#machine learning

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

Netlify

Talk: Charlie Gerard's Career Advice: Be intentional about how you spend your time and effort

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

Shopify

Talk: Games Are Smarter Than Us

Roy Derks

Vandebron

Talk: Leveraging LLMs to Build Intuitive AI Experiences With JavaScript

Shivay Lamba

TensorFlowJS Working Group Lead

Talk: Leveraging LLMs to Build Intuitive AI Experiences With JavaScript, 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

Microsoft

Talk: Dabl: Automatic Machine Learning with a Human in the Loop

Thomas Wolf

HuggingFace

Talk: An Introduction to Transfer Learning in NLP and HuggingFace

Beril Sirmacek

Jonkoping University & the Owner of Create4D

Talk: Computer Vision Using OpenCV

Laurence Moroney

Google

Talk: Teaching ML and AI to Coders

Haifeng Jin

Keras Team at Google

Talk: Boost Productivity with Keras Ecosystem

Shivani Poddar

Facebook

Talk: How to Machine Learn-ify any Product

Marco Gorelli

Samsung R&D Institute UK

Talk: Never Have an Unmaintainable Jupyter Notebook Again!

Jayeeta Putatunda

Indellient US Inc.

Talk: Power of Transfer Learning in NLP: Build a Text Classification Model Using BERT

Mikhail Burtsev

DeepPavlov.ai

Talk: DeepPavlov Agent: Open-source Framework for Multiskill Conversational AI

Dipanjan Sarkar

Applied Materials

Talk: Deep Transfer Learning for Computer Vision

Håkan Silfvernagel

Miles AS

Talk: Machine Learning on the Edge Using TensorFlow Lite

Robert Plummer

iFit

Talk: The Evolution Revolution

Frans van Dunné

ixpantia

Talk: Processing Robot Data at Scale with R and Kubernetes

Yama Anin Aminof

MyPart

Talk: Can You Sing with All the Voices of the Features?

Javier Alcaide Pérez

Bluetab Solutions

Talk: Browser Session Analytics: The Key to Fraud Detection

Bernhard Suhm

MathWorks

Talk: Broadening AI Adoption with AutoML

Sachin Dangayach

Applied Materials

Talk: Deep Transfer Learning for Computer Vision

Alyona Galyeva

LINKIT

Talk: The Hitchhiker's Guide to the Machine Learning Engineering Galaxy

Dmitry Soshnikov

Microsoft

Talk: Introduction to Machine Learning on the Cloud

Sangeetha KP

Amazon

Talk: ML on the Edge

Jesse Hall

MongoDB

Talk: Let AI Be Your Docs

Maya Shavin

Microsoft

Talk: Coffee Chat With Documentation, Are You Ready?

Allan Enemark

NVIDIA | Data Visualization

Talk: GPU Accelerating Node.js Web Services and Visualization with RAPIDS

Nico Martin

GDE in Web Technologies

Talk: useMachineLearning… and Have Fun with It!

Ziv Levy

Wix

Talk: Come On Barbie, Let’s Go Party: Using AI for Music Mixing

Stephen Belanger

Datadog

Talk: Observability with diagnostics_channel and AsyncLocalStorage

Jaxon Repp

HarperDB

Talk: Scaling Distributed Machine Learning, to the Edge & Back

Denis Kondratev

Playrix

Talk: Machine Learning in Game Development

Mesut Durukal

Indeed

Talk: The Future is Today: Leveraging AI in Software Testing

Rashmi Nagpal

Cactus

Talk: Build Intelligence at the Edge - Machine Learning with React Native

Dylan Ebert

Hugging Face

Talk: Forget Polygons – Gaussian Splats, the New Approach to Photorealistic 3D Graphics

Andreia Ocanoaia

Genezio

Talk: Can LLMs Learn? Let’s Customize an LLM to Chat With Your Own Data