Coursera – IBM Introduction to Machine Learning Specialization

Coursera – IBM Introduction to Machine Learning Specialization
English | Tutorial | Size: 2.06 GB


Learn machine learning through real use cases. Build the skills for a career in one of the most relevant fields of modern AI through hands-on projects and curriculum from IBM’s experts.

What you’ll Learn:
• Understand the potential applications of machine learning
• 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
• Communicate findings from your machine learning projects to experts and non-experts

Skills you’ll Gain:
• Unsupervised Learning
• Machine Learning
• Machine Learning Regression
• Machine Learning Classification
• Exploratory Data Analysis

Specialization – 4 Course Series:
Machine learning skills are becoming more and more essential in the modern job market. In 2019, Machine Learning Engineer was ranked as the #1 job in the United States, based on the incredible 344% growth of job openings in the field between 2015 to 2018, and the role’s average base salary of $146,085

This four-course Specialization will help you gain the introductory skills to succeed in an in-demand career in machine learning and data science. After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices.

By the end of this program, you will have developed concrete machine learning skills to apply in your workplace or career search, as well as a portfolio of projects demonstrating your proficiency.

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