Research Methods Courses

Sundeep Saradhi Kanthety

Array Methods in JavaScript

Explore essential JavaScript array methods including join, sort, reverse, shift, unshift, push, pop, splice, slice, and concat. Master manipulating and transforming arrays efficiently.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Sundeep Saradhi Kanthety

List Methods - Python Programming

Explore Python list methods including building, counting, indexing, inserting, and removing elements for efficient data manipulation and management.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

TED-Ed

The Promise of Research with Stem Cells

Explore the potential of lab-grown stem cells in disease research and personalized medicine, as advocated by Susan Solomon in her compelling TED talk.

• YouTube
• 16 minutes
• Self-Paced
• Conference Talk

ExcelIsFun

Basic Excel Business Analytics - Basic Forecasting Methods & Measures of Forecast Error

Explore essential forecasting techniques and error measures in Excel, including Naïve Method, Moving Average, and Exponential Smoothing. Learn to calculate and interpret forecast accuracy metrics for improved business analytics.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

David Shapiro ~ AI

Alignment Research- GPT-3 vs GPT-NeoX - Which One Understands AGI Alignment Better?

Explore the potential risks and unintended consequences of various AI objective functions, including minimizing suffering, maximizing freedom, and pursuing economic growth, in the context of AGI development.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Bioinformagician

Bioinformatics and Computational Biology - The Present Gateway to Research

Comprehensive overview of bioinformatics and computational biology, covering research fields, career paths, applications, job prospects, and educational opportunities for aspiring professionals in this cutting-edge domain.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Automate Stocks and Crypto Research with Python and Deep Learning - Full Python Project

Learn to automate stock and crypto research using Python, web scraping, and deep learning. Build a pipeline to gather, summarize, and analyze financial news for various assets.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Transformer Memory as a Differentiable Search Index - Machine Learning Research Paper Explained

Explore a novel approach to information retrieval using a single Transformer model that encodes corpus information in its parameters, enabling direct query-to-document mapping without external indices.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Sparse Is Enough in Scaling Transformers - ML Research Paper Explained

Detailed explanation of Scaling Transformers and Terraformer architecture, focusing on leveraging sparsity to improve efficiency and speed in large language models while maintaining accuracy.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Learning Rate Grafting: Transferability of Optimizer Tuning - Machine Learning Research Paper Review

Explore grafting technique for transferring learning rate schedules between optimizers, improving deep learning model performance and reducing computational costs in hyperparameter tuning.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Gradients Are Not All You Need - Machine Learning Research Paper Explained

Explores limitations of differentiable programming in machine learning, focusing on chaos-based failures in various systems. Discusses alternatives to backpropagation for gradient estimation in complex, stochastic environments.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Autoregressive Diffusion Models - Machine Learning Research Paper Explained

Explore Autoregressive Diffusion Models, a novel approach combining autoregressive and diffusion models for efficient, order-agnostic generation and compression of text and image data.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Topographic VAEs Learn Equivariant Capsules - Machine Learning Research Paper Explained

Explore Topographic VAEs: a novel approach to deep generative models with organized latent variables, bridging topographic organization and equivariance in neural networks for improved feature learning and transformation handling.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

tinyML

Hardware Aware Training for Efficient Keyword Spotting - tinyML Research Symposium 2021

Explore hardware-aware training for efficient keyword spotting, focusing on Legendre Memory Unit networks to achieve state-of-the-art accuracy and power efficiency on various hardware platforms.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

tinyML

A Review of Compression Methods for Deep Convolutional Neural Networks

Explore compression techniques for Convolutional Neural Networks, including pruning, distillation, and quantization, to optimize deployment on tinyML devices without compromising accuracy.

• YouTube
• 58 minutes
• Self-Paced
• Free Video