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Asked by Ankit Last Modified
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BEPEC
The general impression is that there is a heavy maths and statistics in data science. That is not true. The secret is that on application side the maths and statistics are minimal. Don't believe me.
Look at the following code for digit classification. There is zero maths.
from keras import models
from keras import layers
network = models.Sequential()
network.add(layers.Dense(16, activation=’relu’, input_shape=(28 * 28,)))
network.add(layers.Dense(16, activation=’relu’))
network.add(layers.Dense(10, activation=’softmax’))
network.compile(optimizer=’rmsprop’,loss=’categorical_crossentropy’, metrics=[‘accuracy’])
This is an example of deep learning code in Keras. All the maths is being taken care by Keras API. The point is that one needs maths to get a intuition of what is happening inside the algorithm but one would not need to code the mathematical parts. To draw parallels one uses indexes in database but one does not code the index logic.
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I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for training. Pease lemme know how i can prepare myself.
Is that possible to do machine learning and Data science course after B.com, MBA Finance and marketing students and how is career growth?
Is that possible to do machine learning course after b.com,mba Finance and marketing?
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