Instant download Data Science Handbook The Field Nicholas Cady pdf, docx, kindle format all chapters after payment. 1119092949, 9781119092940
Product details:
ISBN 10: 1119092949
ISBN 13: 9781119092940
Author: Field Cady
As a resource on data analysis methodology and big data software tools, specifically written for software data science professionals who need to better understand the analytics and mathematics of the discipline as well as researchers who need to learn real-world coding and expand their skill set, i.e. data analysts, statisticians, software developers, software engineers, BI analysts/developer, junior data scientists, managers of data science, and technical executives interested in understanding more of the nuances of the field; as a reference for new graduates seeking entry-level data science positions; as a classroom supplement for advanced undergraduates and entry-level graduate students; and academic and corporate libraries.
Table of contents:
CHAPTER 1: Introduction: Becoming a Unicorn
CHAPTER 2: The Data Science Road Map
CHAPTER 3: Programming Languages
CHAPTER 4: Data Munging: String Manipulation, Regular Expressions, and Data Cleaning
CHAPTER 5: Visualizations and Simple Metrics
CHAPTER 6: Machine Learning Overview
CHAPTER 7: Interlude: Feature Extraction Ideas
CHAPTER 8: Machine Learning Classification
CHAPTER 9: Technical Communication and Documentation
CHAPTER 10: Unsupervised Learning: Clustering and Dimensionality Reduction
CHAPTER 11: Regression
CHAPTER 12: Data Encodings and File Formats
CHAPTER 13: Big Data
CHAPTER 14: Databases
CHAPTER 15: Software Engineering Best Practices
CHAPTER 16: Natural Language Processing
CHAPTER 17: Time Series Analysis
CHAPTER 18: Probability
CHAPTER 19: Statistics
CHAPTER 20: Programming Language Concepts
CHAPTER 21: Performance and Computer Memory
CHAPTER 22: Computer Memory and Data Structures
CHAPTER 23: Maximum Likelihood Estimation and Optimization
CHAPTER 24: Advanced Classifiers
CHAPTER 25: Stochastic Modeling
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