
Explore Azure's AI options for data science, weighing considerations and practical applications to make informed decisions about implementing AI in your organization.

Explore deep learning and NLP using Spark, focusing on LSTM neural networks for complex language tasks. Includes real-time visualizations and Spark Notebook demonstrations.

Explore Go developer community trends, metrics, and insights using data mining techniques and machine learning to understand adoption patterns and competitive landscape.

Uncover the mystery behind @horse_js through data analysis, machine learning, and Azure tools in this entertaining and informative JSConf presentation.

Explore building intelligent bots using Microsoft Bot Framework and Cognitive Services. Learn to create insightful conversations, integrate AI, and enhance user interactions in your applications.

Discover how to leverage Microsoft's Cognitive Services to build smart apps with AI capabilities, including computer vision, language understanding, and speech recognition.

Discover real-time monitoring techniques for public safety during major events using Maltego Monitor's AI-powered sentiment analysis and threat detection capabilities.

Discover advanced techniques for analyzing social media data to predict election outcomes using computational methods and Twitter sentiment analysis.

Explore advanced techniques for mining public opinion from Twitter data to analyze political sentiment and create accurate political barometers in the digital age.

Explore market basket analysis and sentiment analysis for identifying cross-selling opportunities and understanding client needs in this data science presentation.

Explore the Hugging Face Transformers library for easy, cost-free use of open-source language models. Learn sentiment analysis, summarization, and build a chatbot UI with Gradio.

Learn to fine-tune large language models with practical Python examples. Explore techniques like LoRA for efficient parameter tuning and implement a text classification model using distilBERT.

Explore Azure's Language Studio for text analysis, focusing on keyword extraction, sentiment analysis, and opinion mining. Apply these tools to customer reviews using Python and visualize in Power BI.

Desarrolla análisis de sentimientos con ML.Net SDK en C#. Aprende a implementar machine learning para procesar y clasificar texto en español.

Explore NLP-based toxicity detection for community management, including implementation, long-term value calculation, and impact on open-source project reputation.

Deploy Wasm workloads on Kubernetes using SpinKube and Rancher Desktop. Create a Spin app, run it locally, and leverage cloud GPUs for AI inference deployment on KillerCoda.

Learn to configure and use Camunda Hugging Face Connector for analyzing customer sentiment in BPMN processes. Integrate machine learning to improve customer interactions and automate decision-making based on sentiment analysis.

Explore 5 Python AI projects from beginner to advanced, with code samples and implementation guidance. Learn sentiment analysis, image classification, voice assistants, recommendation systems, and AI agents.

Explore Fox's innovative use of custom LLMs for personalized media content, including video transcription insights, semantic search, and curated recommendations, revolutionizing digital engagement.

Discover how to automate Excel, CSV, and Google Sheets tasks using Claude AI. Learn to categorize comments, translate languages, generate descriptions, and perform sentiment analysis effortlessly.

Streamline customer inquiry handling with machine learning: Automatically analyze sentiment, route messages, and reduce processing time from 13 minutes to 1.6 seconds using Camunda's Hugging Face Connector.