
Explore Haystack's new document store with hands-on demos covering initialization, document management, QA pipeline, and metadata filtering for efficient information retrieval.

Explore Faiss indexes for efficient similarity search, comparing Flat, LSH, HNSW, and IVF to optimize performance in large-scale datasets. Learn to choose and implement the best index for your needs.

Explore digital twin technology's impact on education and training through expert presentations on management qualification, augmented reality, virtual learning, and industrial automation applications.

Comprehensive mock data science interview covering bot detection on social media, featuring behavioral questions, feature selection, model implementation, dataset creation, and technical details.

Learn web scraping with Python to create a Disney movie dataset, covering BeautifulSoup, data cleaning, APIs, and various Python libraries for real-world data science tasks.

Learn to generate realistic mock sales data using Python libraries like NumPy, Pandas, and Datetime. Create datasets with varied product purchases, timestamps, and addresses for data science practice.

Learn to create and customize line graphs and bar charts using Matplotlib in Python, covering essential visualization techniques like styling, scaling, and annotating plots.

Learn to build a data science portfolio website using Hugo and host it on Hostinger. Covers site creation, customization, and cloud deployment for showcasing your skills and achievements effectively.

Learn advanced Streamlit techniques for building Python web apps. Covers tips, tricks, components, and automation with Google Sheets and Firebase to enhance app functionality and user experience.

Learn to build a Speech-to-Text Transcription App using AssemblyAI API and Streamlit. Create a command-line tool and web app to transcribe YouTube videos with Python.

Comprehensive tutorial on Python Pandas for data science, covering data loading, manipulation, analysis, and advanced techniques for handling large datasets.

Comprehensive tutorial on pseudo-bulk analysis for single-cell RNA-Seq data, covering the what, why, and how. Includes data manipulation, aggregation, and differential expression analysis using R, Seurat, and DESeq2.

Comprehensive tutorial on integrating single-cell RNA-Seq datasets using Seurat in R, covering data merging, batch effect correction, and visualization techniques for improved analysis.

Comprehensive tutorial on analyzing single-cell RNA-Seq data using Seurat in R, covering data processing, quality control, normalization, dimensionality reduction, and clustering for genomics research.

Learn to visualize gene expression data using R and ggplot2. Create barplots, density plots, boxplots, scatterplots, and heatmaps from RNA-Seq data. Hands-on tutorial for beginners in bioinformatics.

Learn to manipulate gene expression data from NCBI GEO using R and dplyr. Covers data reading, metadata retrieval, and essential dplyr functions for effective bioinformatics analysis.

Comprehensive bioinformatics walkthrough: analyze population genotype data using PCA/TSNE, from data acquisition to visualization, with practical coding in Python and Colab.

Lightning talks on RocksDB features: Lua compaction filters, read cache, statistics, iterator-assisted inserts, large value support, bulk loading, and more. Insights into performance improvements and advanced functionalities.

Discover how Adidas builds brand loyalty and customer evangelism through Facebook Groups, exploring community strategies and success stories in this insightful fireside chat.

Learn best practices and key insights for creating impactful brand experiences on Messenger, including technical aspects like Private Reply API and webhooks.

Explore effective customer communication strategies using email to boost app engagement, with practical examples and code samples for Parse apps.