Welcome to the AI and ML Foundations Courses
Start your Journey, take your next step, or become a better Data Scientist with H2O.ai Artificial Intelligence(AI) and Machine Learning(ML) Foundations free online course.
- TARGET AUDIENCE: Everyone
- LEARNING PATH LEVEL: Medium
- 2 Tasks
AI Foundations CourseContains 10 Product(s)
Artificial Intelligence is one of the biggest transformational business opportunities in modern time but many organizations are challenged to successfully adopt AI within and across the enterprise. AI is not magic or one-size-fits-all, but the use of AI can unlock tremendous value from data assets, derive real actionable outcomes, and drive business innovation through automation and personalization. Building a world-class, scalable analytic strategy requires recognition of several factors like identifying where your organization falls in the AI journey, addressing business constraints when it comes to time and talent, building trust in the use of AI within an organization, and for its customers. This series will walk you through the strategic aspects of determining what is needed to build effective predictive solutions using AI concepts at scale. The instructors in this series will review each stage in the AI transformation journey including deployment--providing learners with foundational knowledge, and new insights and perspectives. This course is intended for learners with both technical and non-technical backgrounds. Data science or software engineering experience is not required. Please note that there will be a required quiz at the end of each module.
Machine Learning Foundations CourseContains 12 Product(s)
Machine learning (ML) is one of the most active areas of artificial intelligence. Computers can learn new things without being programmed through the use of machine learning algorithms. The large amounts of data available can be understood through statistical methods to create new insights. These ML algorithms can help machines classify things we hear, images we see, videos consumed. Machine learning algorithms can also help discover new health remedies, can generate art or write songs, and can answer questions we ask. Over the course of the series, we will review the types of machine learning: supervised, unsupervised, reinforcement as well as how to boost predictions through ensembling or through the use of AutoML tools. We will also be hands-on with popular ML methods for different problem types and data on a massive scale.
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