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Basics of Machine Learning: Classification & Regression
Research Methodologies in Machine Learning
Introduction to Scikit-learn and other python packages
Load and Explore dataset with pandas.
deep neural classification
RNN-LSTM time series analysis
CNN-convolutional image classification
Installation-TensorFlow, Keras, and Python.
During the day, workshop attendees will gain the following practical hands-on experience:
How to prepare, normalize, and encode data for deep learning systems.
How to install deep learning libraries including TensorFlow, Keras, and CNTK, and the pros and cons of each library.
How to create deep learning predictive systems for various kinds of data: classical business data, time series data (such as sales data), image data (such as the famous MNIST dataset for handwriting recognition).