Coursera – IBM Introduction to Machine Learning Specialization 2024-2

IBM Introduction to Machine Learning Specialization course. In today’s world, machine learning skills are becoming more essential for success in the job market. In 2019, machine learning engineering was named the #1 job in the U.S., based on a 344% growth in job openings from 2015 to 2018 and an average base salary of $146,085 (source: Indeed). This specialized 4-part course will help you gain the foundational skills to succeed in popular machine learning and data science careers. After completing this course, you will be able to understand the potential of machine learning algorithms and artificial intelligence in various business scenarios. You will also learn when to use machine learning to explain certain behaviors and when to predict future outcomes. In addition, you will learn how to evaluate machine learning models and apply best practices. By the end of the course, you’ll have practical machine learning skills to apply in the workplace or job search, as well as a portfolio of projects to demonstrate your skills. In addition to receiving a certificate from Coursera, you’ll also receive an IBM Badge of Honor so you can share your achievements with your network and potential employers. You can also use what you learn from this course to complete the remaining two courses of the 6-part IBM Machine Learning Professional Certificate series and chart a new career path in the field of machine learning.

What you will learn:

• Understanding the potential applications of machine learning
• Acquire technical skills such as SQL, machine learning modeling, supervised and unsupervised learning, regression and classification.
• Identify opportunities to use machine learning in your organization or profession
• Communicating the findings of machine learning projects with experts and non-experts

This course is suitable for people who:

• They are looking to enter the field of machine learning and data science.
• They want to improve their skills in machine learning for career advancement.
• Interested in understanding the applications of machine learning in the real world.

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