'Test error' presentation slideshows

Classification & Logistic Regression & maybe deep learning

1.28k views • 87 slides

Fitting Linear Models, Regularization (revisited) & Cross Validation

Fitting Linear Models, Regularization (revisited) & Cross Validation. ?. Slides by: Joseph E. Gonzalez jegonzal@cs.berkeley.edu. Previously. Feature Engineering and Linear Regression. Domain. Feature Engineering. Linear Regression. Recap: Feature Engineering.

825 views • 49 slides

Adversarial Machine Learning: Concepts, Techniques and Challenges

962 views • 47 slides

Model Assessment, Selection and Averaging

Model Assessment, Selection and Averaging. Presented by: Bibhas Chakraborty. Performance Assessment: Loss Function. Typical choices for quantitative response Y : (squared error)

457 views • 35 slides

Lecture 8. Model Assessment and Selection

556 views • 31 slides

A combining approach to statistical methods for p >> n problems

A combining approach to statistical methods for p >> n problems. Workshop on Statistical Genetics, Nov 9, 2004 at ISM. Shinto Eguchi. Microarray data. cDNA microarry. Prediction from gene expressions. Feature vector dimension = number of genes p

441 views • 31 slides

CS 2750: Machine Learning Line Fitting + Bias-Variance Trade-off

CS 2750: Machine Learning Line Fitting + Bias-Variance Trade-off. Prof. Adriana Kovashka University of Pittsburgh January 26, 2017. Generalization. How well does a learned model generalize from the data it was trained on to a new test set?. Training set (labels known).

266 views • 26 slides

Control with Neural Networks Case studies

Control with Neural Networks Case studies. Roland Pihlakas 08. Dec 2008. Proof of concept examples. Sunspot Activity: - Classical example Hydraulic actuator for a crane: NPC > APC The issue of fast sampling for validation Pneumatic position servomechanism: - Nonlinear

342 views • 25 slides

Recognition: A machine learning approach

415 views • 24 slides

Non-Isometric Manifold Learning Analysis and an Algorithm

396 views • 22 slides

Trouble Shooting

Trouble Shooting. 1. No Power. 9. Hard Drive Test Error. 2. Battery Can not Be Charged. 10. CD-ROM Driver Test Error. 3. No Display. 11. USB Port Test Error. 4. LCD No Display or Picture Abnormal. 12. PC Card Socket Test Error. 5. External Monitor No Display or Color Abnormal.

426 views • 18 slides

Random Forest

Random Forest. Predrag Radenkovi ? 3237/10 Facult y of Electrical Engineering University Of Belgrade. Definition.

1.49k views • 14 slides

Random Forest

Random Forest. Predrag Radenkovi ? 3237/10 Facult y of Electrical Engineering University Of Belgrade. Definition.

505 views • 14 slides

Random Forest

Random Forest. Predrag Radenkovi ? 3237/10 Facult y of Electrical Engineering University Of Belgrade. Definition.

380 views • 14 slides

Random Forest

Random Forest. Predrag Radenkovi ? 3237/10 Facult y of Electrical Engineering University Of Belgrade. Definition.

586 views • 14 slides

Model Selection

Model Selection. Manu Chandran. Outline. Background and motivation Over view of techniques Cross validation Bootstrap method Setting up the problem Comparing AIC,BIC,Crossvalidation,Bootstrap For small data set - iris data set For large data set - ellipse data set

387 views • 12 slides

American Society for Microbiology Position on Home Use HIV-1 Testing

American Society for Microbiology Position on Home Use HIV-1 Testing. Patricia Charache, MD Johns Hopkins Medical Institutions Professor of Pathology, Medicine & Oncology. ASM Position Overview Home Use HIV-1 Antibody Testing.

209 views • 12 slides