#machine learning

Subscribe
Machine Learning is a subfield of Artificial Intelligence that enables computers to learn from data without being explicitly programmed. It involves the use of algorithms and statistical models to identify patterns in large datasets and make predictions or decisions based on them. In JavaScript, Machine Learning can be used for tasks such as natural language processing, image recognition, and predictive analytics.
Charlie Gerard
Charlie Gerard
Netlify
Talk: Charlie Gerard's Career Advice: Be intentional about how you spend your time and effort
Jason Mayes
Jason Mayes
Google
Talk: TensorFlow.js 101: ML in the Browser and Beyond, Hands on with TensorFlow.js, TensorFlow.JS 101: ML in the Browser and Beyond
Liad Yosef
Liad Yosef
Shopify
Talk: Games Are Smarter Than Us
Shivay Lamba
Shivay Lamba
TensorFlowJS Working Group Lead
Talk: Giving Superpowers to Your React Apps with Machine Learning, Machine Learning based Unit Tesing in JavaScript, Predictive Testing in JavaScript with Machine Learning, Using MediaPipe to Create Cross Platform Machine Learning Applications with React, Machine Learning in Node.js using Tensorflow.js
Andreas Müller
Andreas Müller
Microsoft
Talk: Dabl: Automatic Machine Learning with a Human in the Loop
Thomas Wolf
Thomas Wolf
HuggingFace
Talk: An Introduction to Transfer Learning in NLP and HuggingFace
Beril Sirmacek
Beril Sirmacek
Jonkoping University & the Owner of Create4D
Talk: Computer Vision Using OpenCV
Laurence Moroney
Laurence Moroney
Google
Talk: Teaching ML and AI to Coders
Haifeng Jin
Haifeng Jin
Keras Team at Google
Talk: Boost Productivity with Keras Ecosystem
Shivani Poddar
Shivani Poddar
Facebook
Talk: How to Machine Learn-ify any Product
Marco Gorelli
Marco Gorelli
Samsung R&D Institute UK
Talk: Never Have an Unmaintainable Jupyter Notebook Again!
Jayeeta Putatunda
Jayeeta Putatunda
Indellient US Inc.
Talk: Power of Transfer Learning in NLP: Build a Text Classification Model Using BERT
Mikhail Burtsev
Mikhail Burtsev
DeepPavlov.ai
Talk: DeepPavlov Agent: Open-source Framework for Multiskill Conversational AI
Dipanjan Sarkar
Dipanjan Sarkar
Applied Materials
Talk: Deep Transfer Learning for Computer Vision
Håkan Silfvernagel
Håkan Silfvernagel
Miles AS
Talk: Machine Learning on the Edge Using TensorFlow Lite
Robert Plummer
Robert Plummer
iFit
Talk: The Evolution Revolution
Frans van Dunné
Frans van Dunné
ixpantia
Talk: Processing Robot Data at Scale with R and Kubernetes
Yama Anin Aminof
Yama Anin Aminof
MyPart
Talk: Can You Sing with All the Voices of the Features?
Javier Alcaide Pérez
Javier Alcaide Pérez
Bluetab Solutions
Talk: Browser Session Analytics: The Key to Fraud Detection
Bernhard Suhm
Bernhard Suhm
MathWorks
Talk: Broadening AI Adoption with AutoML
Sachin Dangayach
Sachin Dangayach
Applied Materials
Talk: Deep Transfer Learning for Computer Vision
Alyona Galyeva
Alyona Galyeva
LINKIT
Talk: The Hitchhiker's Guide to the Machine Learning Engineering Galaxy
Dmitry Soshnikov
Dmitry Soshnikov
Microsoft
Talk: Introduction to Machine Learning on the Cloud
Sangeetha KP
Sangeetha KP
Amazon
Talk: ML on the Edge
Jan Tomes
Jan Tomes
prg.ai
Talk: Charlie Gerard's Career Advice: Be intentional about how you spend your time and effort
Allan Enemark
Allan Enemark
NVIDIA | Data Visualization
Talk: GPU Accelerating Node.js Web Services and Visualization with RAPIDS
Nico Martin
Nico Martin
GDE in Web Technologies
Talk: useMachineLearning… and Have Fun with It!
Stephen Belanger
Stephen Belanger
Datadog
Talk: Observability with diagnostics_channel and AsyncLocalStorage
Jaxon Repp
Jaxon Repp
HarperDB
Talk: Scaling Distributed Machine Learning, to the Edge & Back
Denis Kondratev
Denis Kondratev
My.Games
Talk: Machine Learning in Game Development
Mesut Durukal
Mesut Durukal
Indeed
Talk: The Future is Today: Leveraging AI in Software Testing
Rashmi Nagpal
Rashmi Nagpal
Cactus
Talk: Build Intelligence at the Edge - Machine Learning with React Native