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implement and evaluate classification algorithms in machine learning
2. Implement single hidden layer neuralnetwork, train it on the MNIST digit images and tune
3. Use a publicly available convolutional neuralnetwork package, train it on the MNIST digit images
The goal of this project is to analyze shot-by-shot detail of each point of ten games of pro level squash and find patterns for each player.
The data will be available and it contains position of each player, height and speed of the ball at the time of each shot made by either player. (The squash court is divided by 9 squares)
I need you to apply your game theory and data science knowledge...
...interested in running some experiments with MachineLearning on the data behind this website - http://54...images
- Auto-encoding & clustering, unsupervised learning, in lieu of feature engineering
- Predict some..."You may like this..." item recommendation
My machine is Intel i7 4770 4-core / 8-thread with 384-core