Online Training
Machine Learning, Deep Learning and Practical Applications of Data Science Course
200 hours
English
Educational institutions

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Online Training
200 hours
English
Educational institutions

Request information
Multilingual support
Digital certificate included
Assistant Phia
Implementation of supervised learning algorithms. Implementation of unsupervised learning algorithms. Implementation of supervised and unsupervised learning algorithms using machine learning and deep learning tools and libraries. Data analysis and modeling. Preparation of reports. Development of interactive panels. Through the practices of this course, the student will be able to implement machine learning and deep learning algorithms through data analysis, reporting and algorithm interrelation analysis, with a clear and intuitive understanding of each concept. Finally, the student must work with a real application and apply all the theoretical and practical knowledge acquired to solve a machine learning problem.
Graduates of the Lean Management course, with solid training in Lean fundamentals, leadership and techniques, are prepared to improve production and service systems. Suitable for managing teams and leading efficiency projects, they will find opportunities in manufacturing, logistics, consulting and more. Leverage the course's Lean application skills to excel at the forefront of modern operational management.
This course provides you with a solid foundation in Lean Management, focusing on essential principles and methodologies. You will delve into key concepts and components, learn about effective leadership styles, and understand team dynamics in Lean environments. By exploring fundamental techniques, you will be able to recognize how various industries benefit from the Lean approach. Gain knowledge to drive efficiency in different work environments.