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Introduction to Machine Learning Udacity

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
2 days
Duration
2 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this course, you'll start learning what machine learning is by being introduced to the high level concepts through AWS SageMaker.  The Introduction to Machine Learning program is offered by Udacity.

Overview

You'll begin by using SageMaker Studio to perform exploratory data analysis. Know how and when to apply the basic concepts of machine learning to real world scenarios.  The Introduction to Machine Learning program is offered by Udacity.

Create machine learning workflows, starting with data cleaning and feature engineering, to evaluation and hyperparameter tuning. Finally, you'll build new ML workflows with highly sophisticated models such as XGBoost and AutoGluon.

Course Skills

  • Feature engineering
  • Machine learning fluency
  • AI business context
  • Machine learning use cases
  • Data loading with sagemaker
  • Amazon s3
  • Model training
  • Linear models
  • Xgboost
  • Autogluon
  • Pandas
  • Sagemaker studio notebooks
  • Model performance metrics
  • Hyperparameter tuning
  • Tree-based models
  • Sagemaker ground truth
  • Machine learning lifecycle
  • Dataset annotation
  • Sagemaker jumpstart
  • Machine learning dataset fundamentals
  • scikit-learn
  • Automated machine learning
  • Sagemaker data wrangler

Programme Structure

Courses include:

  • Exploratory Data Analysis
  • Machine Learning Concepts
  • Model Deployment Workflow
  • Algorithms and Tools
  • Predict Bike Sharing Demand with AutoGluon

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

  • Pandas
  • Basic probability
  • Intermediate Python
  • Jupyter notebooks
  • Basic Python
You will also need to be able to communicate fluently and professionally in written and spoken English.

Tuition Fees

Additional Details

  • This program can be paid for with the Udacity subscription.

Funding

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