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Showing below up to 50 results in range #51 to #100.
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Bb-example-small.png 300 × 200; 64 KB
Bb-example.png 1,725 × 1,148; 2.25 MB
Bb-strat.png 800 × 600; 66 KB
Bhrolenok headshot.jpg 1,231 × 1,088; 454 KB
Bhrolenok headshot 150x132.jpg 150 × 132; 21 KB
Buzz-small.png 150 × 150; 22 KB
CDB vectorize me.pptx ; 2.21 MB
- CS4646 Spr18.zip ; 40.29 MB
- CS4646 qlearning robot.zip ; 9 KB
- CS4646 spr18 assess learners.zip ; 162 KB
- CS4646 spr18 marketsim.zip ; 9 KB
Cartpole.gif 480 × 320; 114 KB
Cdb-headshot-150x150.jpg 150 × 150; 38 KB
Cdb headshot side 150x150.jpeg 150 × 150; 35 KB
Col deep autoenc.png 2,000 × 400; 81 KB
Comparison.png 800 × 600; 90 KB
Comparison optimal.png 800 × 600; 81 KB
- Decision-tree-example.xlsx ; 72 KB
Deep autoencoder.jpg 1,440 × 400; 67 KB
- Defeat learners.zip ; 6 KB
Dev 150 150.png 149 × 158; 52 KB
Distorted.png 1,440 × 817; 595 KB
Distorted last relu.png 1,440 × 817; 394 KB
Distorted sigmoid.png 1,440 × 817; 520 KB
Env.gif 2,500 × 1,666; 2.43 MB
Example1.png 512 × 288; 59 KB
Example2.png 815 × 615; 79 KB
Example 1.png 512 × 288; 59 KB
Example 2.png 512 × 288; 60 KB
- Hhg utils.zip ; 4 KB
How-to-learn-a-decision-tree.pdf ; 586 KB
Initial plot.png 1,440 × 817; 1.08 MB
- Istanbul.csv ; 63 KB
Jayita 150 150.jpg 150 × 150; 12 KB
Jianling Wang.jpg 150 × 150; 15 KB
Learned 32 2.png 1,440 × 817; 448 KB
- ML4T 2017Fall.zip ; 40.29 MB
- ML4T 2018Fall.zip ; 40.27 MB
- ML4T 2018FallRC.zip ; 40.3 MB
- ML4T 2018Spring.zip ; 40.3 MB
- ML4T 2019Fall.zip ; 40.26 MB
- ML4T 2019Spring.zip ; 40.27 MB
- ML4T 2020Spring.zip ; 40.26 MB
- ML questions.xls ; 396 KB
Maria-hybinette-small.png 150 × 150; 42 KB
- Marketsim-guidelines.pdf ; 124 KB
- Marketsim.zip ; 9 KB
- Marketsim 2020Spring.zip ; 10 KB
- Martingale.zip ; 2 KB
- Mc1 p1.zip ; 4 KB
