Breaking into Data Science from a Non-STEM Background in 6 Months
Discover how to transition from a non-STEM background to a proficient Data Scientist in just 6 months. Gain practical advice, strategies, and insights for an accelerated career pivot.
Beyond Magic: How to Talk About Data Science with Non-Technical Audiences
Learn effective strategies for communicating data science concepts to non-technical audiences, improving collaboration, and promoting your work within your organization.
Acing the Technical Data Science Interview
Master a framework for excelling in technical Data Science interviews, understanding company expectations, and avoiding common pitfalls.
Forecasting Time Series with Arrow and WASM
Explore novel time-series processing pipeline using Apache Arrow, S3, Polars/DuckDB, and WASM for efficient forecasting and MLOps deployment.
7 Learnings from Scaling a Data Science Product in PowerBI
Discover key insights on scaling data science products in PowerBI, focusing on AI-driven player experience personalization in the gambling industry.
Fraud Prevention in Online B2B Transactions
Discover cutting-edge fraud prevention strategies for B2B transactions, leveraging ML models, data infrastructure, and MLOps for enhanced precision and collaboration.
How Tech Helps High Yield Lawyers Work More Efficiently - Shaking Off the Powersuit
Discover how modern tech and LLM integrations streamline legal debt document analysis, enhancing efficiency for high yield lawyers in leveraged finance.
What We Learned Dissecting the World's Most Popular Containers
Explore insights from analyzing 100+ popular container images, revealing complexities in Kubernetes deployments and discussing software supply chain practices and trade-offs.
Getting Started with Open Source Project Insights
Leverage automation and data for sustainable open-source contributions. Learn strategies to encourage code and non-code contributions while maintaining project velocity and reducing contributor churn.
Improving Open Source Ecosystem Sustainability Through Automation and Seamless Contribution Process
Discover strategies for enhancing open source sustainability through automation and streamlined contribution processes, focusing on Capital One's recent projects and their global impact.
Managing the Test Data Nightmare
Discover strategies to overcome test data challenges, from preparation to execution, ensuring efficient and reliable testing processes for any project or language.
From Sensor to Cloud: Getting Your Data Off of the Edge
Explore efficient methods for transferring time series data from edge devices to the cloud using open-source tools and InfluxDB platform, enabling seamless analysis and utilization.
Training and Using a Large Language Model to Write Theatrical Performances
Explore AI-assisted creative writing for theater, covering LLM training, data preprocessing, and collaborative script generation. Learn about challenges and techniques in NLP for theatrical performances.
Helping Canadians Live Life Well Through Data-driven Innovation
Explore how Loblaw leverages data for forecasting, personalization, and supply chain optimization to enhance Canadian retail experiences.
Machine Learning for E-commerce Product Discovery - Finding a Needle in a Haystack
Explore machine learning techniques for efficient e-commerce product discovery, addressing challenges and leveraging NLP, image recognition, and knowledge graphs.
Sensitivity and Interpretability of AI Models in Regulated Industries
Explore sensitivity analysis for AI model interpretability in regulated industries. Learn design and implementation approaches using case studies from healthcare and human activity data.
PolypharmDB: Quickly Identifying Repurposed Drug Candidates for COVID-19
Explore PolypharmDB, a deep learning-based resource for identifying repurposed drug candidates for COVID-19. Learn about accelerated drug discovery methods using existing clinical data.
Dimensionality Reduction and Segmentation with Decision Trees - Python Code
Explore advanced decision tree applications for dimensionality reduction and predictor segmentation, with Python code examples for breast cancer detection and sepsis risk analysis.
4 Ways to Measure Fat Tails with Python - Example Code and Analysis
Explore four methods to quantify fat tails using Python, including power law tail index, kurtosis, log-normal's σ, and Taleb's κ. Apply these techniques to real-world social media data analysis.
Text Embeddings, Classification, and Semantic Search with Python Code
Explore text embeddings for classification and semantic search with Python. Learn to transform text into computable vectors for powerful NLP applications.
Three AI Use Cases for Analyzing Sales Data
Explore three practical AI applications for analyzing sales data, demonstrated with real-world examples from a warm outreach campaign. Learn data augmentation, structuring unstructured data, and lead scoring techniques.