How to Validate Your Model & Data and Easily Avoid Common ML Pitfalls
Explore common ML pitfalls and learn effective strategies for model and data validation. Gain practical insights on avoiding biases, data leakages, and performance instability through hands-on demonstrations and real-life examples.
Natural Language Processing in Mental Health
Explore how natural language processing can extract mental health indicators from everyday language, aiding neuropsychiatry while considering potential risks and ethical implications.
Crash Course on Transfer Learning
Explore transfer learning in deep learning models, including its concept, applications, benefits, and methods. Learn how models leverage prior knowledge for improved performance and efficiency.
DataOps for the Modern Computer Vision Stack
Explore DataOps for computer vision, addressing key challenges and principles. Learn about pipeline implementation, data management, and future trends in modern CV stacks.
Introduction to Power Virtual Agents
Learn to create powerful chatbots without coding using Power Virtual Agents. Master topics, entities, knowledge bases, and deployment across channels for enhanced customer relations.
The Seven Ingredients in Every Great Chart
Discover the essential ingredients for creating impactful charts. Learn to craft clear, informative visualizations that effectively communicate data and avoid common pitfalls in representation.
Putting MLOps into Practice
Streamline your machine learning lifecycle with MLOps best practices, from project initiation to model deployment and monitoring. Learn practical implementation strategies and reference architectures.
Introduction to Hierarchical Clustering with College Scorecard Data
Learn hierarchical clustering using College Scorecard data to group similar schools. Explore clustering methods, data preparation, and practical application for student decision-making in higher education.
Effective Data Storytelling as a Data Scientist in Industry
Learn effective data storytelling techniques for industry presentations. Avoid common mistakes, improve communication of ML models, and craft compelling data stories to enhance stakeholder relationships.
Data Mining Crash Course
Comprehensive overview of data mining essentials, covering data types, quality, preprocessing, similarity analysis, and visualization techniques for effective data-driven decision making.
Introduction to Convolutional Neural Networks with TensorFlow
Learn to build and implement convolutional neural networks for image classification using TensorFlow. Gain hands-on experience in deep learning techniques for computer vision tasks.
Designing Your Organization for AI and Analytics Success
Discover key organizational foundations for AI and analytics success: organizational design, data strategy, and technology implementation. Learn proven methods to boost project success rates.
How to Detect Silent Failures in ML Models
Learn techniques to detect and address silent failures in machine learning models, including data drift detection, performance estimation, and monitoring strategies, without relying on ground truth data.
BentoML - Create an ML Powered Prediction Service in Minutes
Learn to containerize and share machine learning models using BentoML, enabling easy deployment and collaboration with team members through intuitive API endpoints.
R and Python - The Best of Both Worlds
Explore the synergy between R and Python for data science, comparing their features, workflows, and data types. Learn to combine both languages for optimal results in various data science tasks.
Between the Spreadsheets - Classifying and Fixing Dirty Data for Data Science
Learn to identify, clean, and manage dirty data for accurate insights and decision-making. Discover real-life examples, quick Excel fixes, and best practices to elevate your data analysis skills.
Text Analytics Crash Course with R
Learn text analytics fundamentals, data processing, machine learning models, and visualization techniques using R. Master handling big data and optimizing models for valuable insights from unstructured text.
JavaScript for Cancer Prevention Through Early Detection
Explore how JavaScript, TensorFlow.js, and React Native can enhance melanoma detection accuracy, aiding early skin cancer diagnosis and potentially saving lives through innovative technology.
Best Animation Exercise for Beginners - OpenToonz - How to Animate 2D Animation Class
Learn 2D animation fundamentals using OpenToonz. Practice spacing, timing, arcs, and more through a hands-on exercise. Ideal for beginners looking to develop essential skills and create smooth, engaging animations.
How to Build a Weather App in JavaScript Without Needing a Server
Learn to build a JavaScript weather app using APIs, data transformation, and CSS, without server-side code. Covers HTML structure, styling, API integration, and location-based features.
Learn Zod in 30 Minutes
Master Zod validation library for TypeScript, covering basic usage, types, validation, and advanced features to enhance type safety and simplify user data handling.