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Related lectures (32)
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Regression: High Dimensions
Explores linear regression in high dimensions and practical house price prediction from a dataset.
Probability Theory: Integration and Convergence
Covers topics in probability theory, focusing on uniform integrability and convergence theorems.
Market-Based Instruments: Emission Reduction Strategies
Covers market-based instruments for emission reductions and their efficiency in minimizing costs across different sources of emissions.
Matlab Programming: Script and Function
Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Untitled
General Introduction to Big Data
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Decision Tree Classification
Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.
Quantum and Nanocomputing
Covers quantum wire analysis, transmission function, and tunneling in dots.
Analysis IV: Convolution and Hilbert Structure
Explores convolution, uniform continuity, Hilbert structure, and Lebesgue measure in analysis.
Functions in Python
Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
