Home Page Icon
Home Page
Table of Contents for
End User License Agreement
Close
End User License Agreement
by Alex J. Gutman, Jordan Goldmeier
Becoming a Data Head
Cover
Title Page
Copyright
Dedication
About the Authors
About the Technical Editors
Acknowledgments
Foreword
NOTE
Introduction
THE DATA SCIENCE INDUSTRIAL COMPLEX
WHY WE CARE
DATA IN THE WORKPLACE
YOU CAN UNDERSTAND THE BIG PICTURE
WHO THIS BOOK IS WRITTEN FOR
WHY WE WROTE THIS BOOK
WHAT YOU'LL LEARN
HOW THIS BOOK IS ORGANIZED
ONE LAST THING BEFORE WE BEGIN
NOTES
PART I: Thinking Like a Data Head
CHAPTER 1: What Is the Problem?
QUESTIONS A DATA HEAD SHOULD ASK
UNDERSTANDING WHY DATA PROJECTS FAIL
WORKING ON PROBLEMS THAT MATTER
CHAPTER SUMMARY
NOTES
CHAPTER 2: What Is Data?
DATA VS. INFORMATION
DATA TYPES
HOW DATA IS COLLECTED AND STRUCTURED
BASIC SUMMARY STATISTICS
CHAPTER SUMMARY
NOTES
CHAPTER 3: Prepare to Think Statistically
ASK QUESTIONS
THERE IS VARIATION IN ALL THINGS
PROBABILITIES AND STATISTICS
CHAPTER SUMMARY
NOTES
PART II: Speaking Like a Data Head
CHAPTER 4: Argue with the Data
WHAT WOULD YOU DO?
TELL ME THE DATA ORIGIN STORY
IS THE DATA REPRESENTATIVE?
WHAT DATA AM I NOT SEEING?
ARGUE WITH DATA OF ALL SIZES
CHAPTER SUMMARY
NOTES
CHAPTER 5: Explore the Data
EXPLORATORY DATA ANALYSIS AND YOU
EMBRACING THE EXPLORATORY MINDSET
CAN THE DATA ANSWER THE QUESTION?
DID YOU DISCOVER ANY RELATIONSHIPS?
DID YOU FIND NEW OPPORTUNITIES IN THE DATA?
CHAPTER SUMMARY
NOTES
CHAPTER 6: Examine the Probabilities
TAKE A GUESS
THE RULES OF THE GAME
PROBABILITY THOUGHT EXERCISE
BE CAREFUL ASSUMING INDEPENDENCE
ALL PROBABILITIES ARE CONDITIONAL
ENSURE THE PROBABILITIES HAVE MEANING
CHAPTER SUMMARY
NOTES
CHAPTER 7: Challenge the Statistics
QUICK LESSONS ON INFERENCE
THE PROCESS OF STATISTICAL INFERENCE
THE QUESTIONS YOU SHOULD ASK TO CHALLENGE THE STATISTICS
CHAPTER SUMMARY
NOTES
PART III: Understanding the Data Scientist's Toolbox
CHAPTER 8: Search for Hidden Groups
UNSUPERVISED LEARNING
DIMENSIONALITY REDUCTION
PRINCIPAL COMPONENT ANALYSIS
CLUSTERING
K-MEANS CLUSTERING
CHAPTER SUMMARY
NOTES
CHAPTER 9: Understand the Regression Model
SUPERVISED LEARNING
LINEAR REGRESSION: WHAT IT DOES
LINEAR REGRESSION: WHAT IT GIVES YOU
LINEAR REGRESSION: WHAT CONFUSION IT CAUSES
OTHER REGRESSION MODELS
CHAPTER SUMMARY
NOTES
CHAPTER 10: Understand the Classification Model
INTRODUCTION TO CLASSIFICATION
LOGISTIC REGRESSION
DECISION TREES
ENSEMBLE METHODS
WATCH OUT FOR PITFALLS
MISUNDERSTANDING ACCURACY
CHAPTER SUMMARY
NOTES
CHAPTER 11: Understand Text Analytics
EXPECTATIONS OF TEXT ANALYTICS
HOW TEXT BECOMES NUMBERS
TOPIC MODELING
TEXT CLASSIFICATION
PRACTICAL CONSIDERATIONS WHEN WORKING WITH TEXT
CHAPTER SUMMARY
NOTES
CHAPTER 12: Conceptualize Deep Learning
NEURAL NETWORKS
APPLICATIONS OF DEEP LEARNING
DEEP LEARNING IN PRACTICE
ARTIFICIAL INTELLIGENCE AND YOU
CHAPTER SUMMARY
NOTES
PART IV: Ensuring Success
CHAPTER 13: Watch Out for Pitfalls
BIASES AND WEIRD PHENOMENA IN DATA
THE BIG LIST OF PITFALLS
CHAPTER SUMMARY
NOTES
CHAPTER 14: Know the People and Personalities
SEVEN SCENES OF COMMUNICATION BREAKDOWNS
DATA PERSONALITIES
CHAPTER SUMMARY
NOTES
CHAPTER 15: What's Next?
Index
End User License Agreement
Search in book...
Toggle Font Controls
Playlists
Add To
Create new playlist
Name your new playlist
Playlist description (optional)
Cancel
Create playlist
Sign In
Email address
Password
Forgot Password?
Create account
Login
or
Continue with Facebook
Continue with Google
Sign Up
Full Name
Email address
Confirm Email Address
Password
Login
Create account
or
Continue with Facebook
Continue with Google
Prev
Previous Chapter
Index
WILEY END USER LICENSE AGREEMENT
Go to
www.wiley.com/go/eula
to access Wiley’s ebook EULA.
Add Highlight
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click
here
login for view all page.
Day Mode
Cloud Mode
Night Mode
Reset