Machine Learning is one of the most in-demand skills for jobs related to modern AI applications, a field in which hiring has grown 74% annually for the last four years (LinkedIn). This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Machine Learning and leverage the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. It also complements your learning with special topics, including Time Series Analysis and Survival Analysis.
This program consists of 6 courses providing you with solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning . You will follow along and code your own projects using some of the most relevant open source frameworks and libraries.
Although it is recommended that you have some background in Python programming, statistics, and linear algebra, this intermediate series is suitable for anyone who has some computer skills, interest in leveraging data, and a passion for self-learning. We start small, provide a solid theoretical background and code-along labs and demos, and build up to more complex topics.
In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Machine Learning.
Coursera
Dive into the world of cutting-edge Machine Learning disciplines with our 'Deep Learning and Reinforcement Learning' course. Learn about Neural Networks, modern Deep Learning architectures, and apply these concepts to Supervised and Unsupervised Learning scenarios. This course is ideal for those looking to advance their skills in AI and machine learning.
Coursera
Dive into the world of specialized machine learning models with 'Specialized Models: Time Series and Survival Analysis'. This comprehensive online course will equip you with essential skills in forecasting and analyzing complex datasets that involve time components or censored data. Perfect for professionals looking to advance their predictive modeling expertise.
Coursera
Dive into the world of Supervised Machine Learning with our 'Supervised Learning: Classification' course. This hands-on program will teach you how to create powerful predictive models capable of categorizing data accurately. You'll learn about train and test splits, error metrics, and strategies for dealing with unbalanced classes.
Coursera
Embark on a journey into the world of Machine Learning with this foundational course designed to equip you with essential skills in data preparation and exploration. From data retrieval to cleaning and feature engineering, this course lays down the groundwork necessary for preliminary analysis and hypothesis testing, setting the stage for advanced machine learning applications.
Coursera
Dive into the world of Supervised Learning with our Regression course on Coursera. Master the art of predicting continuous outcomes by training effective models and using precise error metrics. Gain insights into best practices like splitting datasets for testing and applying regularization to enhance model performance.
Coursera
Dive into the world of Unsupervised Learning with this engaging online course. Gain expertise in extracting valuable insights from data sets without labeled variables, mastering essential clustering and dimension reduction algorithms along the way. Perfect for data enthusiasts and professionals aiming to unlock hidden patterns within their data.
Coursera
Embark on a journey into advanced machine learning techniques with our Machine Learning Capstone course. This hands-on program will guide you through building sophisticated recommendation systems using cutting-edge Python tools such as Pandas, scikit-learn, Tensorflow/Keras. Whether you're looking to enhance your data analysis skills or aiming for a career in AI, this course offers practical experience and real-world application.