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IBM Machine Learning

IBM via Coursera Professional Certificate


Prepare for a career in the field of machine learning. In this program, you’ll learn in-demand skills like AI and Machine Learning to get job-ready in less than 3 months. Machine Learning is the use and development of computer systems that are able to learn and adapt by using algorithms and statistical models to analyze and draw inferences from patterns in data. Machine Learning is a branch of Artificial Intelligence (AI) where computers are taught to imitate human intelligence in that they solve complex tasks. Roles available to those proficient in Machine Learning include machine learning engineer, NLP scientist, and data engineer. This program consists of courses that provide you with a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning. Topics covered include Supervised and Unsupervised learning, Regression, Classification, Clustering, Deep learning and Reinforcement learning. You will follow along and code your own projects using some of the most relevant open-source frameworks and libraries, and you will apply what you have learned in various courses by completing a final capstone project. Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.


Course 1: Exploratory Data Analysis for Machine Learning
- Offered by IBM. This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of ... Enroll for free.

Course 2: Supervised Machine Learning: Regression
- Offered by IBM. This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You ... Enroll for free.

Course 3: Supervised Machine Learning: Classification
- Offered by IBM. This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You ... Enroll for free.

Course 4: Unsupervised Machine Learning
- Offered by IBM. This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find ... Enroll for free.

Course 5: Deep Learning and Reinforcement Learning
- Offered by IBM. This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement ... Enroll for free.

Course 6: Machine Learning Capstone
- Offered by IBM. This Machine Learning Capstone course uses various Python-based machine learning libraries, such as Pandas, sci-kit-learn, ... Enroll for free.


Taught by

Joseph Santarcangelo, Mark J Grover, Miguel Maldonado, Svitlana (Lana) Kramar and Yan Luo


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