Data Science for Business Leaders: ML Fundamentals

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Price: 199.99$

Machine learning is a capability that business leaders should grasp if they want to extract value from data.   There’s a lot of hype; but there’s some truth: the use of modern data science techniques could translate to a leap forward in progress or a significant competitive advantage.  Whether your are building or buying AI-powered solutions, you should consider how your organization could benefit from machine learning.  No coding or complex math. This is not a hands-on course. We set out to explain all of the fundamental concepts you’ll need in plain English. This course is broken into 5 key parts: Part 1: Models, Machine Learning, Deep Learning, & Artificial Intelligence Defined This part has a simple mission: to give you a solid understanding of what Machine Learning is.  Mastering the concepts and the terminology is your first step to leveraging them as a capability.  We walk through basic examples to solidify understanding. Part 2: Identifying Use Cases Tired of hearing about the same 5 uses for machine learning over and over?  Not sure if ML even applies to you?  Take some expert advice on how you can discover ML opportunities in *your* organization.  Part 3: Qualifying Use Cases Once you’ve identified a use for ML, you’ll need to measure and qualify that opportunity.  How do you analyze and quantify the advantage of an ML-driven solution?  You do not need to be a data scientist to benefit from this discussion on measurement.  Essential knowledge for business leaders who are responsible for optimizing a business process. Part 4: Building an ML Competency Key considerations and tips on building / buying ML and AI solutions. Part 5: Strategic Take-aways A view on how ML changes the landscape over the long term; and discussion of things you can do *now* to ensure your organization is ready to take advantage of machine learning in the future.