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Machine Learning Tutorial

Supervised learning, classification, neural networks and core ML algorithms.

TensorFlow Overview

Google's open-source library for building and training machine learning models, especially deep neural networks, at production scale.

import tensorflow as tf

model = tf.keras.Sequential([
    tf.keras.layers.Dense(64, activation='relu'),
    tf.keras.layers.Dense(1)
])
model.compile(optimizer='adam', loss='mse')
model.fit(X_train, y_train, epochs=10)