Topological Data Analysis - New Perspectives on Machine Learning - by Jesse Johnson
Explore geometric patterns in data and how abstract geometry concepts enhance machine learning algorithms. Gain insights into data structure through higher-dimensional perspectives.
Prepping Data for Analysis in R
Comprehensive workshop on data preparation for analysis in R, covering common issues, automated solutions, and practical demonstrations using open-source tools and packages.
ODSC West 2015 - Michael Li - Data Driven Hiring of Data Scientists
Explore data-driven hiring for data scientists, focusing on innovative screening processes that filter for skills and talent rather than keywords, to find the best candidates efficiently.
Data Science Solutions with Cortana Analytics
Comprehensive tutorial on building predictive models using Microsoft Azure Machine Learning, covering data processing, model creation, deployment, and practical applications in various domains.
Creating Data Driven Cities
Explore how leveraging government data can revolutionize city operations, addressing community priorities and creating innovative solutions for urban challenges.
ODSC West 2015 - Steve Mills - "Crowd Sourcing Data for Social Good"
Explore crowdsourcing in data science for social good, its applications, and ethical considerations. Learn about innovative approaches to tackle societal challenges using collective data and expertise.
Intelligent Services - Managing Machine Learning in Production
Explore strategies for managing machine learning models in production, including real-time learning, model competition, and versioning, to build responsive and intelligent services.
Big Data Machine Learning & Data Products with Python and H2O
Explore big data machine learning with Python and H2O in this talk. Learn about H2O's distributed processing, integration with Python ecosystem, and fast production scoring for smart business applications.
ODSC West 2015 - Cloud Native Data Science
Cloud-native design principles for data science applications: creating scalable, stateless models easily deployable in modern cloud systems. Insights on open-source platforms and best practices.
How Companies Are Using Tachyon, a Memory Centric Distributed Storage
Explore Tachyon, a memory-centric distributed storage system for fast big data processing. Learn about its benefits, use cases, and integration with popular frameworks like Spark and Hadoop.
ODSC West 2015 - Marc Joffe "Collecting and Analyzing Open Local Government Data"
Explore efforts to collect, analyze, and share US local government data, enhancing democratic accountability through open platforms like GovWiki and key resources such as EMMA.
ODSC West 2015 - Anthony Goldbloom - "Kaggle- The Home of Data Science"
Explore Kaggle's role in data science, machine learning competitions, and innovative approaches to problem-solving with insights from CEO Anthony Goldbloom.
Propensity Model for Marketing Campaign in eCommerce Industry
Learn to develop propensity models for targeted marketing campaigns in e-commerce using machine learning algorithms. Discover key drivers of customer data to predict subscription probability and improve conversion rates.
Follow the Yellow Brick Road - What the Wizard of Oz Can Teach You
Learn to craft compelling data stories using visualization techniques, design principles, and storytelling methods to effectively communicate insights and engage your audience.
They Might Be Robots - Using Data for Investment Management and Trading
Explore data-driven investment strategies, from industry trends to machine learning techniques, for portfolio management and active trading in this insightful talk by Dan Von Kohorn.
From Hyperbolic Geometry to Data Clustering
Explore how hyperbolic geometry and knot theory inspire innovative data clustering algorithms, bridging abstract mathematics with practical data science applications.
Power Query Group By - Complete Lesson with 10 Examples
Comprehensive tutorial on Power Query's Group By feature, covering basic to advanced applications with 10 practical examples for data analysis and calculations in Excel.
Forecasting with the FB Prophet Model
Learn to use Facebook's Prophet model for time series forecasting in Python, covering data preparation, model training, evaluation, and incorporating holiday effects.
Data Science - Chess Data Analysis
Explore chess data analysis using Python, covering ELO differences, game upsets, PGN parsing, and Stockfish integration. Learn to visualize winning streaks and analyze professional games.
Flight Delay Dataset Creation
Live coding session demonstrating the creation of a flight delay dataset using Python and Pandas. Learn data acquisition, cleaning, exploration, and visualization techniques with real-world airline data.
Do These Pandas Alternatives Actually Work?
Benchmark comparison of Pandas alternatives: Dask, Modin, Ray, and Vaex. Evaluates speed performance on large datasets, offering insights for data scientists seeking faster Python data processing options.