Solve Business Problems with AI and Machine Learning
- 0.0
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Approx. 11 hours to complete
Course Summary
This course teaches you how to solve problems using artificial intelligence and machine learning. You will learn how to identify problems that can be solved using these technologies, and how to design and implement solutions to these problems.Key Learning Points
- Learn how to identify problems that can be solved using AI and machine learning
- Understand the different types of machine learning and how to apply them
- Design and implement solutions to real-world problems using AI and machine learning
Related Topics for further study
- problem identification
- machine learning techniques
- real-world problem solving
- designing AI solutions
- implementing machine learning
Learning Outcomes
- Identify problems that can be solved using AI and machine learning
- Design and implement solutions to real-world problems using AI and machine learning
- Apply machine learning techniques to solve problems
Prerequisites or good to have knowledge before taking this course
- Basic programming knowledge
- Familiarity with basic statistics
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
- Programming assignments
Similar Courses
- Applied Machine Learning
- Machine Learning Fundamentals
- Applied Data Science with Python
Related Education Paths
Notable People in This Field
- Andrew Ng
- Fei-Fei Li
- Sebastian Thrun
Related Books
Description
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services.
Knowledge
- Identify appropriate applications of AI and machine learning within a given business situation.
- Formulate a machine learning approach to solve specific business problems.
- Select appropriate tools to solve given machine learning problems.
- Protect data privacy and promote ethical practices when developing and deploying AI and machine learning projects.
Outline
- Apply AI and ML to Business Problems
- Solve Business Problems with AI and Machine Learning Course Introduction
- CAIP Specialization Introduction
- Identify Data-Driven Emerging Technologies Module Introduction
- The Data Hierarchy
- Big Data
- Data Mining
- Applied AI and ML in Business
- Appropriate Business Problems
- Challenges of AI/ML
- Machine Learning Model
- Machine Learning Workflow
- Useful Skillsets
- Concept Drift and Transfer Learning
- Problem Formulation
- Differences Between Traditional Programming and Machine Learning
- Differences Between Supervised and Unsupervised Learning
- Randomness and Uncertainty
- Machine Learning Outcomes
- Overview
- Guidelines for Following the Machine Learning Workflow
- Guidelines for Formulating a Machine Learning Outcome
- Applying AI and ML to Business Problems
- Select Appropriate Tools
- Select Appropriate Tools Module Introduction
- New Tools and Technologies
- Hardware Requirements
- Cloud Platforms
- Overview
- Open Source AI Tools
- Proprietary AI Tools
- GPU Platforms
- Guidelines for Configuring a Machine Learning Toolset
- Machine Learning Tools
- Open Source and Proprietary AI Tools Quiz
- Selecting Appropriate Tools
- Promote Data Privacy and Ethical Practices
- Promote Data Privacy and Ethical Practices Module Introduction
- Data Protection
- Data Privacy Laws
- Privacy by Design
- Data Privacy Principles at Odds with Machine Learning
- Compliance with Data Privacy Laws and Standards
- Data Sharing and Privacy
- The Big Data Challenge
- Preconceived Notions
- The Black Box Challenge
- Bias, Prejudice, and Discrimination
- Ethics in NLP
- Use of Data for Unintended Purposes
- Intellectual Property
- Humanitarian Principles
- Asilomar AI Principles
- Overview
- Guidelines for Protecting Data Privacy
- Guidelines for Promoting Ethical Practices
- Privacy and Data Governance for AI and ML
- Guidelines for Establishing Policies Covering Data Privacy and Ethics
- Promoting Data Privacy and Ethical Practices
- Apply What You've Learned
Summary of User Reviews
Read reviews of the Solve Problems with AI and Machine Learning course on Coursera. Users have given positive feedback on the course content and structure, with a focus on hands-on learning. The overall rating is high, and many users found the course helpful in advancing their knowledge of AI and machine learning.Key Aspect Users Liked About This Course
Hands-on learningPros from User Reviews
- Course content is well-structured and easy to follow.
- Hands-on learning approach helps to reinforce key concepts.
- Instructors are knowledgeable and provide clear explanations.
- Course covers a wide range of topics in AI and machine learning.
- Assignments and quizzes are challenging but manageable.
Cons from User Reviews
- Course may be too basic for experienced professionals in the field.
- Some users found the course to be too theoretical with limited practical applications.
- Course may require a significant time commitment to complete.
- Some users experienced technical difficulties with the online platform.
- Course may not be suitable for those without a strong background in math and programming.
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