Applied Machine Learning

BY
Emeritus , Columbia University, New York

Register for the Applied Machine Learning programme to become proficient in programming with Python to implement Data Science and Machine Learning concepts.

Mode

Online

Duration

5 Months

Fees

$ 2277 2475

Quick Facts

particular details
Collaborators Emeritus
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Learning efforts 8-10 Hours Per Week

Course overview

The Applied Machine Learning online programme comprehensively touches upon the various aspects of the programming language Python, Data Analytics, and Machine Learning. This course not only provides you with theoretical knowledge, but also helps you acquire practical skills via 12 different application projects. 

In the Applied Machine Learning certificate course, you will have access to more than 240 video lectures, along with living online sessions. Moreover, the course is curated by Columbia University in collaboration with Emeritus. You will learn under the guidance of subject matter experts, as well as practitioners in the domain of Machine Learning. 

Besides, you will cover the syllabus for the Applied Machine Learning programme in two parts, each comprising 12 modules to facilitate comprehensive learning of the subject. You will have to dedicate at least 8-10 hours weekly, along with additional practice from your end, to make the most of this course. 

To assess your understanding of the lessons, you will also have a total of 45 quizzes and tests in the Applied Machine Learning online course.

The highlights

  • 5-months course
  • Certification available
  • Curated by Columbia University & Emeritus
  • 240+ videos
  • Live online sessions
  • 12 Application projects
  • 45 Quizzes and assignments
  • 18 Moderated discussion boards
  • 20+ QnA sessions
  • Comprehensive programme

Program offerings

  • Live online teaching
  • 240+ online lectures
  • 45 quizzes and assignments
  • 18 moderated discussion boards
  • 20+ q&a sessions
  • 12 application projects
  • Extensive programme
  • Skilled faculty

Course and certificate fees

Fees information
$ 2,277  $2,475
  • The course fee for the Applied Machine Learning program is stated below. 
  • The course offers flexible payment options and special group enrolment pricing that will reduce the price if the candidate joins the program with their colleagues.

Applied Machine Learning Fees Structure

Course 

Fee in USD

Applied Machine Learning course

US$ 2,277

certificate availability

Yes

certificate providing authority

Columbia University, New York

Who it is for

A specialised course in machine learning, the Applied Machine Learning online course will be valuable for the following individuals:

  • Machine Learning enthusiasts 
  • Data scientists
  • Statisticians
  • Mathematicians
  • Data engineers
  • Big Data Engineers
  • Software developers
  • Data Science enthusiasts
  • Anyone who wants to upskill.  

Eligibility criteria

To pursue the Applied Machine Learning online certification, you need to have an undergraduate-level knowledge of the following topics – Statistics, Calculus, Linear Algebra, and Probability. 

Further, you will be rewarded with the certification after you will successfully finish the Applied Machine Learning programme.

What you will learn

Knowledge of algorithms Machine learning Data science knowledge Knowledge of numpy

The Applied Machine Learning online course will help you learn the following:

  • How to outline a model for your data and make it learn.
  • Construct regression models to forecast an unknown output from a given set of inputs.
  • Curate classification models to sort datasets like email messages as spam or non-spam.
  • Develop unsupervised models like topic models or recommender systems to extract concealed patterns from an enormous amount of data
  • Find out hidden factors in data to increase the accuracy of your model's predictions.
  • Make probabilistic data models foretell an array of possible outcomes that account for real-world risks and uncertainties.

The syllabus

Part 1: Python for Data Analytics

Module 1: Introduction to Data Science
Module 2: Working with Data Types and Operators in Python
Module 3: Writing Functions in Python
Module 4: Popular Data Science Packages in Python
Module 5: Advanced Functions
Module 6: Data Manipulation and Analysis with Pandas
Module 7: Data Visualization with Matplotlib
Module 8: Random Variables and Statistical Inferences
Module 9: Statistical Distributions and Hypothesis Testing
Module 10: Data Cleaning
Module 11: Exploratory Data Analysis
Module 12: Getting Started with Linear Algebra for Machine Learning

Part 2: Applied Machine Learning - Supervised Learning

Module 1: Regression
Module 2: Ridge Regression
Module 3: Bayesian Methods
Module 4: Classification Algorithms
Module 5: Logistic Regression, Kernel Methods, and Gaussian Processes
Module 6: Support Vector Machines and Decision Trees
Module 7: Boosting and K-Means Clustering

Part 2: Applied Machine Learning - Unsupervised Learning

Module 8: Clustering Methods
Module 9: Recommendation Systems
Module 10: Principal Component Analysis and Markov Models
Module 11: Hidden Markov Models and Kalman Filtering
Module 12: Association Analysis and Model Selection

Admission details

Step 1: Find the necessary details for the Applied Machine Learning certification on the program URL.

Step 2: After reading the page, click on the 'Apply Now' button, which is given at the bottom of the web page.

Step 3: You will be directed to the registration page. Fill out your details and pay the required fee.

Step 4: After successful registration, you'll have to appear for a maths assessment test. The details of the test are provided on the course details page. You'll have two attempts to clear the test. If you pass the assessment, you'll get admission to the course. Otherwise, the fee you submitted will be refunded, and your enrolment will be canceled.


Filling the form

Signing up for the Applied Machine Learning online accreditation does not necessitate filling an application form. Signing up with Emeritus and paying the course fee will do the job.

How it helps

Columbia University’s Applied Machine Learning course is an all-inclusive course that makes you learn all about Data Analytics, Machine Learning, and Python. You should choose this course because it has various benefits. 

Due to the advancement in technology, the demand for candidates skilled in Data Science and Machine Learning is increasing. Also because Machine Learning is the basis for Artificial Intelligence which has often been cited as the future of technology. 

Thus, the Applied Machine Learning certification course will improve your problem-solving skills to solve various work-related issues. You will become capable of leading a machine learning project or implementing it in your software application. Moreover, the course is immensely useful for people who want to transition to a data scientist or a machine learning related role.

Instructors

Dr John W. Paisley
Assistant Professor
Columbia University,...

Ph.D

FAQs

Will we have any projects?

Yes. In the Applied Machine Learning course, you’ll be required to finish three projects that will be based on machine learning concepts that you would’ve learnt.

What is the duration of this accreditation?

The programme will run for five months straight.

Which university is offering this program?

Columbia Engineering Executive Education is collaborating with Emeritus to make this course available for you.

How many hours do I need to put in every week?

You will have to study for eight to ten hours every week to finish this course successfully. Additional practice from your side will prove beneficial for you in the long run as the course is practically based.

Why should I opt for this course?

Machine Learning and Artificial Intelligence are the future. No matter what your occupation is, after some years, you are going to see its integration with artificial intelligence. So, you should opt for this course to stay at the top of your game.

Articles

Popular Articles

Latest Articles

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Download the Careers360 App on your Android phone

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

Careers360 App
150M+ Students
30,000+ Colleges
500+ Exams
1500+ E-books