Python PyTorch Quantum ML Ports and Models for Potential Medical Use
Explore quantum machine learning models using Python and PyTorch for medical applications. Learn to build and implement ports tailored for healthcare advancements.
QML/QiML Technology for Medical Regulatory Agency Review - November 9, 2023
Explore QML/QiML technology for medical regulatory review, covering key organizations, fundamental areas, and specific medical research applications. Gain insights into FDA guidelines and next steps.
Qiskit, PennyLane QML, and QiML Demos - Thanksgiving Eve
Explore Qiskit and PennyLane QML/QiML demos to improve runtimes, losses, and accuracies. Learn quantum computational building blocks and differentiable programming for medical R&D applications.
Live Python Demos - Generative Artificial Intelligence
Explore local hosting of generative AI models, comparing LLMs and LMMs for image processing, code generation, and multimodal tasks using various platforms and tools.
Torch.fx Explained - Accelerating ML Code with PyTorch
Explore PyTorch's torch.fx toolkit for accelerating ML code through symbolic tracing, program manipulation, and optimization of neural network modules.
Deep Dive: Formatting and Best Coding Practices in Python - Tutorial 21
Master Python coding best practices for clean, efficient, and maintainable machine learning solutions using Ivy. Learn essential principles for variables, functions, classes, and conventions.
Lightning Talks - EuroPython 2024
Explore diverse Python topics in rapid-fire talks, from matrix arithmetic and 3D modeling to garbage collection and presentation skills. Gain insights from experts in this engaging lightning talk session.
Google Cloud Real-Time Streaming - End-to-End Data Engineering Project
Build an end-to-end data engineering pipeline for real-time YouTube Analytics, using Python, Google Cloud, Docker, and Kafka. Learn to fetch, process, and stream data, with instant Telegram notifications.
Apache Airflow with Spark for Data Engineers - Full Course
Build end-to-end data engineering projects using Apache Airflow, Docker, Spark, and multiple programming languages. Learn to create and submit jobs to Spark clusters for processing and view real-time results.
Realtime Algorithmic Trading with Apache Flink - End-to-End Data Engineering Project
Develop an end-to-end algorithmic trading system using Apache Flink, Kafka, and Python. Learn real-time data processing, custom algorithms, and financial market insights.
Fraud Detection Use Case with Red Hat OpenShift Data Science
Explore hands-on fraud detection techniques using a practical GitHub repository, guided by experienced software engineers.
Predicting Healthcare Insurance Costs with Python - Real-World Data Science Problem Solving
Predict healthcare insurance costs using Python and machine learning. Clean data, visualize with pandas, and apply scikit-learn for linear regression in this hands-on tutorial with real-world data analysis.
Prompt Crafting 102 - Introduction to Langchain - February 24, 2024
Explore Langchain's innovative approach to language processing, combining AI models with tree-of-thought reasoning. Learn key features, applications, and integration techniques for enhanced AI capabilities.
Python: Finding Frequency Solutions for Variable Star Light Curves
Learn to measure frequencies in variable star light curves using Python and Pyriod. Explore periodograms, significance testing, and iterative prewhitening for astronomical data analysis.
Visualizing MESA Models with TULIPS - How to Python
Learn to visualize MESA stellar evolution models using TULIPS Python package. Create plots and animations showing changes in stars over time. Enhance understanding of stellar structure and evolution.
Introduction to Model Fitting - Gravitational Lensing and Graphical Modeling
Explore gravitational lensing model fitting techniques, from traditional methods to innovative graphical modeling, and learn about PyAutoFit for streamlined probabilistic programming.
AI Development for Non-Developers: Building a Simple GPT App in Python
Explore GPT model usage in a simple Python app, gaining insights into generative AI technologies and learning to create, deploy, and interact with AI models on Azure.
AI Innovations: The Power of Feature Platforms - MLOps Mini Summit
Explore feature platforms for production AI, including Tecton's unified approach, Cleo's custom solution, and DIY strategies for building scalable, flexible ML infrastructures.
Design and Development Principles for LLMOps - MLOps Podcast #254
Explore design and development principles for LLMOps with Andy McMahon. Learn about software engineering practices, new techniques, and the transition from MLOps to LLMOps in this insightful discussion.
Azure ML: Python SDK v2 - Creating Machine Learning Applications
Develop ML applications using Azure Machine Learning Studio Python SDK v2. Train models and publish to Azure ML model repository.
Python - OpenCV for Computer Vision
Learn to use OpenCV with Python for computer vision tasks. Process images and live video, create bounding boxes, and trigger events based on real-time input. Run locally for privacy on various systems.