To support our site, Class Central may be compensated by some course providers.

Taken this course? Share your experience with other students. Write review

Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions.

Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions.

This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.

This course is also a part of our Data Analyst Nanodegree.



Why Take This Course?

In this course, you’ll learn by doing! We’ll bring machine learning to life by showing you fascinating use cases and tackling interesting real-world problems like self-driving cars. For your final project you’ll mine the email inboxes and financial data of Enron to identify persons of interest in one of the greatest corporate fraud cases in American history.

When you finish this introductory course, you’ll be able to analyze data using machine learning techniques, and you’ll also be prepared to take our Data Analyst Nanodegree. We’ll get you started on your machine learning journey by teaching you how to use helpful tools, such as pre-written algorithms and libraries, to answer interesting questions.

Taught by

Sebastian Thrun

Related Courses

Reviews for Udacity's Intro to Machine Learning
4.1 Based on 18 reviews

  • 5 stars 39%
  • 4 stars 39%
  • 3 stars 17%
  • 2 star 0%
  • 1 star 6%

Did you take this course? Share your experience with other students.

Write a review
  • 1
Gregory S
4.0 3 years ago
by Gregory audited this course and found the course difficulty to be easy.
Udacity's Intro to Machine Learning is an introduction to data analysis using Python and the sklearn package. The course consists of 15 lessons covering a wide range of machine learning topics including classification algorithms (Naive Bayes, decision trees and SVMs), linear regression, clustering, selecting and transforming features and validation. As a self-paced course, you can take however long you wish on each lesson; some take less than an hour, while others can take several hours depending on how long you work on the mini projects. Intro to Machine Learning requires basic programming an…
9 people found
this review helpful
Was this review helpful to you? Yes
Anonymous
1.0 2 years ago
Anonymous partially completed this course.
I started this course after having taken the Coursera course of AndrewNg. My goal was to apply the algorithms in Python and to become familiar with Scikit learn. I have completed about 70% of Udacities intro to ML and I have to say I am very disappointed about the quality of the course, especially about the quality of the videos and the quizzes. The mathematical level is broken down to high school level, which is good for the intuitive understanding, but in my opinion the level is far too low to learn anything serious, especially when comparing with AndrewNgs course. The same applies for the …
Was this review helpful to you? Yes
Anonymous
3.0 a year ago
Anonymous partially completed this course.
The math is sloppy and confusing. It often seems like he can't quite decide what he's asking for the probability of. Even worse, the expressions will suddenly change between slides with no explanation of why. In an attempt to simplify the math, they just muddle it up.

I'm not sure who the intended audience is for this course. It's conceptually too slow for anyone with sufficient background to do the math. Yet the math is almost unrecognizable to anyone who already knows it

Unfortunately, this is a lot of like other Udacity courses, that try too hard to be fun, and fail to be sufficiently substantive.

On a positive note, the Python examples are good.
Was this review helpful to you? Yes
Anonymous
5.0 a year ago
Anonymous partially completed this course.
This is practical course, instructors are nice. If you like python you would love this course. Mathematics is not strong here but this an Intro to Machine learning and they are doing the best they can to expose us not only to machine learning algorithm but sci-kit learn api which keeps you hooked on this course. Once you get the idea of any algorithm you can go deeper into mathematical aspects of it. One of the issue I faced was the problem with quizzes few often they are a little opaque.
Was this review helpful to you? Yes
Anonymous
3.0 2 years ago
Anonymous completed this course.
I hated how the quiz questions weren't clearly written out (some missing information was said instead of shown visually). This stops you from skimming through the quizzes if you are already familiar with the concepts.
1 person found
this review helpful
Was this review helpful to you? Yes
Vinayak M
4.0 3 years ago
by Vinayak audited this course, spending 10 hours a week on it and found the course difficulty to be medium.
Nice for a beginner who just wants an intro to machine learning and not delve deeper into the implementation and mathematics behind the algorithms.
2 people found
this review helpful
Was this review helpful to you? Yes
Sergej N
4.0 a year ago
Sergej audited this course and found the course difficulty to be easy.
The course will teach you the very basics of sklearn but not much of machine learning. Some core concepts are explained in an easy way. The quizzes are however sometime next to idiotic. It would be better to drop half of them altogether.

I gave it 4 because I did not know neither python nor sklearn and it was useful for me. If you know python then go somewhere else.
Was this review helpful to you? Yes
Hristo V
5.0 a year ago
by Hristo completed this course.
Nice, intuitive introduction for a beginner. It is mostly practical, the math is very shallow so if you are interested in the math behind it, you won't be interested in the course.
Was this review helpful to you? Yes
Anonymous
5.0 5 months ago
Anonymous completed this course.
The best online course in introductory machine learning. The course is full of interesting quizzes. The instructor is very funny and interesting.
Was this review helpful to you? Yes
Moorsalin M
3.0 3 years ago
by Moorsalin is taking this course right now.
0 person found
this review helpful
Was this review helpful to you? Yes
Rafael P
4.0 3 years ago
Rafael completed this course.
0 person found
this review helpful
Was this review helpful to you? Yes
Pankaj K
5.0 2 years ago
by Pankaj partially completed this course.
Was this review helpful to you? Yes
Jörg J
4.0 a year ago
Jörg completed this course.
Was this review helpful to you? Yes
Liviu L
5.0 3 years ago
by Liviu audited this course.
Was this review helpful to you? Yes
Hank S
5.0 2 years ago
by Hank partially completed this course.
Was this review helpful to you? Yes
Atila R
5.0 a year ago
by Atila audited this course.
Was this review helpful to you? Yes
Eli C
4.0 3 years ago
Eli dropped this course.
Was this review helpful to you? Yes
Caio T
4.0 2 years ago
by Caio audited this course.
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.