Learning What You Don't Know by Virtual Outlier Synthesis - Paper Explained
Explore Virtual Outlier Synthesis, a novel method for improving out-of-distribution detection in deep learning models by generating synthetic outliers during training to enhance decision boundary regularization.
LSTM Time Series Prediction Tutorial Using PyTorch in Python - Coronavirus Daily Cases Forecasting
Learn to forecast Coronavirus cases using LSTM and PyTorch. Covers data preprocessing, model building, training, evaluation, and future predictions with real-world time series data.
Build Your First Model with PyTorch and Python - PyTorch Tutorial for Beginners
Learn to implement a Simple Linear Regression model using PyTorch, covering data exploration, model creation, tensor conversion, training, and prediction analysis in this beginner-friendly tutorial.
Getting Started with PyTorch Lightning for Deep Learning
Explore PyTorch Lightning for easier Deep Learning projects, using Google's GoEmotions dataset to build an emotion classification model with practical coding examples.
SQL Server Reporting Services - Data Analysis Beginner Tutorial
Learn to create, configure, and deploy data-driven reports using SQL Server Reporting Services. Master data sources, datasets, and paginated reports in both Report Builder and Visual Studio.
Real-World Python Machine Learning Tutorial With Scikit Learn
Comprehensive Python machine learning tutorial covering sentiment analysis using scikit-learn, from data preparation to model evaluation and optimization, with practical examples using Amazon reviews.
Machine Learning in R - Repurpose Machine Learning Code for New Data
Learn to adapt machine learning code in R for new datasets. Explore data understanding, visualization, and model building techniques using the DHFR dataset as an example.
SQL Server Reporting Services - Data Analysis Advanced Tutorial
Explore advanced SQL Server Reporting Services techniques for data analysis, including filters, parameters, visualizations, and map creation to enhance your reporting capabilities and meet evolving business needs.
Semantic Search for AI - Testing Out Qdrant Neural Search
Explore semantic search implementation using Qdrant, covering Docker setup, data cleaning, microservice creation, and leveraging sentence embeddings for improved AI-powered search capabilities.
AI Jobpocalypse: How Tech Like ChatGPT Will Impact Your Life by 2030 and What to Do About It
Explore AI's impact on jobs by 2030, analyzing historical trends, potential job losses, and philosophical perspectives. Learn strategies to navigate the changing workforce landscape.
SQL Server Reporting Services - Data Analysis Expert Tutorial
Comprehensive tutorial on SQL Server Reporting Services, covering data summarization, report sharing, and administration. Learn to create interactive reports, implement caching, set up subscriptions, and monitor performance.
Probabilistic Deep Learning in TensorFlow - The Why and How - ODSC Europe 2019
Explore probabilistic deep learning in TensorFlow, focusing on Bayesian techniques, uncertainty modeling, and practical applications using TensorFlow Probability for more robust and interpretable neural networks.
Power of Active Sampling for Unsupervised Learning
Explore active sampling techniques for unsupervised learning, focusing on matrix completion, graphical models, and clustering. Learn about statistical tradeoffs and computational complexity.
Continuous Algorithms - Sampling and Optimization in High Dimension
Explore high-dimensional sampling and optimization techniques, including cutting plane methods, interior-point algorithms, and Riemannian Hamiltonian Monte Carlo, with insights on complexity and open problems.
Deep Learning of Dynamics and Coordinates with SINDy Autoencoders
Discover effective coordinate systems and models simultaneously using SINDy autoencoders, a novel approach for analyzing high-dimensional data in dynamical systems.
Principal Component Analysis - PCA, Step-by-Step
Step-by-step guide to Principal Component Analysis (PCA), explaining its importance in data analysis and machine learning. Covers 2D and 3D data examples, PC calculation, and interpretation of results.
SQL Server Reporting Services - Data Analysis Tutorial
Comprehensive tutorial on SQL Server Reporting Services, covering data analysis, report creation, visualization, and administration. Learn to design, deploy, and manage interactive reports for various platforms.
Neural Nets for NLP - Debugging Neural Nets
Practical strategies for identifying and resolving issues in neural networks for NLP, covering training and test-time problems, model architecture, and data analysis.
Neural Nets for NLP - Debugging Neural Nets for NLP
Practical strategies for debugging and optimizing neural networks in NLP, covering issues like training, overfitting, initialization, and evaluation metrics.
Neural Nets for NLP 2017 - Adversarial Learning
Explore adversarial learning in NLP, covering generative adversarial networks, feature vs. output adversaries, discrete outputs, and applications to language tasks.
Topic Modeling Workshop for Beginners in Python
Learn topic modeling in Python using Gensim, spaCy, and NLTK. Covers data preparation, exploratory analysis, tokenization, LDA modeling, and evaluation techniques for beginners.