How to Think About Machine Learning Algorithms

Provided by:
0/10 stars
based on  0 reviews
Provided by:
Cost $29/mo
Start Date On demand
How to Think About Machine Learning Algorithms

Course Details

Cost

$29/mo

Get access to the entire library of over 5000 courses on software engineering, technology and more. Different billing options are available.

Start Free Trial

Upcoming Schedule

  • On demand

Course Provider

Pluralsight online courses
Pluralsight's mission is to publish high quality online training courses for professional developers, IT admins and creative artists. Over 750,000 Learners have already made use of the 3,500+ Courses available in this extensive library. Pluralsight delivers world-class training that¹s easy to comprehend and quick to learn. That¹s the beauty of being taught by experts. Course authors are an elite group of tech and creative professionals, innovators and leaders. As a subscriber, you are ...
Pluralsight's mission is to publish high quality online training courses for professional developers, IT admins and creative artists. Over 750,000 Learners have already made use of the 3,500+ Courses available in this extensive library. Pluralsight delivers world-class training that¹s easy to comprehend and quick to learn. That¹s the beauty of being taught by experts. Course authors are an elite group of tech and creative professionals, innovators and leaders. As a subscriber, you are connected with authors through discussion boards for ongoing, real-time learning. Courses give you the experience and skills you need to succeed on the job and grow your career. With downloadable exercise files, you can follow along with the video to practice applying your new skills. Pre- and post-course assessments track your progress. When you successfully complete a course, we you receive a certificate and an official transcript to validate and build your online resume.

Provider Subject Specialization
Sciences & Technology
Business & Management
7 reviews

Course Description

Machine learning is behind some of the coolest technological innovations today, Contrary to popular perception, however, you don't need to be a math genius to successfully apply machine learning. As a data scientist facing any real-world problem, you first need to identify whether machine learning can provide an appropriate solution. In this course, How to Think About Machine Learning Algorithms, you'll learn how to identify those situations. First, you will learn how to determine which of the four basic approaches you'll take to solve the problem: classification, regression, clustering or recommendation. Next, you'll learn how to set up the problem statement, features, and labels. Finally you'll plug in a standard algorithm to solve the problem. At the end of this course, you'll have the skills and knowledge required to recognize an opportunity for a machine learning application and seize it.
Reviews 0/10 stars
0 Reviews for How to Think About Machine Learning Algorithms

Ratings details

  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars

Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

No reviews yet. Be the first!

Rating Details


  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars

Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.