BOOKS - PROGRAMMING - Foundations of Statistics for Data Scientists With R and Python
Foundations of Statistics for Data Scientists With R and Python - Alan Agresti and Maria Kateri 2022 PDF CRC Press BOOKS PROGRAMMING
ECO~18 kg CO²

1 TON

Views
14947

Telegram
 
Foundations of Statistics for Data Scientists With R and Python
Author: Alan Agresti and Maria Kateri
Year: 2022
Pages: 486
Format: PDF
File size: 15,6 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Deep Learning for Data Analytics Foundations, Biomedical Applications, and Challenges
Fake Science Exposing the Left|s Skewed Statistics, Fuzzy Facts, and Dodgy Data
Java Foundations Introduction to Program Design and Data Structures 5th Edition
Machine Learning for Business How to Build Artificial Intelligence through Concepts of Statistics, Algorithms, Analysis, and Data Mining
Trends and Challenges in Categorical Data Analysis: Statistical Modelling and Interpretation (Statistics for Social and Behavioral Sciences)
Hierarchical Modeling and Analysis for Spatial Data (Chapman and Hall CRC Monographs on Statistics and Applied Probability)
Applied Univariate, Bivariate, and Multivariate Statistics Using Python A Beginner|s Guide to Advanced Data Analysis
Sparse Graphical Modeling for High Dimensional Data (Chapman and Hall CRC Monographs on Statistics and Applied Probability)
AOTrauma Statistics and Data Management by Stengel, Dirk, Bhandari, Mohit, Hanson, Beate. (Thieme,2009) [Paperback]
Data Management for Social Scientists: From Files to Databases (Methodological Tools in the Social Sciences)
Deciphering Data Architectures Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Deciphering Data Architectures Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Statistics Translated A Step-by-Step Guide to Analyzing and Interpreting Data, Second Edition
Essential Statistics Exploring the World through Data, Second Edition, Global Edition
Logic Reference Book for Computer Scientists The 2nd Revised, Modified, and Enlarged Edition of “Logics for Computer and Data Sciences, and Artificial Intelligence”
Logic Reference Book for Computer Scientists The 2nd Revised, Modified, and Enlarged Edition of “Logics for Computer and Data Sciences, and Artificial Intelligence”
Statistics for the Rest of Us: Mastering the Art of Understanding Data Without Math Skills (Advanced Thinking Skills Book 5)
Big Data for Twenty-First-Century Economic Statistics (Volume 79) (National Bureau of Economic Research Studies in Income and Wealth)
Statistics for Empowerment and Social Engagement: Teaching Civic Statistics to Develop Informed Citizens
Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, Volume I: Theory of Statistics
Modern Industrial Statistics With Applications in R, MINITAB, and JMP (Statistics in Practice), 3rd Edition
Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks
Core Statistics (Institute of Mathematical Statistics Textbooks) by Simon Wood (2-Apr-2015) Paperback
Bayesian Statistics the Fun Way Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks
Advanced Statistics with Applications in R (Wiley Series in Probability and Statistics)
Applied Statistics with Python Volume I Introductory Statistics and Regression
Discovering Statistics Using IBM SPSS Statistics, 4th Edition
Machine Learning Master Machine Learning Fundamentals for Beginners, Business Leaders and Aspiring Data Scientists
Statistics for People Who (Think They) Hate Statistics, 6th Edition
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources (English Edition)
The Data Revolution Big Data, Open Data, Data Infrastructures and Their Consequences
The Foundations of Frege|s Logic (Grundlagen der Kommunikation und Kognition Foundations of Communication and Cognition)
Data Modeling Made Simple with Embarcadero ER/Studio Data Architect Adapting to Agile Data Modeling in a Big Data World
Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
Reliability and Statistics in Transportation and Communication: Selected Papers from the 19th International Conference on Reliability and Statistics … (Lecture Notes in Networks and Systems, 117
Probability, Statistics and Maths for AI A comprehensive guide to understanding probability, statistics, and mathematics for AI
Intelligent Data Analysis From Data Gathering to Data Comprehension (The Wiley Series in Intelligent Signal and Data Processing)
Implementing Data Mesh Design, Build, and Implement Data Contracts, Data Products, and Data Mesh