In this course, you will:
a) understand the basic concepts of machine learning.
b) understand a typical memory-based method, the K nearest neighbor method.
c) understand linear regression.
d) understand model analysis.
Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.Lee mas.
Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.
The techniques and tools covered in Machine Learning Basics are most similar to the requirements found in Científico de datos data science job advertisements.
