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Education & E-Learning · head to head

MasterClass vs Apache Spark MLlib

MasterClass logo

MasterClass

Education & E-Learning

Learn from the world's best

From
On request
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning & Data Science

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Apache Spark MLlib has a free tier, so it costs nothing to try first.
  • Each has a real cost: MasterClass annual membership required with no option to purchase individual courses; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
  • They diverge on capability: MasterClass covers High-quality video, Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which MasterClass and Apache Spark MLlib actually diverge.

Attributes where MasterClass and Apache Spark MLlib differ
AttributeMasterClassApache Spark MLlib
Starting priceOn requestFree
Pricing modelsubscriptionopen-source
Free tierNoYes
PlatformsWeb, iOS, AndroidLinux, macOS, Windows
CategoryEducation & E-LearningMachine Learning & Data Science
Founded20151999

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in MasterClass

  • High-quality video
  • Workbooks
  • Community
  • Mobile apps
  • Offline viewing
  • Smart TV apps
  • Session stories
  • Smart TV platforms

Only in Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

What people use each for

The jobs each tool is most often brought in to do.

MasterClass

  • Learning from expertsnot Apache Spark MLlib
  • Inspirationnot Apache Spark MLlib
  • Skill developmentnot Apache Spark MLlib
  • Entertainmentnot Apache Spark MLlib

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot MasterClass
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot MasterClass
  • Clustering with K-means and Gaussian Mixture Modelsnot MasterClass

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

MasterClass

  • Annual membership required with no option to purchase individual courses
  • No instructor interaction or personalized feedback on student work
  • No hands-on exercises, assignments, or peer discussion with other students
  • Limited interactivity with focus on entertainment value over practical skill development
  • Difficult to cancel subscription according to customer reviews

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

Pricing, plan by plan

MasterClass

On request
  • Individual$10/month
    • All classes
    • One device
    • Mobile access
  • Duo$15/month
    • All classes
    • Two devices
    • Offline viewing
  • Family$20/month
    • All classes
    • Six devices
    • All features

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

Which should you pick?

Choose MasterClass if

  • You need high-quality video.
  • You work on Web, iOS, Android.
  • You also want workbooks.
MasterClass review

Choose Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.
Apache Spark MLlib review

Questions people ask

Is MasterClass or Apache Spark MLlib better?
Neither clearly leads. MasterClass starts at On request and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, MasterClass or Apache Spark MLlib?
Apache Spark MLlib has a free tier; the other does not. Paid plans start at On request for MasterClass and Free for Apache Spark MLlib.
Does MasterClass or Apache Spark MLlib run on more platforms?
MasterClass runs on Web, iOS, Android. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Apache Spark MLlib for free?
Yes. Apache Spark MLlib has a free tier, so you can try it without paying. MasterClass starts at On request.
What is MasterClass best used for?
MasterClass is most often used for learning from experts, inspiration, skill development, entertainment. Of those, learning from experts and inspiration are not what Apache Spark MLlib is typically brought in for.
What can MasterClass do that Apache Spark MLlib cannot?
MasterClass covers High-quality video, Workbooks, Community, Mobile apps. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

MasterClass: What is the pricing structure for MasterClass?

MasterClass requires an annual membership with no single-course purchase option. Standard plan costs $10/month, Plus is $15/month with offline access, and Premium is $20/month for up to 6 devices.

Source
MasterClass: How many courses are available on MasterClass?

MasterClass has over 200 video classes taught by celebrities and experts, with each course containing approximately 20 videos of about 10 minutes each plus detailed workbooks.

Source
MasterClass: Does MasterClass provide certificates or formal credentials?

No. MasterClass does not provide certificates upon completing a course, so it does not offer formal recognition for course completion.

Source
MasterClass: Do MasterClass courses include personalized feedback from instructors?

No. All MasterClass courses are pre-recorded videos, so there is no direct interaction with instructors or personalized feedback on student work.

Source
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