Merge pull request #546 from microbit-foundation/545-update-homepage-to-link-to-the-mathml-machineorg

545 update homepage to link to the mathml machineorg

Author: Karlo-Emilo

features.json

@@ -3,4 +3,4 @@
   "knnModel": true,
   "lossGraph": true,
   "makecode": true
-}
+}

public/imgs/data_rep_viz.png

@@ -15,15 +15,14 @@
   "content.index.recordButtonDescription": "\"Optag\"-knap",
   "content.index.videoHeading": "Introvideo",
   "content.index.setupBody2": "Hjemmesiden benytter bluetooth, accelerometer, LED'er, knapper og lyd fra BBC micro:bit'en. For at hjemmesiden kan tilgå disse, skal der overføres et program til BBC micro:bit'en. Det downloades første gang, du tilslutter BBC micro:bit'en med USB. Efterfølgende kan du blot tilslutte med bluetooth uden at bruge USB-kablet.",
-  "content.index.oldVersion": "Du kan finde den gamle version her:",
+  "content.index.mathVersion": "Du kan finde den den udvidede version her:",
   "content.index.contactButton": "Kontakt os",
   "content.index.contactBody": "Hvis du finder fejl og mangler på denne platform, skal du være velkommen til at skrive til os. Hvis du har andre efterspørgsler, ideer eller generel interesse, skal du være velkommen til at kontakte os. Skaberne af denne platform kan kontaktes på:",
   "content.index.contactBodyGithub": "Du kan også besøge vores Github side:",
   "content.index.contactMail": "[email protected]",
   "content.index.acknowledgement": "Udviklet af Center for Computational Thinking og Design, Aarhus Universitet",
-  "content.index.newzHeading": "Nyheder",
-  "content.index.newzBodyMakecode": "Du kan nu programmere omkring outputtet fra dine modeller i MakeCode. See den øverste på modelsiden.",
-  "content.index.newzBodyViz": "Vi har fået en visualisering af datarepreæsentationen.",
+  "content.index.newzHeading": "Prøv den udvidede version",
+  "content.index.newzBodyMakecode": "Vi har lavet en mere kompleks version, der blandt andet lader dig vælge datarepræsentationer og visualiserer en k-nærmeste naboer model.",
   "content.index.MLHeading": "Hvordan virker det?",
   "content.index.MLSubheading": "ML-Machine bygger machine learning modeller til at genkende mønstre i accelerometer data.",
   "content.index.MLExplainer1": "Med ML-Machine kan du kuratere data eksempler af forskellige bevægelser og gestikker, som en machine learning algoritme analyserer. Den finder mønstre i dataen som kan bruges til at forudsige/gætte om micro:bit’en bliver bevæget i cirkler, ryster, er tapet til benet af en person som hopper, m.m.",

public/imgs/math_version.png

@@ -15,15 +15,14 @@
   "content.index.recordButtonDescription": "\"Record\"-button",
   "content.index.videoHeading": "Intro Video",
   "content.index.setupBody2": "The website utilizes the bluetooth, accelerometer, LEDs, buttons, and sounds from the Micro:bit. Subsequetnly, you can connect the micro:bit to your computer via bluetooth without using the USB cable.",
-  "content.index.oldVersion": "You can finde the old version here:",
+  "content.index.mathVersion": "You can finde the expanded version here:",
   "content.index.contactButton": "Contact us",
   "content.index.contactBody": "If you find errors and omissions on this platform, please feel free to write us. If you have any other requests, ideas or general interests, please feel free to contact us. The creators of this platform can be contacted at:",
   "content.index.contactBodyGithub": "You can also visit our Github page:",
   "content.index.contactMail": "[email protected]",
   "content.index.acknowledgement": "Developed by Center for Computational Thinking and Design, Aarhus University",
-  "content.index.newzHeading": "News",
-  "content.index.newzBodyMakecode": "You can now program around your model's output in MakeCode. See top bar on model page.",
-  "content.index.newzBodyViz": "We now have a vizualization of the data representaion.",
+  "content.index.newzHeading": "Try the expanded version",
+  "content.index.newzBodyMakecode": "We have created an expanded version that, among other things, lets you modify the data representation and visualizes a k-nearest neighbor model.",
   "content.index.MLHeading": "How does it work?",
   "content.index.MLSubheading": "ML-Machine builds machine learning models to recognize patterns in the accelerometer data.",
   "content.index.MLExplainer1": "With ML-Machine, you curate data samples of different gestures or movements, which a machine learning algorithm analyzes. It finds patterns in the data that can be used to predict/guess if the micro:bit is moved in circles, shaken, taped to the leg of the person jumping, etc.",

src/messages/ui.da.json

@@ -39,10 +39,3 @@
 <p>
   {$t('content.index.setupBody2')}
 </p>
-<br />
-<p>
-  {$t('content.index.oldVersion')}
-  <a class="text-link hover:underline" href="https://www.v0.ml-machine.org/">
-    v0.ml-machine.org
-  </a>
-</p>

src/messages/ui.en.json

@@ -13,21 +13,17 @@
 <p>
   {$t('content.index.newzBodyMakecode')}
 </p>
-<div class="flex justify-center">
-  <ImageSkeleton
-    alt="microbit guide"
-    height={200}
-    src="/imgs/Makecode_integration.png"
-    width={200} />
-</div>
-<p class="mt-4 mb-5">
-  <a class="text-link hover:underline" href="/training/filters"
-    >{$t('content.index.newzBodyViz')}</a>
-</p>
+<br />
 <div class="flex justify-center">
   <ImageSkeleton
     alt="One of the new visualizations"
-    height={200}
-    src="/imgs/data_rep_viz.png"
-    width={250} />
+    src="/imgs/math_version.png"
+    width={350} />
 </div>
+<br />
+<p>
+  {$t('content.index.mathVersion')}
+  <a class="text-link hover:underline" href="https://www.math.ml-machine.org/">
+    math.ml-machine.org
+  </a>
+</p>