Steven Skiena
My channel holds video lectures of the classes I've taught in the past
For more information about me, please visit http://www.cs.stonybrook.edu/~skiena/
You can view my books at https://www.amazon.com/Steve-Skiena/e/B000APVVYO
Steven Skiena is a Distinguished Teaching Professor of Computer Science at Stony Brook University.
He is a co-founder and the Chief Science Officer of General Sentiment, a social media and news analytics company. His research interests include algorithm design and its applications to biology.
Skiena is the author of several popular books in the fields of algorithms, programming, and mathematics. The Algorithm Design Manual is widely used as an undergraduate text in algorithms and within the tech industry for job interview preparation.
CSE 519 --- Lecture 23: Achieving Scale (Fall 2024)
CSE 519 --- Lecture 23: NLP and LLMs (Fall 2024)
CSE 519 --- Lecture 22: Topics in Machine Learning (Fall 2024)
Webinar: AI Horizons - What Does Innovation, Creativity, and Ethics Mean in the Generative AI Era?
KDD2024 - DeepWalk: online learning of social representations
CSE 519 --- Lecture 24: Human-centric Data Science (Fall 2024)
CSE 519 --- Lecture 15: Linear Regression (Fall 2024)
CSE 519 --- Lecture 20: Clustering (Fall 2024)
CSE 519 --- Lecture 18 part 2: Nearest Neighbor Methods (Fall 2024)
CSE 519 --- Lecture 21: Decision Trees and Boosting (Fall 2024)
CSE 519 --- Lecture 17: Logistic Regression and Classification (Fall 2024)
CSE 519 --- Lecture 14: Linear Algebra Review (Fall 2024)
CSE 519 --- Lecture 11: Principles of Visualizing Data (Fall 2024)
CSE 519 --- Lecture 18 part 1: Nearest Neighbor Methods (Fall 2024)
CSE 519 --- Lecture 9: Statistical Distribution (Fall 2024)
CSE 519 --- Lecture 13: Building and Validating Models (Fall 2024)
CSE 519 --- Lecture 10 part 2: Statistical Significance (Fall 2024)
CSE 519 --- Lecture 10 part 1: Statistical Significance (Fall 2024)
CSE 519 --- Midterm Review (Fall 2024)
CSE 519 --- Lecture 8: Scores and Rankings (Fall 2024)
CSE 519 --- Lecture 7: Data Cleaning (Fall 2024)
CSE 519 --- Lecture 6: Assembling Datasets (Fall 2024)
CSE 519 --- Bonus Lecture Look Ahead For HW (Fall 2024)
CSE 519 --- Lecture 5: Correlation (Fall 2024)
CSE 519 --- Lecture 2: Mathematical Preliminaries (Fall 2024)
CSE 519 --- Lecture 1: Introduction To Data Science (Fall 2024)
CSE 519 --- Lecture 3 and 4: Python For Data Science (Fall 2024)
CSE 519 --- Lecture 0: Course Administration (Fall 2024)
2024 Brazilian ICPC Summer School - 23⧸01 (Manhã)
2024 Brazilian ICPC Summer School - 24⧸01 (Manhã)