EdX
Discover the intersection of computing and mathematics with 'Computing for Data Analysis'. This hands-on course offers a practical introduction to basic programming principles crucial for contemporary data analysis, data mining, and machine learning. Dive into the entire data analysis pipeline from collection to interactive visualization.
Coursera
Dive into the world of Probabilistic Graphical Models 2: Inference, an advanced online course designed for those who want to delve deeper into decoding complex joint probability distributions. This course will equip you with essential skills in statistical modeling and machine learning, using techniques that sit at the intersection of statistics and computer science.
Coursera
Dive into the world of Applied Machine Learning with this hands-on Python course. Learn how to implement machine learning algorithms effectively, understand their practical applications, and harness the power of scikit-learn toolkit for real-world problem-solving.
Coursera
Dive into the world of text mining with our Applied Text Mining in Python course. Master the art of manipulating, cleaning, and analyzing text data using Python's powerful tools and libraries. Gain insights from your unstructured text data and unlock new possibilities for your projects.
Coursera
Dive into the world of artificial intelligence with this comprehensive Introduction to TensorFlow course. Learn best practices for using TensorFlow, a powerful tool for developing scalable machine learning algorithms. Ideal for software developers eager to integrate AI and deep learning into their projects.
Coursera
Dive into the fundamental world of Mathematical Matrix Methods with our expert-led online course. Whether you're a student, researcher, or professional looking to enhance your skills in data analysis and machine learning, this course offers a structured pathway to understanding key concepts such as matrix operations, solving linear equations, orthogonality principles, least squares approximations, and the critical Singular Value Decomposition technique. Learn how these methods are applied to real-world problems for dimensionality reduction, noise filtering, and more.
Coursera
Dive into the world of machine learning applied to finance with our Fundamentals of Machine Learning in Finance course. This course will equip you with the skills needed to tackle practical financial challenges using advanced ML techniques, enhancing your ability to make informed decisions and stay ahead in the ever-evolving financial landscape.
Coursera
Dive into the world of AI with our 'Machine Learning Rapid Prototyping with IBM Watson Studio' course. Master the art of automating your machine learning pipeline, allowing you to focus on fine-tuning models with domain knowledge. This course will guide you through creating an end-to-end automated pipeline using Watson Studio's AutoAI experiment tool and explore the underlying technologies developed by IBM Research.
Coursera
Embark on a transformative journey into the world of machine learning with Practical Machine Learning on H2O. This course is designed for those new to data science, aiming to empower learners with the skills needed to create effective machine learning models using H2O's powerful open-source platform. From linear models and random forests to gradient boosting machines (GBMs) and deep learning, this course covers a broad spectrum of algorithms, ensuring you're well-equipped to tackle various data challenges.