Machine learning in Python- laboratories at the Collegium da Vinci
Posted on 1 February 2021 in lectures
The amount of data collected in online resources is growing at an exponential rate. To use the knowledge contained in this data, it is necessary to know machine learning techniques, which are part of the field of artificial intelligence. The module presents pattern mining techniques for both structured data, which follows a clearly defined schema, and unstructured data, which exists in the form of natural language text, signals, or graphics. Courses within the module include pattern detection, training machine learning models, clustering and grouping, text mining, computer vision processing and data analysis, and visualization. Practical exercises during laboratories include, among others: training a model for predicting apartment prices, training a prototype, an autonomous vehicle, using transfer learning to extract information from text, implementing sound and image recognition to control a drone.
topics:
• Python machine learning libraries • Supervised machine learning • Unsupervised machine learning • Reinforcement learning • Natural language processing • Detecting patterns in text data • Text tagging and classification • Topic modeling, semantic analysis • Artificial neural networks • Non-text data analysis: audio • Computer vision processing • Cloud frameworks and solutions in data science
