Machine Learning for OpenCV > PACKT 원서리스트

1: A TASTE OF MACHINE LEARNING

2: WORKING WITH DATA IN OPENCV AND PYTHON

3: FIRST STEPS IN SUPERVISED LEARNING

4: REPRESENTING DATA AND ENGINEERING FEATURES

5: USING DECISION TREES TO MAKE A MEDICAL DIAGNOSIS

6: DETECTING PEDESTRIANS WITH SUPPORT VECTOR MACHINES

7: IMPLEMENTING A SPAM FILTER WITH BAYESIAN LEARNING

8: DISCOVERING HIDDEN STRUCTURES WITH UNSUPERVISED LEARNING

9: USING DEEP LEARNING TO CLASSIFY HANDWRITTEN DIGITS

10: COMBINING DIFFERENT ALGORITHMS INTO AN ENSEMBLE

11: SELECTING THE RIGHT MODEL WITH HYPERPARAMETER TUNING

12: WRAPPING UP