Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of machine learning, principal component analysis, and recommendation systems. With self-directed learning, expert help, and project-based learning, the course is preparing the students to acquire the capability to work in the fields of data science, AI, and analytics.
This course is all about hands-on practice, and the application will be the main focus throughout:
Know the core principles of machine learning and prediction models.
Find out how to prepare and test algorithms and use cross-validation as a way to prevent overfitting.
Apply supervised and unsupervised machine learning techniques to actual data.
Create recommendation systems using effective data-driven methods.
Learn about regularization, principal component analysis (PCA), and various data preprocessing methods.
Develop a skill set that enables you to work with Python for data analysis and modeling activities, thereby gaining practical experience.
The self-paced online course is free to audit or $149 for a verified certificate, which can be easily affordable for everyone no matter where they live. Learner's choice of time and professional teaching give basic knowledge about machine learning and data science, which is perfect for babies and professionals who want to get into AI and analytics jobs.
No formal prerequisites; open to all
Some knowledge of statistics or Python coding is a plus
The Data Science: Building Machine Learning Models Program of Harvard University offers a mix of basic theory and the machine learning practical use. The participants are able to gain through actual projects experience such as creating recommendation systems, model training, and algorithm validation paving their way to the jobs in data science, analytics, and AI.
The course of Data Science: Building Machine Learning Models from Harvard University provides the learners with hands-on projects that are based on Python, along with applied techniques, such as PCA, cross-validation, and regularization. This self-paced program prepares the students with the skills that are required in the industry of machine learning, AI, and analytics, giving them the strong foundation of data science along with a verified Harvard certificate.