Работа с материалами ДЗЗ из космоса - Часть 3
Освойте передовые методы обработки и анализа космических снимков для решения задач дистанционного зондирования Земли.
Дистанционное зондирование - 12.10.2023
Изучите основы дистанционного зондирования и его применение в геологии и нефтегазовых технологиях. Повысьте свою квалификацию в этой перспективной области.
M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training for Video-text Retrieval
Explore cutting-edge techniques in multi-modal pre-training for zero-shot video-text retrieval, focusing on adaptation-based methods and efficient implementation strategies.
CFIR: Fast and Effective Long-Text to Image Retrieval for Large Corpora
Discover innovative techniques for efficient long-text to image retrieval systems, focusing on fast and effective methods for handling large-scale multimedia databases.
Blogger SEO Tutorial
Learn essential SEO techniques for Blogger, including keyword research, post optimization, analytics integration, and sitemap submission to major search engines. Boost your blog's visibility and traffic.
Large Language Models for Real-World Applications
Explore real-world applications of large language models in this visual overview, covering image captioning, question answering, text generation, and more. Learn about NLP technologies and their potential in various business domains.
Introduction to Generative Art with Stable Diffusion
Explore stable diffusion for generative art with Hunter Kempf. Learn model architecture, ethical considerations, practical applications, query optimization, and future developments in AI-driven visual creativity.
Underspecification Presents Challenges for Credibility in Modern Machine Learning - Paper Explained
Explores underspecification in ML pipelines, where models with similar training performance behave differently in real-world deployment, leading to instability and poor outcomes across various domains.
Keynote: Ross Girshick - Robustness Across the Data Abundance Spectrum
Explore robustness in computer vision across data abundance scenarios, addressing benchmarking challenges and efficient learning for diverse object categories using federated dataset design.
SEO for Beginners - How to Rank #1 in Google Fast in 2023
Learn effective SEO techniques to rank #1 on Google quickly. Covers keyword research, page structure, content creation, image optimization, titles, descriptions, internal linking, and performance tracking.
On Page SEO Tutorial for Small Businesses - 11 Simple Ways to Boost Your Rankings
Learn 11 simple on-page SEO techniques to boost your small business website's rankings in local search results. Covers essential elements like titles, content, images, and more for improved visibility.
Building an Image Search Service from Scratch - Matthew Rubashkin, PhD - ODSC West 2018
Learn to build a semantic image search model from scratch, covering representation techniques for image and text data, and efficient similarity search methods for datasets of any size.
Bias in the Vision and Language of Artificial Intelligence
Explore bias in AI vision and language with Margaret Mitchell, focusing on ethical concerns, societal impacts, and strategies for developing more inclusive and fair artificial intelligence systems.
Image Processing with OpenCV and Python
Learn image processing in Python using matplotlib and OpenCV. Covers reading, manipulating, and saving images, with practical examples for computer vision and data science applications.
How to Write the Perfect Article - On Page SEO
Learn step-by-step techniques for optimizing articles to rank higher on search engines, drive organic traffic, and improve on-page SEO. Covers title creation, content structure, image optimization, and meta descriptions.
Apply LIME to Explain, Trust, and Validate Your Predictions for Any ML Model
Learn to implement LIME for explaining ML model predictions, with hands-on exercises using image classification models and custom Python implementations.
A Very First Look at H2O Hydrogen Torch
Explore H2O Hydrogen Torch: a no-code deep learning tool for diverse AI tasks. Learn its capabilities, experiment as novice and expert, and understand prediction pipelines and deployment options.
Why Do Our Models Learn?
Exploring biases in ImageNet and their impact on machine learning models, discussing dataset creation processes and their consequences for real-world applications of AI.
Deep Learning Day - Advances in Theory, Systems, and Applications
Comprehensive exploration of deep learning featuring expert talks on scaling, debugging, and advanced techniques. Covers theoretical foundations and practical applications across various domains.
SIGCOMM 2020 - Reducto - On-Camera Filtering for Resource-Efficient Real-Time Video Analytics
Explore real-time video analytics optimization with Reducto, a filtering technique for efficient on-camera processing. Learn about system design, performance results, and practical applications.
Deep Internal Learning - Deep Learning with Zero Examples
Explore deep learning without external data, focusing on internal learning for tasks like super-resolution and image segmentation. Discover innovative approaches and their applications in various domains.