Mathematics for ML & Data Science Specialization
Master the AI and machine learning toolkit. Mathematics for Machine Learning and Data Science is a Specialization that is accessible to beginners. In this program, you will acquire the basic mathematics tools of machine learning, including calculus, linear algebra, statistics, and probability.
Description for Mathematics for ML & Data Science Specialization
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by DeepLearning.AI
Duration: 3 months at 5 hours a week
Schedule: Flexible
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A brief synopsis of this course includes hands-on lab sessions on Python data analysis and visualization, as well as alternative data principles and applications in finance.
Leverage AI to create and optimize growth marketing strategies, enhance consumer engagement, and drive business expansion and sales.
The course covers the following topics: leveraging digital platform data for competitive advantage, generating personalized AI Relationship Moments, constructing networked business models, and enhancing customer engagement with data-driven AI.
Acquire practical full stack development skills, knowledge of Cloud Native tools, proficiency in front-end development languages, and build a GitHub portfolio through hands-on tasks and a capstone project.
The course's topics including the distinction between deep learning, machine learning, and artificial intelligence, the process of developing machine learning models, the difference between supervised and unsupervised learning, and the use of metrics for evaluating classification models.
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