This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.
After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.
WHAT YOU WILL LEARN
Coursera
Embark on a journey to understand the critical role that data plays in the success of your applied machine learning model. This course delves into the essential aspects of data collection, preparation, and analysis, providing you with the knowledge needed to build robust models.
Coursera
Embark on a journey to enhance your machine learning skills with 'Optimizing Machine Learning Performance'. This course is designed for those who have completed the Applied Machine Learning Specialization and are ready to tackle a complete project from start to finish. You'll delve into maintaining and operationalizing ML models, handling changing data, and identifying potential unintended effects.
Coursera
Dive into the world of Machine Learning Algorithms with our Supervised Learning Tip to Tail course. This engaging program covers essential techniques like Decision Trees, K-Nearest Neighbors, Support Vector Machines, and provides practical applications through real-world case studies. Whether you're a data scientist or business analyst, this course will equip you with the skills needed to tackle complex machine learning projects effectively.
Coursera
Embark on an introductory journey into the world of applied machine learning with this foundational course. Designed for beginners, this program will guide you through problem definition and data preparation in a practical machine learning project setting. Whether your interest lies in finance, medicine, engineering, or business analytics, this course is tailored to equip you with essential skills to tackle real-world challenges.