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IBM

IBM Machine Learning

IBM via Coursera Professional Certificate

Overview

Machine Learning is one of the most in-demand skills for jobs related to modern AI applications, a field in which hiring has grown 74% annually for the last four years (LinkedIn). This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Machine Learning and leverage the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. It also complements your learning with special topics, including Time Series Analysis and Survival Analysis. This program consists of 6 courses providing you with solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning . You will follow along and code your own projects using some of the most relevant open source frameworks and libraries. Although it is recommended that you have some background in Python programming, statistics, and linear algebra, this intermediate series is suitable for anyone who has some computer skills, interest in leveraging data, and a passion for self-learning. We start small, provide a solid theoretical background and code-along labs and demos, and build up to more complex topics. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Machine Learning.

Syllabus

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: Specialized Models: Time Series and Survival Analysis
- Offered by IBM. This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting ... Enroll for free.

Courses

Taught by

Mark J Grover and Miguel Maldonado

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