Deep Learning Prerequisites: The Numpy Stack in Python

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Deep Learning Prerequisites The Numpy Stack In Python

Deep Learning Prerequisites: The Numpy Stack in Python Free Download. The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

Deep Learning Prerequisites: The Numpy Stack in Python Description

Requirements

  • Understand linear algebra and the Gaussian distribution
  • Be comfortable with coding in Python
  • You should already know “why” things like a dot product, matrix inversion, and Gaussian probability distributions are useful and what they can be used for

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What you’ll learn

  • Understand supervised machine learning (classification and regression) with real-world examples using Scikit-Learn
  • Understand and code using the Numpy stack
  • Make use of Numpy, Scipy, Matplotlib, and Pandas to implement numerical algorithms
  • Understand the pros and cons of various machine learning models, including Deep Learning, Decision Trees, Random Forest, Linear Regression, Boosting, and More!

Who this course is for:

  • Students and professionals with little Numpy experience who plan to learn deep learning and machine learning later
  • Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code

Deep Learning Prerequisites: The Numpy Stack in Python Free Download

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Content From: https://www.udemy.com/course/deep-learning-prerequisites-the-numpy-stack-in-python/

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