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Machine Learning and Predictive Analytics
Learn how to apply artificial intelligence to your data analysisPreview the first lesson free — get full access to all 5 lessons.
Intermediate Provider : Mary Margaret Chantré 5 Lessons · 9m in Arabic, German, English, Spanish, French, Portuguese, Chinese
Course Description
Machine learning is a powerful tool that is transforming a wide range of industries and has the potential to revolutionize the way we live and work. It’s an exciting field with various applications and opportunities for growth and development. But what exactly is machine learning? It’s defined as the branch of artificial intelligence (AI) and computer science which focuses on using data and algorithms to imitate how humans learn, gradually improving its accuracy. While machine learning and predictive analytics are separate disciplines, they can be particularly effective when used together.
Learn how to apply artificial intelligence to your data analysis with our Machine Learning and Predictive Analytics course. This course will help you understand machine learning and its interaction with predictive analytics. At the end of this course, you will know how to evaluate machine learning methods by identifying the ten most common algorithms and avoid common pitfalls by finding the right resources for your project.
What You'll Learn
- Identify the four basic models of machine learning
- Evaluate machine learning methods to choose the right approach
- Identify the ten most common machine learning algorithms
- Apply artificial intelligence to your data analysis
- Avoid common pitfalls by finding the right resources for your project
- Understand how machine learning interacts with predictive analytics
Key Takeaways
- Machine learning is a branch of artificial intelligence and computer science that uses data and algorithms to imitate how humans learn, gradually improving its accuracy.
- Machine learning and predictive analytics are separate disciplines but can be particularly effective when used together.
- Evaluating machine learning methods involves identifying the ten most common algorithms.
- Common pitfalls in machine learning can be avoided by finding the right resources for your project.
- Machine learning is transforming a wide range of industries and offers various applications and opportunities for growth.
Frequently Asked Questions
What will I learn in this course?
You will learn to identify the four basic models of machine learning, evaluate machine learning methods, identify the ten most common algorithms, and use artificial intelligence to your advantage. The course also helps you understand machine learning and its interaction with predictive analytics.
What is machine learning?
Machine learning is the branch of artificial intelligence (AI) and computer science that focuses on using data and algorithms to imitate how humans learn, gradually improving its accuracy.
How are machine learning and predictive analytics related in this course?
While machine learning and predictive analytics are separate disciplines, the course shows how they can be particularly effective when used together, helping you apply artificial intelligence to your data analysis.
What topics do the lessons cover?
The lessons cover an Introduction, What is Machine Learning?, Evaluating Machine Learning Methods, Avoiding Common Pitfalls in Machine Learning, and a Test Your Knowledge assessment.
What will I be able to do by the end of the course?
By the end, you will know how to evaluate machine learning methods by identifying the ten most common algorithms and avoid common pitfalls by finding the right resources for your project.
Professional Certifications and Continuing Education Units (CEUs)
Project Management Institute (PMI®)
Professional Development Units (PDUs): 0.25
KnowledgeCity has been reviewed and approved by the PMI® Authorized Training Partner Program. Users can maintain your PMI credentials by earning PDUs from KnowledgeCity qualified courses in Project Management, Business Management, Leadership and many others.
Society for Human Resource Management (SHRM®)
Professional Development Credits (PDCs): 0.25
KnowledgeCity is approved by SHRM as a Recertification General Provider to offer SHRM-CP or SHRM-SCP professional development credits (PDCs). By taking the courses approved by SHRM, KnowledgeCity can award SHRM Professional Development Credits (PDCs) for HR knowledge and competency programs related to the SHRM Body of Applied Skills and Knowledge™ (the SHRM BASK™).
