March 2022
Beginner to intermediate
796 pages
18h 14m
Korean
Content preview from 파이썬을 활용한 금융 분석(2판) : 파이썬의 기초부터 금융공학, 머신러닝, 퀀트 분석, 매매 시스템 구현까지
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546
3
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금융 데이터 과학
CPU times: user 29.8 s, sys: 7.51 s, total: 37.3 s
Wall time: 13.6 s
Out[65]: DNNClassifier(params={'head':
<tensorflow.contrib.learn.python.learn ... head._BinaryLogisticHead
object at 0x1a3ee692b0>, 'hidden_units': [250, 250, 250, 250, 250],
'feature_columns': (_RealValuedColumn(column_name='features',
dimension=1, default_value=None, dtype=tf.float32, normalizer=None),),
'optimizer': None, 'activation_fn': <function relu at 0x1a3aa75b70>,
'dropout': None, 'gradient_clip_norm': None,
'embedding_lr_multipliers': None, 'input_layer_min_slice_size': None})
In [66]: model.evaluate(input_fn=input_fn, steps=1)
➑
Out[66]: {'loss': 0.09271307, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.