Lesson 2 of 8Article15 minFREE
Machine Learning vs Deep Learning
Machine Learning vs Deep Learning
Differences at a glance
- Machine Learning: broader set of algorithms, often with engineered features.
- Deep Learning: neural networks with many layers learning features automatically.
- Deep learning usually needs more data and compute, but performs strongly in unstructured domains.
Classic ML pipeline sketch
Train and evaluate a simple classifier
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
model = LogisticRegression(max_iter=1000)
model.fit(X_train, y_train)
pred = model.predict(X_test)
print("Accuracy:", accuracy_score(y_test, pred))