Machine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon

Introduction xxiiiPart 1 Fundamentals of Machine Learning 1Chapter 1 Introduction to Machine Learning 3Chapter 2 Data Collection and Preprocessing 27Chapter 3 Data Visualization with Python 51Chapter 4 Creating Machine Learning Models with Scikit-learn 79Chapter 5 Evaluating Machine Learning Models 115Part 2 Machine Learning with Amazon Web Services 133Chapter 6 Introduction to Amazon Web Services 135Chapter 7 AWS Global Infrastructure 151Chapter 8 Identity and Access Management 161Chapter 9 Amazon S3 181Chapter 10 Amazon Cognito 201Chapter 11 Amazon DynamoDB 221Chapter 12 AWS Lambda 237Chapter 13 Amazon Comprehend 257Chapter 14 Amazon Lex 275Chapter 15 Amazon Machine Learning 317Chapter 16 Amazon SageMaker 353Chapter 17 Using Google TensorFlow with Amazon SageMaker 387Chapter 18 Amazon Rekognition 421Appendix A Anaconda and Jupyter Notebook Setup 445Appendix B AWS Resources Needed to Use This Book 455Appendix C Installing and Configuring the AWS CLI 461Appendix D Introduction to NumPy and Pandas 467Index 485