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Introduction to Machine Learning – Cloud Institute

  • Learn this important subset of artificial intelligence (AI)
  • Free tutorial
  • Rating: 3.9 out of 53.9 (18 ratings)
  • 1,293 students
  • 1hr 50min of on-demand video
  • Created by Cloud Institute

English

What you’ll learn

  • Understand the formulation of well-specified machine learning problems.
  • Learn how to perform supervised and reinforcement learning, with images and temporal sequences.
  • Linear Regression
  • Gradient Descent
  • Genetic Algorithms

Requirements

  • Computer programming (python); Calculus; Linear Algebra

Description

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptron’s, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with Python, open-source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, Coca Cola, eBay, Snapchat, Uber, and many more).

Course Objectives:

  • Understand the formulation of well-specified machine learning problems.
  • Learn how to perform supervised and reinforcement learning, with images and temporal sequences.
  • Overview: AI and Machine Learning
  • Linear Regression
  • Gradient Descent
  • Genetic Algorithms
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About Cloud Institute:

Cloud Institute empowers teams with the cloud skills and knowledge needed to get the job done. Whether you need to hire, train, and deploy to build a work-ready talent pipeline, reskill and redeploy your workforce for hard-to-fill roles, continuously upskill your existing staff in cloud technologies, or immersive high-impact certification training specifically for your project and project success, Cloud Institute can help.

Who this course is for:

  • Anyone with an IT background looking for a foundational understanding of machine learning models (logistic regression, multilayer perceptron’s, convolutional neural networks, natural language processing, etc.) as well as how these models can solve complex problems in a variety of industries.

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Course content

5 sections β€’ 6 lectures β€’ 1h 50m total lengthCollapse all sections

Introduction1 lecture β€’ 7min

  • Introduction07:01

Overview: AI and Machine Learning1 lecture β€’ 57min

  • Overview: AI and Machine Learning57:00

Linear Regression and Loss Functions1 lecture β€’ 17min

  • Linear Regression and Loss Functions16:40

Gradient Descent1 lecture β€’ 17min

  • Gradient Descent17:03

Genetic Algorithms2 lectures β€’ 12min

  • Genetic Algorithms11:40
  • Thank You!00:47

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