Learn the dynamics of machine learning with the Introduction to Machine Learning Course by Udacity.
The Introduction to Machine Learning Course is a part of the Data Analyst Nanodegree. The candidate can opt for that course after the completion of this one. The Introduction to Machine Learning Course provided is of the intermediate level. It will teach the end-to-end procedure and functioning of investigating data with the help of the machine learning lens. The course curriculum is based on self-paced learning. The Introduction to Machine Learning Course syllabus contains ten modules in total. The candidate will be given an Introduction to Machine Learning Course at the end of the course completion. The entire course will be taught by the industrial experts, along with complete training for each concept.
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Education
The candidate needs to have basic knowledge about Python and Statistics for applying to the Introduction to Machine Learning course. If a candidate didn’t have the basic knowledge about these aspects, then they have to first complete the introductory course among Intro to Python Programming, Inferential Statistics, and Descriptive Statistics, and then they can apply in the course.
By the end of the Introduction to Machine Learning Course programme, the candidate will learn the following concepts -
Decide how to pick the right machine learning algorithm among K-Means, Adaboost, and decision trees
Follow the procedure to enroll in the Introduction to Machine Learning Course -
Step 1: For the detailed and complete course information, follow the below-mentioned link https://www.udacity.com/course/intro-to-machine-learning--ud120
Step 2: Select the “start free course” option.
Step 3: Sign in with any social account, such as Google or Facebook. If the applicant is not already registered, he or she should first sign up at Udacity.
Step 4: After logging in, the candidate's classroom will be updated with the course.
Step 5: The enrolling process is complete.
As such, there is no application procedure in regards to this programme. Candidates just join in with any social account, and the curriculum will be added to their classroom.
In terms of the Introduction to Machine Learning Course, Udacity offers a variety of scholarships. There are 10 scholarship options available to students in total. Before applying for any scholarship, the candidate should review the qualifying requirements. Candidates can check the page https://www.udacity.com/scholarships to see whether they meet the qualifying requirements for the scholarship.
During the course, the applicant will receive an Introduction to Machine Learning Course benefit as part of the curriculum, which industry professionals teach. The candidate will get career help and assistance during the course, and Udacity will keep them updated on available opportunities after the training is completed. Furthermore, the applicant will have Introduction to Machine Learning Course benefits to learn about the dynamics of the field, and they will study in line with that, making the candidate's job prospects brighter.
Mr Sebastian Thrun President Udacity
No, during this course, no career assistance is provided. When the candidate is promoted to the nano degree programme, they will get complete career assistance.
Yes, the candidate needs to have elementary knowledge about statistics and python for enrolling in the course.
The candidate must apply for the scholarship they wish to apply for, and Udacity will cross-check the individual's eligibility.
Brochure has been downloaded.
