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portada Statistical Analysis With Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms
Type
Physical Book
Author
Publisher
Year
2021
Language
English
Pages
228
Format
Paperback
Dimensions
23.4x15.6x1.2 cm
Weight
0.33 kg.
ISBN13
9781484277645
Edition No.
1
Categories

Statistical Analysis With Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms

Jimmy Andersson (Author) · Apress · Paperback

Statistical Analysis With Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms - Andersson, Jimmy

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Synopsis "Statistical Analysis With Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms "

Chapter 1: Swift Primer- Introduction to Swift and its pros when working with large data sets- Provided data sets and how to load them using the Decodable protocol- Higher-Order Functions (map, filter, reduce, apply) Chapter 2: Introduction to Probability and Random Variables- What is a random variable?- Sample spaces- Laws and axioms of probability- Variable Independence- Conditional probability Chapter 3: Distributions and Random Numbers- Mass and density functions- Discrete distributions- Discrete uniform distribution- Bernoulli trials- Binomial distribution- Poisson distribution- Continuous distributions- Continuous uniform distribution- Exponential distribution- Normal distribution- Implement a random number generator that samples from a given distribution Chapter 4: Predicting House Sale Prices with Linear Regression- Central tendency measures- Variance measures- Association measures- Stratification of data- Linear regression Chapter 5: Hypothesis Testing- T Testing- Null and Alternative Hypotheses- P-value- Determining sample sizes Chapter 6: Data Compression Using Statistical Methods- Measurement scales- Calculate the distribution of example data- Compute a Huffman Tree- Encode the original data in a smaller package- &nb

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