Python Programming
Work with R/Python scripts
Debugging in R/Python
Benchmarking
Vectorization
Embarrassingly parallelism in R/Python
Evaluation strategy
Speed up with C/C++ in R/Python
A first impression of functional programming Miscellaneous
[...] and pandas
SQL
Get started with [...] and pandas
Indexing & selecting data
Add/Remove/Update
Group by
Join
Random Variables, Distributions & Linear Regression
A refresher on distributions
Inversion sampling & rejection sampling
Joint distribution & copula
Fit a distribution
Confidence interval
Hypothesis testing
Basics of linear regression
Ridge regression
Optimization in Practice
Convexity
Gradient descent
Root-finding
General purpose minimization tools in R/Python
Linear programming
Miscellaneous
Machine Learning - A gentle introduction
Supervised learning
Gradient boosting machine
Unsupervised learning
Reinforcement learning
Deep Q-Networks
Computational differentiation
Miscellaneous
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9780367897062 |
| ISBN-10: | 0367897067 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Zhang, Nailong |
| Hersteller: | CRC Press |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 254 x 178 x 14 mm |
| Von/Mit: | Nailong Zhang |
| Erscheinungsdatum: | 12.11.2020 |
| Gewicht: | 0,599 kg |
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