Ways to Use New Code Interpreter - ChatGPT Update
Explore five innovative uses of code interpreter: creating GIFs, cleaning data, generating PDFs, plotting functions, and making radar charts. Enhance your coding skills with practical examples.
TensorFlow Binary and Multi-class Classification Tutorial
Learn TensorFlow for binary and multi-class classification, covering data handling, model building, optimization, and evaluation techniques for effective machine learning implementations.
Getting Machine Learning Models into Use
Practical guide to deploying bioinformatics machine learning models, focusing on scalability, user-friendliness, data security, and maintainability for real-world impact.
Machine Learning for Beginners - Data Scientists and Analysts
Comprehensive introduction to machine learning for data professionals, covering key concepts, techniques, and practical applications in business contexts, with hands-on coding examples.
Build Your Machine Learning Pipeline in These 4 Simple Steps - Loan Prediction Scikit-Learn Example
Aprenda a construir um pipeline completo de machine learning usando scikit-learn para previsão de empréstimos, desde a ingestão de dados até o uso do modelo salvo para previsões.
Machine Learning Tutorial for Beginners
Comprehensive TensorFlow tutorial covering data handling, neural networks, and model building. Learn to clean, analyze, and process data for machine learning applications.
Getting ML Right in a Complex Data World
Explore efficient ML experimentation using data versioning tools to reproduce iterations, capture training data versions, and build intuitive infrastructure without duplicating resources.
ChatGPT 3.5 Turbo Fine-Tuning Tutorial - Specific Tasks with Synthetic Data
Step-by-step guide to fine-tuning ChatGPT 3.5 Turbo for specific tasks using synthetic data, covering when and why to fine-tune, data creation, dataset cleaning, and model testing.
Building Your Own AI Platform and Tools Using ChatGPT
Explore creating custom AI platforms using TensorFlow, covering data collection, cleaning, training, and building a CLI-based system tailored to your organization's environment.
Ghost Work: The Human Labour Behind AI Technology
Explore the hidden workforce behind AI technology, examining ethical concerns and labor practices in data labeling and crowdsourcing platforms for AI development.
EHR Data Quality: Why You Should Worry and What You Can Do About It
Explore EHR data quality concerns and strategies for improvement. Learn to assess, validate, and enhance electronic health record data for more reliable research and clinical applications.
Probabilistic Scripts for Automating Common-Sense Tasks
Explore probabilistic scripting for automating common-sense tasks, focusing on data cleaning. Learn how to encode domain knowledge and leverage probabilistic programming for efficient problem-solving.
Cleaning up the Data Economy
Explore the Data Economy's challenges and solutions, focusing on transparency, trust, and authentication in data supply chains. Learn about technology's role in improving data accuracy and accessibility.
Do We Know Our Data, as Good as We Know Our Tools?
Explore data analysis challenges and techniques for cleaning, preparing, and understanding datasets before model training. Learn to detect issues and apply solutions for better accuracy.
Serverless Datastream Processing
Explore serverless datastream processing for real-time data handling, covering message handling, processing, storage, querying, and machine learning using Google Cloud Platform components.
Machine Learning Without the Hype
Explore AI, machine learning, and deep learning concepts, comparing rule-based and ML approaches for time-series data. Learn supervised vs unsupervised learning with practical examples and best practices.
Small Data - Machine Learning
Discover how machine learning can solve real-world problems, like filtering Twitter mentions. Learn practical ML techniques and get inspired to apply them in your own projects.
Computing Professional Identity for the Economic Graph
Explore LinkedIn's Economic Graph: mapping connections between professionals, companies, jobs, skills, and knowledge to revolutionize the global workforce landscape.
Keep it Clean - Why Bad Data Ruins Projects and How to Fix It
Explore data quality issues in ML projects, their impact, and solutions. Learn to identify and fix bad data for improved project outcomes and performance.
Artificial Intelligence Reloaded - AI Apps in the Industry
Explore the comprehensive process of developing AI applications, from data gathering to deployment, and learn how AI is transforming software development in various industries.
3rd Party Data Burns
Explore third-party data analysis techniques, focusing on normalization, wildcards, and domain keys. Learn valuable lessons for effective red-teaming and data management.