Machine Learning has become an entrenched part of everyday life. It is one of the most exciting fields of computing today. And Machine Learning practitioners are in high demand, with a shortfall of 250,000 data scientists forecast.
This course is designed for professionals who intend to transition to the role of a Data Scientist. This course is for you if you are Software developer or a Project manager or a Business analyst or a Data Scientist or a Data Engineer who wants to build a solid foundation in Machine Learning.
Previous batches have come from:
Master the models and methods of machine learning while acquiring the Python programming knowledge you need to find solutions to real-world data problems. At the end of the course, you will be able to:
Emeritus and Columbia Engineering Executive Education
Columbia Engineering Executive Education is collaborating with online education provider Emeritus to offer executive education courses.
An Emeritus Certificate course created in collaboration with Columbia Engineering Executive Education is based on syllabus approved by Columbia Engineering Executive Education, and contains video content created and recorded by Columbia Engineering Executive Education faculty, combined with assessments, assignments, projects, cases, and exercises delivered by Emeritus. Upon successful completion of the course, learners will be awarded a certificate jointly by Emeritus and Columbia Engineering Executive Education.
You can read more about the collaboration here.
Thank You for your interest in Applied Machine Learning We will be in touch with you shortly.
Take the first step to a Global Education
Flexible payment available
Special group enrollment pricing
You will detect potential frauds using credit card transaction data. You will apply the random forest method to identify fraudulent transactions.
You will write code to predict house prices based on several parameters available in the Ames City dataset compiled by Dean De Cock using least squares linear regression and Bayesian linear regression.
You will predict the human activity (walking, sitting, standing) that corresponds to the accelerometer and gyroscope measurements by applying the nearest neighbours technique.
You will create market segments using the US Census dataset and by applying the k-means clustering method.
You will build a movie recommendation engine by applying collaborative filtering and topic modelling techniques. You use a dataset which contains 20 million viewer ratings of 27,000 movies.
Columbia University Associate Professor, Electrical Engineering
Affiliated Member, Data Sciences Institute.
Emeritus follows a unique online model. This model has ensured that nearly 90 percent of our learners complete their course.
Orientation WeekThe first week is orientation week. During this week you will be introduced to the other participants in the class from across the world. You will also learn how to use the learning platform and other learning tools provided.
Weekly GoalsOn other weeks, you have learning goals set for the week. The goals would include watching the video lectures and completing the assignments. All assignments have weekly deadlines.
Recorded Video LecturesThe recorded video lectures are by faculty from the collaborating university.
Live WebinarsEvery few weeks, there are live webinars conducted by Emeritus course leaders. Course leaders are highly-experienced industry practitioners who contextualize the video lectures and assist with questions you may have regarding your assignments. Live webinars are usually conducted between 1 pm and 3 pm UTC on Tuesdays and Wednesdays.
Clarifying DoubtsIn addition to the live webinars, for some courses, the course leaders conduct Office Hours, which are webinar sessions that are open to all learners. During Office Hours, learners ask questions and course leaders respond. These are usually conducted every alternate week to help participants clarify their doubts pertaining to the content.
Follow-UpThe Emeritus Program Support team members will follow up and assist over email and via phone calls with learners who are unable to submit their assignments on time.
Continued Course AccessYou will continue to have access to the course videos and learning material for up to 12 months from the course start date.
Assignments are given out weekly and they are based on the lectures or tutorials provided. They need to be completed and submitted as per the deadline for grading purposes. Extensions may be provided based on a request sent to the support team.
It is an open forum where participants pin their opinions or thoughts regarding the topic under discussion.
Emeritus Program Support Team
If at any point in the course you need tech, content or academic support, you can email program support and you will typically receive a response within 24 working hours or less.
You can access Emeritus courses on tablets, phones and laptops. You will require a high-speed internet connection.
On completing the course you join a global community of 5000+ learners on the Emeritus Network. The Network allows you to connect with Emeritus past participants across the world.
We have listed two type of FAQs:
Minimum System Requirements
Pay in Full
Pay in 2 Installments
Pay in 3 Installments
Special pricing up to 20% discount is available if you enroll with your colleagues.