My name is Frank Kane. I spent nine years at ******， corn and imdb. corn， wrangling millionsof customer ratings and customer transactions to produce things such as personalizedrecommendations for movies and products and people who bought this also bought. I tellyou， I wish we had Apache Spark back then， when I spent years trying to solve theseproblems there. I hold 17 issued patents in the fields of distributed computing， data mining，and machine learning. In 2012， I left to start my own successful company， Sundog Software，which focuses on virtual reality environment technology， and teaching others about bigdata analysis.
圖書目錄
Preface Chapter 1：Getting Started Installing Enthought Canopy Giving the installation a test run If you occasionally get problems opening your IPNYB files Using and understanding IPython（Jupyter）Notebooks Python basics-Part 1 Understanding Python code Importing modules Data structures Experimenting with Iists Pre colon Post colon Negative syntax Adding list to list The append function Complex data structures Dereferencing a single element The sort function Reverse sort Tuples Dereferencing an element List of tuples Dictionaries lterating through entries Python basics-Part 2 Functions in Python Lambda functions-functional programming Understanding boolean expressions The if statement The if-else loop Looping The while loop Exploring activity Running Python scripts More options than just the lPython，Jupyter Notebook Running Python scripts in command prompt Using the Canopy I DE Summary Chapter 2：Statistics and Probability Refresher，and Python Practice Types of data NumericaI data Discrete data Continuous data Categorical data OrdinaI data Mean，median，and mode Mean Median The factor of outliers Mode Using mean，median，and mode in Python Calculating mean using the NumPy package Visualizing data using matplotlib Calculating median using the NumPy package Analyzing the effect of outliers Calculating mode using the SciPy package Some exercises Standard deviation and variance Variance Measuring variance Standard deviation Identifying outliers with standard deviation Population variance versus sample variance The Mathematical explanation Analyzing standard deviation and variance on a histogram Using Python to compute standard deviation and variance Try it yourself Probability density function and probability mass function The probability density function and probability mass functions Probability density functions Probability mass functions Types of data distributions Uniform distribution Normal or Gaussian distribution The exponential probability distribution or Power law Binomial probability mass function Poisson probability mass function …… Chapter 3：Matplotlib and Advanced Probability Concepts ChantAr 4：Predictive ModeIs Chapter 5：Machine Learning with Pvthon Chapter 6：Recommender Systems Chapter 7：More Data Mininq and Machine Learninq Techniaues ChaDter 8：Dealing with Real．World Data Chapter 9：Apache Spark-Machine Learning on Big Data Chapter 10：Testing and Experimental Design Index
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