A deep learning researcher shares insights on the 2022 ML job market, comparing career options like FAANG, startups, and robotics, after joining Halodi Robotics.
Explores synthetic data generation methods like augmentation and pretrained models to overcome limited training data in machine learning.
Explores counterfactual evaluation as an alternative to A/B testing for offline assessment of recommendation systems.
A data scientist shares a structured approach to starting data science projects, focusing on business goals, requirements, and avoiding common pitfalls.
A $10,000 charity bet on whether fully autonomous (Level 5) self-driving cars will be commercially available in major US cities by 2030.
Casey Liss releases MaskerAid, an indie app that uses machine learning to quickly add emoji over faces in images.
Announcing a new book on machine learning, covering fundamentals with scikit-learn and deep learning with PyTorch, including neural networks from scratch.
Author announces a new machine learning book covering scikit-learn, deep learning with PyTorch, neural networks, and reinforcement learning.
Explores active learning strategies for selecting the most valuable data to label when working with a limited labeling budget in machine learning.
A developer built a program that uses webcam emotion detection to send cat pictures to their phone when they're sad at the computer.
A technical guide on deploying a DistilBERT model to production using Hugging Face Transformers, Amazon SageMaker, and Infrastructure as Code with Terraform.
Explains data annotation, its importance for training machine learning models, and details common text and image annotation types.
Final part of a series proposing a research agenda for ML monitoring, focusing on data management challenges like metric computation and real-time SLI tracking.
A developer builds a Figma plugin prototype using TensorFlow.js and hand gesture recognition to control UI design with hand movements.
Practical strategies for staying current in the fast-moving field of machine learning, including project experimentation and community engagement.
A comprehensive collection of 90 machine learning lecture videos covering Python, scikit-learn, algorithms, and model evaluation techniques.
A comprehensive list of 90 machine learning lecture videos covering topics from Python basics to advanced ML concepts like decision trees and Bayesian methods.
Introducing PairwiseDistancesReduction, a new Cython-based abstraction in scikit-learn for high-performance CPU computations of reductions over pairwise distances.
Guide to deploying Hugging Face Transformer models using Amazon SageMaker Serverless Inference for cost-effective ML prototypes.
Explains ongoing developer efforts to dramatically improve scikit-learn's performance, focusing on hardware scalability and algorithmic optimizations.
