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Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

Udemy
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Deal Score+6

Udemy – Deep Learning Prerequisites: The Numpy Stack in Python (V2+) Course. The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

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Deep Learning Prerequisites: The Numpy Stack in Python Course

Description

Welcome! This is Deep Learning, Machine Learning, and Data Science Prerequisites: The Numpy Stack in Python. One question or concern I get a lot is that people want to learn deep learning and data science, so they take these courses, but they get left behind because they don’t know enough about the Numpy stack in order to turn those concepts into code. Even if I write the code in full, if you don’t know Numpy, then it’s still very hard to read. This Deep Learning Prerequisites: The Numpy Stack in Python (V2+) course is designed to remove that obstacle – to show you how to do things in the Numpy stack that are frequently needed in deep learning and data science.

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The Numpy Stack in Python (V2+) Online Courses

What things to 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!
  • Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion
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Who this course is for:

This training suits people who :
  • 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
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Specifications Deep Learning Prerequisites: The Numpy Stack in Python (V2+) :

Course Information
  • Publisher : Udemy
  • Instructor : Lazy Programmer Inc
  • Language : English
  • Level of training : from beginners to advanced
  • Duration Time : 6 hours and 8 minutes
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Courses Reviews: Deep Learning Prerequisites

Find helpful customer reviews and review ratings for Deep Learning Prerequisites: The Numpy Stack in Python (V2+)
9.6Expert Score
Awesome

Thank you. This was a great overview of the prerequisites for further studies to AI. Section 10 mapping out the various learning pathways are essential material for anyone new to machine learning and AI in general.

Positive
  • really good one, the instructor explains lot of math, which is hard is find these days.
  • This is precisely the type of knowledge that is necessary and vital to start in the world of Machine Learning, and the teacher's methodology motivates students to investigate more about the subjects covered, which is essential in this field. 100% recommended.
  • I like the way Lazy Programmer progresses through the topics, making sure that he explains the intricacies involved. He starts the coding using naive methods and gradually progresses through to more advanced tools ensuring that you understand why it's better.
Negatives
  • sometimes a little superficial
  • A step for more advanced courses.
Josh Smith
Josh Smith

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