Introduction to Machine Learning
viaUdacity•
4.6 Rating
Difficulty
Beginner
Cost
N/A
Format
Instructor Led
Delivery
Online
Time Commitment
1 weeks 1 hrs/week
Udacity’s Intro to Machine Learning Nanodegree is a self-paced, online program focused on foundational and advanced machine learning techniques. Students will explore supervised and unsupervised learning, delving into algorithms like linear regression, decision trees, and neural networks. The course emphasizes hands-on learning through Python libraries such as PyTorch and scikit-learn, equipping learners with the practical skills needed for real-world applications.
Designed for aspiring data scientists and analysts
Basic programming knowledge recommended
Ideal for those interested in AI and machine learning
Self-paced, online learning format
Hands-on projects using Python libraries
In-depth exploration of machine learning algorithms
Develop practical machine learning models
Gain skills in supervised and unsupervised learning
Enhance career prospects in data science
No certifications are covered by this course.
Student 2021
The program is going great, now that I have more time to spend on following it (thanks pandemics !). I would personally prefer if there were more statistics-loaded content in it, because I love grasping the fundamentals of the reasons why things wrk the way they do, but I understand that the main focus is on practice and I accept and respect that ! I'll take care of deepening my understanding down to the more foundational layer once I've got going smoothly with the hands-on applications.
Student 2020
It's for sure taught me a ton about the nature of supervised learning and all the things that go along with it. It's really cool to be able to understand all these things about machine learning that I never really knew before. I'll admit, when I started this program, I didn't really have a lot of motivation. I mean, I wanted to do it cause ML is kind of a big deal now, but I wasn't super motivated to get through the harder content. But now, just with the simpler explanations and easy going environment, I've for sure found motivation even just in that! And I can use this for what I'm doing at work, so that's a huge bonus.
Student 2016
This program contains a lot of information to make you started with machine learning, I have learnt a lot, as always udacity does a good job in guiding you through the program. Very happy with the results
Student 2016
Great experience with Udacity
Student 2020
I am currently enrolled in the Intro to machine learning course. The main reason I went with Udacity is because when I was reading the course syllabus I liked that the goal of the course was to teach the curriculum as well as create a job-ready portfolio of projects . I thought this was very valuable to take to an interview. You can find the course syllabus here
Currently we are learning how to use decision trees to predict states within the supervised learning module.
PROS:
Overall I am satisfied with the course, I feel that the price of the course was on par with the level of education I am currently receiving.
The classes are not boring, the instructors definitely know how to liven up what can sometimes be boring material.
CONS:
It's online so it is hard to stay focused sometimes
The main reason I went with Udacity is because when I was reading the course syllabus I liked that the goal of the course was to teach the curriculum as well as create a job-ready portfolio of projects . I thought this was very valuable to take to an interview. You can find the course syllabus for a course you are interested in here: https://bit.ly/2KtWQCN
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