Description
IBM specialized course “Introduction to Machine Learning”. In today’s world, machine learning skills are becoming increasingly important for success in the job market. In 2019, machine learning engineering was named the No. 1 job in the US, based on a 344% increase in job openings from 2015 to 2018 and an average base salary of $146,085 (source: Indeed). This 4-part specialized course will help you gain the foundational skills you need to succeed in popular careers in machine learning and data science. After completing this course, you will be able to understand the potential of machine learning and artificial intelligence algorithms in various business scenarios. You’ll also learn when to use machine learning to explain certain behavior and when to predict future outcomes. In addition, you will learn to evaluate machine learning models and apply best practices. By the end of the course, you’ll have practical machine learning skills that you can apply in the workplace or job search, as well as a portfolio of projects to showcase your skills. In addition to receiving a certification from Coursera, you will also receive an IBM Badge of Merit 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 in the 6-part IBM Machine Learning Professional Certificate Series and chart a new career path in machine learning.
What you will learn:
- Understanding the Potential Applications of Machine Learning
- Gain technical skills such as SQL, machine learning modeling, supervised and unsupervised learning, regression and classification.
- Identify opportunities for using machine learning in your organization or profession.
- Discuss the results 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 machine learning skills for career advancement.
- Interested in understanding the application of machine learning in the real world.
Learn more about IBM’s Introduction to Machine Learning course
Course headings
IBM Introduction to Machine Learning course prerequisites
- Ideally, you will have some experience in mathematics, statistics, and computer programming, as most demos, labs, and projects use the Python programming language and concepts such as matrix factorization, convergence, or stochastic gradient descent. This specialization is designed specifically for scientists and programmers. developers and business analysts who want to improve their analytical skills in data science, artificial intelligence and machine learning, but is also suitable for anyone with a passion for data and basic math, statistics and programming skills.
course images
Example video course
installation instructions
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English subtitles
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size
2.0 GB