Introduction to Python Programming And Data Structure By Liang

Time-tested features from previous editions -- including "Demonstrations" illustrating principles in action, "Methods" sections and "Developmental Dimension" segments -- have been updated and carried over into the 11th edition.The Exploration feature in MindTap -- the digital learning experience available with the text -- enables students to view experimental stimuli, perceptual demonstrations and short film clips about the research discussed in the text. These features have been thoroughly updated, and new items have been added to the labs carried over from the previous edition. Most of the items have been generously provided by researchers in vision, hearing and perceptual development.Reflecting the latest developments from the field, the 11th edition has been updated throughout with discussions of cutting-edge research. Especially noteworthy are a revised and more "student friendly" Chapter 1: Introduction to Perception and an expanded treatment of basic auditory mechanisms and musi

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●NEW SECTION HIGHLIGHTS LEGAL AND ETHICAL ISSUES IN THE USE OF DATA AND ANALYTICS. Chapter 1 includes a new section that addresses common legal and ethical issues related to the use of data and analytics. This new legal and ethical section discusses recent data privacy laws as well as ethical issues that both practitioners and consumers of analytics models should consider.●PRACTICAL, RELEVANT PROBLEMS HELP STUDENTS MASTER CONCEPTS AND HANDS-ON SKILLS. Applications drawn from all functional business areas, including finance, marketing and operations, provide important practice at a variety of levels of difficulty. Time-saving data sets are available for most exercises and cases.●REVISED DATA MINING CHAPTERS OFFER CLEARER PRESENTATION OF CONCEPTS. The authors have reorganized and updated this edition's data mining chapters to ensure students thoroughly understand the presentation. The descriptive data mining chapter (Ch. 5) now appears after the probability chapter so that the data minin

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Table of Contents: 1. Data and Distributions 2. Numerical Summary Measures 3. Bivariate and Multivariate Data 4. Obtaining Data 5. Probability and Sampling Distributions 6. Quality and Reliability 7. Estimation and Statistical Intervals 8. Testing Statistical Hypotheses 9. The Analysis of Variance 10. Experimental Design 11. Inferential Methods in Regression and Correlation

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Easy Listening is a comprehensive introduction to English listening skills designed to help students understand and respond in real-life situations. Using real spoken English and themes relevant to st

Easy Listening is a comprehensive introduction to English listening skills designed to help students understand and respond in real-life situations. Using real spoken English and themes relevant to st

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