Large Scale Machine Learning with Spark > PACKT 원서리스트

1: INTRODUCTION TO DATA ANALYTICS WITH SPARK

2: MACHINE LEARNING BEST PRACTICES

3: UNDERSTANDING THE PROBLEM BY UNDERSTANDING THE DATA

4: EXTRACTING KNOWLEDGE THROUGH FEATURE ENGINEERING

5: SUPERVISED AND UNSUPERVISED LEARNING BY EXAMPLES

6: BUILDING SCALABLE MACHINE LEARNING PIPELINES

7: TUNING MACHINE LEARNING MODELS

8: ADAPTING YOUR MACHINE LEARNING MODELS

9: ADVANCED MACHINE LEARNING WITH STREAMING AND GRAPH DATA

10: CONFIGURING AND WORKING WITH EXTERNAL LIBRARIES