# Steven Skiena

• ### WikiBrowseDemo - Duration: 2 minutes, 26 seconds.

• 236 views
• 6 months ago
• ### Lecture 2 - Asymptotic Notation - Duration: 1 hour, 20 minutes.

• 4,248 views
• 1 year ago
• ### Lecture 1 - Introduction to Algorithms - Duration: 1 hour, 20 minutes.

• 15,167 views
• 1 year ago
• ### Lecture 25 - Achieving Scale - Duration: 1 hour, 17 minutes.

• 287 views
• 1 year ago
• ### Lecture 26 - Human-centric Data Science - Duration: 1 hour, 11 minutes.

• 222 views
• 1 year ago
• ### Lecture 4 - Python for Data Science II - Duration: 1 hour, 20 minutes.

• 653 views
• 1 year ago
• ### Lecture 3 - Python for Data Science I - Duration: 1 hour, 20 minutes.

• 2,362 views
• 1 year ago
• ### Lecture 13 - Practice of Data Visualization - Duration: 1 hour, 9 minutes.

• 260 views
• 1 year ago
• ### Lecture 14 - Building Models - Duration: 1 hour, 17 minutes.

• 316 views
• 1 year ago
• ### Lecture 11 - Statistical Significance - Duration: 1 hour, 18 minutes.

• 363 views
• 1 year ago
• ### Lecture 12 - Principles of Visualizing Data - Duration: 1 hour, 15 minutes.

• 292 views
• 1 year ago
• ### Lecture 10 - Statistical Distributions - Duration: 1 hour, 8 minutes.

• 340 views
• 1 year ago
• ### Lecture 8 - Scores and Rankings I - Duration: 1 hour, 10 minutes.

• 377 views
• 1 year ago
• ### Lecture 9 - Scores and Rankings II - Duration: 1 hour, 4 minutes.

• 280 views
• 1 year ago
• ### Lecture 7 - Data Cleaning - Duration: 1 hour, 9 minutes.

• 468 views
• 1 year ago
• ### Lecture 6 - Data Munging - Duration: 1 hour, 2 minutes.

• 846 views
• 1 year ago
• ### Lecture 4 - Python for Data Science II - Duration: 1 hour, 20 minutes.

• 64 views
• 1 year ago
• ### Lecture 5 - Correlation and Munging - Duration: 1 hour, 12 minutes.

• 627 views
• 1 year ago
• ### Lecture 1 - Introduction to Data Science - Duration: 1 hour, 11 minutes.

• 5,841 views
• 1 year ago
• ### Lecture 2 - Mathematical Preliminaries - Duration: 1 hour, 15 minutes.

• 1,955 views
• 1 year ago
• ### Lecture 15 - Validating Models - Duration: 1 hour, 16 minutes.

• 218 views
• 1 year ago
• ### Lecture 16 - Linear Algebra Review - Duration: 1 hour, 19 minutes.

• 251 views
• 1 year ago
• ### Lecture 17 - Linear Regression - Duration: 1 hour, 15 minutes.

• 258 views
• 1 year ago
• ### Lecture 19 - Logistic Regression and Classification - Duration: 1 hour, 16 minutes.

• 401 views
• 1 year ago
• ### Lecture 18 - Gradient Descent Search and Regularization - Duration: 1 hour, 18 minutes.

• 410 views
• 1 year ago
• ### Lecture 20 - Nearest Neighbor Methods I - Duration: 1 hour, 17 minutes.

• 170 views
• 1 year ago
• ### Lecture 21 - Nearest Neighbor Methods II - Duration: 1 hour, 19 minutes.

• 132 views
• 1 year ago
• ### Lecture 23 - Machine Learning - Duration: 1 hour, 17 minutes.

• 288 views
• 1 year ago
• ### Lecture 22 - Clustering - Duration: 1 hour, 7 minutes.

• 197 views
• 1 year ago
• ### Lecture 24 - Topics in Machine Learning - Duration: 1 hour, 18 minutes.

• 212 views
• 1 year ago
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