Machine Learning Questions

Question

1. How is NumPy used for Machine Learning? I thought it is just an array library.
2. Should I use ML5.js or TensorFlow.js?
3. Does anyone know a SIMPLE tutorial / introduction for Machine Learning? Every tutorial I've seen is difficult to understand

Answer 1

NumPy is a library, that includes arrays and math functions, similar to the math library.
One of the main advantage of NumPy is that it is much written in C, that can increase runtime speed of programs.

Answer 2

Try sentdex tutorial in youtube or machinelearningmastery.com is also good.
Peace ✌️ keep learning 😊😊

Answer 3

Is hard then software development

Answer 4

Complete the code to load the digits dataset, do a train test split, build a MLPClassifier on the training set and print the accuracy score on the test set.
X, y = load_digits(return_X_y=True)
X_train, X_test, y_train, y_test = train_test_split(X, y)
mlp = MLPClassifier().fit(X_train, y_train)
print(mlp.score(X_test, y_test))

Answer 5

?

Answer 6

https://www.youtube.com/watch?v=W8AeOXa_FqU&list=PL-Ogd76BhmcCO4VeOlIH93BMT5A_kKAXp

Answer 7

LOL, ML is hardly difficult. It’s high school level math...