Mathematical Fundamentals
Students will grasp foundational concepts in linear algebra, calculus, probability, and statistics essential for understanding machine learning algorithms.
Our program provides a comprehensive way for students to learn all about machine learning and do productive research! Read more to see how we accomplish this!
ApplyStudents will grasp foundational concepts in linear algebra, calculus, probability, and statistics essential for understanding machine learning algorithms.
Learners will understand how to train and optimize machine learning models using techniques like hyperparameter tuning, transfer learning, and regularization.
Exploration of key Python libraries including TensorFlow, PyTorch, Keras, scikit-learn, XGBoost, and LightGBM for effective model development and optimization.
Students will learn to handle large datasets, tackling challenges like volume and variety, to extract meaningful insights and patterns.
Proficiency in Python libraries such as Pandas, Dask, PySpark, Hadoop Streaming, Vaex, and HDF5 for efficient processing and analysis of big data.
Price: $1900
Description: Our first week is dedicated solely to learning the foundations of machine learning, and the remainder of the program will be spent writing a professional research paper in student subgroups, either about an assigned topic related to machine learning or of one the students propose themselves.
Dates: July 18th - August 18th
Duration: 1 Month