Live Coding: Avoiding Traffic with Wolfram Language
Explore real-time problem-solving using Wolfram Language to avoid London's morning rush hour traffic through API calls, machine learning, image processing, and graph theory.
Using the Query Function to Write Elegant and Efficient Programs in Wolfram Language
Explore efficient data manipulation using Wolfram Language's Query function with Professor Seth Chandler. Learn elegant programming techniques for extracting information from datasets.
Combining Wolfram Language and R - Integrating R Workflows into Wolfram's Unified Computation Platform
Integrate Wolfram Language and R workflows, leveraging RLink to expand computational capabilities beyond statistics and access Wolfram's extensive algorithm base.
Practice Machine Learning for Petroleum Engineers with Little to No Code
Explore machine learning applications in petroleum engineering with minimal coding. Gain practical skills for implementing ML solutions in reservoir analysis and production optimization.
Quantitative Studies of Supersonic Microparticle Impacts on Metals
Explore quantitative analyses of supersonic microparticle impacts on metals, uncovering insights into high-energy density science and material behavior under extreme conditions.
Caliper, Hatchet, and Thicket: Open-Source Tools for HPC Performance Analysis
Explore open-source tools for integrating performance profiling, analyzing hierarchical data, and optimizing application performance on supercomputers. Learn to leverage Caliper, Hatchet, and Thicket for HPC environments.
Higher-Order Multi-Variate Statistics for Scientific Data Analysis
Explore advanced multi-variate statistical techniques for scientific data analysis, focusing on higher-order methods like coskewness and cokurtosis for rare event detection and dimensionality reduction in complex systems.
Ascent: In Situ Visualization and Analysis for HPC Simulations - Tutorial 2024
Learn to use Ascent, an open-source in situ visualization and analysis tool for HPC simulations. Explore its capabilities for multi-physics applications on many-core architectures.
Introduction to Data Exploration Using Microsoft Excel
Explore data using Excel: Learn importing, cleaning, basic functions, and statistical analyses for valuable insights from a Mars Petcare Data Engineer.
Introduction to Machine Learning - Clustering - Part 3
Explore clustering in machine learning, focusing on k-means and hierarchical algorithms. Learn to uncover data relationships and apply techniques with practical considerations.
Python 101 - Introduction to Python for Data Science
Learn Python basics for data science: explore versatile programming tools, efficient data computation, and knowledge extraction techniques.
Advanced SQL Techniques for Data Science
Expand SQL knowledge with complex conditions, functions, joins, and data engineering concepts. Learn from Facebook's Data Engineering Manager in this advanced session.
To Buy or Not to Buy: Predicting Shopper Behavior in Grocery Retail
Explore demand modeling in grocery retail: forecasting sales, diagnosing performance, and optimizing pricing strategies. Learn key requirements, challenges, and solutions in this high-level overview.
Machine Learning Applications in Petroleum Production Data - Lecture 1
Explore machine learning applications in petroleum production data through Dr. Rami Aloush's comprehensive lecture series, focusing on energy transition and engineering concepts.
An Introduction to Drift Detection
Explore drift detection in machine learning, covering types, detection methods, and practical applications using Alibi Detect. Gain hands-on experience with real-world examples and state-of-the-art techniques.
Introduction to Data Analysis Using Pandas
Learn to effectively analyze data using pandas in Python. Master data manipulation, aggregation, and visualization techniques for extracting valuable insights from tabular datasets.
Quantum Classical Machine Learning for Medical Applications
Explore hybrid machine learning in healthcare, discussing quantum computing applications with EHR data and medical images. Gain insights into emerging technologies for healthcare professionals.
Tensor Networks vs. PCA and PLS for High Dimensional Medical Datasets
Explore dimensionality reduction techniques for high-dimensional medical data. Compare tensor networks with PCA and PLS, gaining insights on their applications and effectiveness in handling complex datasets.
Machine Learning - Finding Patterns in the World
Explore patterns in data using machine learning techniques. Gain insights into real-world applications and methodologies presented by a Johns Hopkins expert.
Better Learning Through Programming Languages: Neurosymbolic Synthesis and Learning
Explore program synthesis evolution as a learning tool, from early data-driven models to modern neurosymbolic algorithms.
Football Data Analytics: Azure End-to-End Data Engineering Project
Extract, clean, and analyze football data using Apache Airflow, Azure services, and Tableau. Build a comprehensive data pipeline from Wikipedia to interactive visualizations.