From b3c2a978a93f92173e6bddb68aabdf5f4369c970 Mon Sep 17 00:00:00 2001 From: zeus Date: Mon, 6 Dec 2021 23:57:37 +0200 Subject: [PATCH] tech list --- tech-list/modules/ROOT/pages/index.adoc | 32 +++++++++++++++++++++++++ 1 file changed, 32 insertions(+) diff --git a/tech-list/modules/ROOT/pages/index.adoc b/tech-list/modules/ROOT/pages/index.adoc index c2c66ec..a1edf55 100644 --- a/tech-list/modules/ROOT/pages/index.adoc +++ b/tech-list/modules/ROOT/pages/index.adoc @@ -284,6 +284,38 @@ TenforFlow’s visualization library is called TensorBoard. |=== +=== Reasons to learn machine learning with JavaScript + +==== +*Private machine learning* + +Most machine learning applications rely on client-server architectures. Users must send their data where the machine learning models are running. + +Machine learning models on your device without sending any data to the cloud. + +And you don’t need to install any additional software. + +Powerful JavaScript machine learning libraries: + +* https://ml5js.org/[ml5js^] + +* http://caza.la/synaptic/#/[synaptic^] + +* https://brain.js.org/#/[brain^] + + +*Easy integration of machine learning in web and mobile applications* + +Python support in mobile operating systems is still in the preliminary stages. + +Javascript has a rich set of cross-platform mobile app development tools such as Cordova and Ionic + + +TIP: Machine learning with Node.js is fairly new, but it is fast evolving because there is growing interest in adding machine learning capabilities to web and mobile applications. + + +==== + == Auth