dsc workshop series
Thursday, June 27, 2019 | 8 am - 4 pm | Nashville, TN
begin
data science 101
- How to become a data scientist
- Common Python libraries: NumPy, Pandas, SciKit Learn
- Foundations of machine learning
- Feature engineering and grid search
- Interpret your model with LIME and Reason codes
specialize
text analytics
- Introduction to text analysis
- How to represent text numerically
- Descriptive inference from text
- Foundations of supervised learning techniques
- Foundations of unsupervised learning techniques
create
data vizualization
- Understand how data visualization can enhance your analytics for more rapid insights
- Learn visual best practices to help relay your findings in an intuitive and actionable way
- Create visualizations in common platforms to leverage dashboards and data storytelling
advance
deep learning
- Learn PyTorch for implementing cutting-edge deep learning algorithms with Pytorch's Tensor library and neural networks
- Cover various advanced neural network architecture such as ResNet, Inception, DenseNet and more
- Train your neural networks for higher speed
