MLSecOps with Automated Online and Offline ML Model Evaluations on Kubernetes
Explore automated ML model evaluations on Kubernetes, focusing on MLSecOps practices for enhanced security and efficiency in both online and offline scenarios.
Indivisible - Embracing Differences in Political Discourse
Insights from a TV political roundtable producer on bridging differences and finding common ground in divisive times, drawing from experiences in media and entertainment.
Moving from Developer to Tech Lead - Career Transition Strategies
Explore the transition from developer to tech lead, covering responsibilities, mindset shifts, and challenges. Gain insights from experienced professionals on managing people and projects effectively.
Microsoft Data Analysis Tools: Excel, Power Query, Power BI, Dataflow, DAX, and M Code
Comprehensive tutorial on Microsoft data analysis tools, covering Excel, Power Query, Power BI, and more. Learn to import, transform, and visualize data using various techniques and formulas.
Solving the Problem of More Work than Time and Money
Strategies for managing workload when demand exceeds resources. Learn effective techniques to prioritize tasks, optimize productivity, and achieve more with limited time and budget.
Building Distributed Engineering Teams
Insights on building effective distributed engineering teams, focusing on inclusivity, diversity, and overcoming challenges in remote work environments.
Clean Architecture: How to Structure ML Projects to Reduce Technical Debt
Structure ML projects using Clean Architecture to reduce technical debt. Learn actionable software engineering principles for data-intensive applications and manage project changes effectively.
Building a Data Science Program in Higher Vocational Education
Explore a two-year data science program designed for higher vocational education, featuring industry-aligned courses and modern educational approaches like Discord communities and GitHub portfolios.
Improving Productivity for Building ML Workloads Using Amazon SageMaker Autopilot
Automate ML model training and tuning for customer churn prediction using Amazon SageMaker Autopilot, with deployment and iteration in SageMaker Studio.
Looking into AI/ML from a Venture Capital Lens
Explore AI/ML investment strategies, trends, and opportunities from a VC perspective, focusing on transformative software and digital infrastructure.
Accelerators Made Easy - Improving MLOps at Loblaw Digital Using Vertex AI
Leverage Vertex AI for efficient matrix multiplication in MLOps. Build scalable recommendation engines using Google Cloud Platform's tools for improved product relevance.
PyScript for Data Science: Writing Python in the Browser
Explore PyScript's potential for data scientists to write Python in browsers, revolutionizing web development and enhancing data science workflows.
Deploying Generative AI Models - Best Practices and Interactive Example
Explore best practices for deploying generative AI models at scale, with an interactive example using UbiOps for serverless and cloud-agnostic implementation.
Pandas 2, Dask or Polars? Quickly Tackling Larger Data on a Single Machine
Explore Pandas 2, Dask, and Polars for efficient large data processing on a single machine. Compare features, performance, and ecosystem compatibility to choose the best tool for your research workflow.
Automating Production Level Machine Learning Operations on AWS
Explore ML Ops challenges and solutions using AWS services. Learn to bridge the gap between data science and deployment with a "model factory" architecture for effective CI/CD in machine learning.
Literate Statistical Programming for Reproducible Data Science
Learn a reproducible, auditable workflow for data science projects using Literate Statistical Programming principles, tools, and techniques for improved experimentation and iteration.
Building an Open Data Lakehouse Using Apache Spark, Apache Iceberg and Dremio
Explore the evolution of big data to data lakehouses, focusing on open architecture development, security, governance, and augmentation using Dremio, Apache Spark, and Apache Iceberg.
Introduction to Dataverse for Low Database Maturity Businesses
Explore structured data organization with Dataverse, ideal for businesses with low database maturity seeking to enhance their data management practices.
Timespan Fact Tables: Handling Historical Data in Data Warehousing
Explore practical applications of Timespan Fact Tables for handling historical data, including row effective dates, expiration dates, and current row indicators.
Introducing Your Databricks Flight Assistant - Lakehouse AI Copilot
Explore Databricks' Lakehouse Assistant: Chat in English to generate SQL queries, scripts, and code explanations while navigating the Lakehouse with ease.
Power Query in 20 Minutes - How it Works
Explore Power Query's internals and gain a deeper understanding of this increasingly prevalent tool in Power BI and Fabric technologies.