IBM Introduction to Machine Learning Specialization

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Course Features

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Duration

3 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

3 hours per week

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Teaching Type

Self Paced

Course Description

Modern job markets make machine learning skills even more valuable. Based on the astonishing 344% rise in job opportunities between 2015 and 2018, Machine Learning Engineer was America's top-ranked job. The average salary of $146,000.85 was also in evidence. This 4-course Specialization will equip you with the necessary skills to succeed in a highly-demanded career in machine learning and data science. This program will teach you how to use machine learning algorithms in different business contexts. Machine learning can be used for predicting future outcomes or explaining certain behaviors. You will also learn how to assess machine learning models and implement best practices. Your machine learning skills will allow you to apply them in your job search and workplace. You will also be able create a portfolio of projects that prove your proficiency. An IBM Badge and a Coursera Certificate will be awarded to you. This badge will allow you to share your accomplishments with your network and potential employers. You can use the program's knowledge to complete the remaining two courses in the six-course IBM Machine Learning Professional Certificate. This will enable you to start a new career as a machine-learning professional.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Communicate findings from your machine learning projects to experts and non-experts

Gain technical skills like SQL, machine learning modelling, supervised and unsupervised learning, regression, and classification

Identify opportunities to leverage machine learning in your organization or career

Understand the potential applications of machine learning

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