spelling updates

.wordlist.txt

@@ -4210,4 +4210,29 @@ iperf
 normals
 svcntb
 svmatch
-tc
+tc
+Alexa
+BLERP
+Cepstral
+Datagram
+Edudzi
+GDPR
+Gbit
+Gershon
+HIPAA
+HVAC
+Kordorwu
+MCUs
+MFCC
+Mbit
+PDM
+Situnayake
+accelerometers
+iPerf
+libcrypto
+libray
+libssl
+misclassification
+retransmission
+subquery
+uninstrumented

content/learning-paths/embedded-and-microcontrollers/Egde/Software_Edge_Impulse.md

@@ -59,7 +59,7 @@ Follow the exact settings in the attached snapshot to complete the configuration
 
 With your device configured, the next step is to **add your dataset** to the project. Click on the **"Add existing data"** button and follow the configuration settings shown in the attached snapshot. This allows you to upload pre-recorded data instead of collecting it live, which can save time during the development phase.
 
-The dataset for this project can be downloaded from the following link: [Download Dataset](https://github.com/e-dudzi/Learning-Path.git). The Dataset has already been splitted into **trainig** and **testing**.
+The dataset for this project can be downloaded from the following link: [Download Dataset](https://github.com/e-dudzi/Learning-Path.git). The Dataset has already been split into **training** and **testing**.
 
 ![example image alt-text#center](Images/6.png "Figure 4. Add Existing Data")
 

content/learning-paths/embedded-and-microcontrollers/Egde/_index.md

@@ -16,7 +16,7 @@ learning_objectives:
     - Interface with LEDs to switch them on and off . 
 
 prerequisites:
-    - Explore this [learning path](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/arduino-pico/) if you are an absolute beginer.
+    - Explore this [learning path](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/arduino-pico/) if you are an absolute beginner.
     - An [Edge Impulse](https://edgeimpulse.com/) Studio account. 
     - The [Arduino IDE with the RP2040 board support package](https://learn.arm.com/install-guides/arduino-pico/) installed on your computer 
     - An Arduino Nano RP2040 Connect [board](https://store.arduino.cc/products/arduino-nano-rp2040-connect-with-headers?_gl=1*9t4cti*_up*MQ..*_ga*NTA1NTQwNzgxLjE3NDYwMjIyODk.*_ga_NEXN8H46L5*MTc0NjAyMjI4Ny4xLjEuMTc0NjAyMjMxOC4wLjAuMjA3MjA2NTUzMA..). 

content/learning-paths/embedded-and-microcontrollers/_index.md

@@ -10,7 +10,7 @@ key_ip:
 maintopic: true
 operatingsystems_filter:
 - Android: 1
-- Baremetal: 29
+- Baremetal: 30
 - Linux: 28
 - macOS: 6
 - RTOS: 9
@@ -29,7 +29,7 @@ subtitle: Learn best practices for microcontroller development
 title: Embedded and Microcontrollers
 tools_software_languages_filter:
 - AI: 1
-- Arduino: 1
+- Arduino: 2
 - Arm Compiler for Embedded: 7
 - Arm Compiler for Linux: 1
 - Arm Compute Library: 1
@@ -51,6 +51,8 @@ tools_software_languages_filter:
 - DetectNet: 1
 - Docker: 9
 - DSTREAM: 2
+- Edge AI: 1
+- Edge Impulse: 1
 - ExecuTorch: 2
 - Fixed Virtual Platform: 9
 - FPGA: 1
@@ -88,7 +90,7 @@ tools_software_languages_filter:
 - STM32: 2
 - TensorFlow: 3
 - TensorRT: 1
-- tinyML: 1
+- tinyML: 2
 - Trusted Firmware: 3
 - TrustZone: 2
 - TVMC: 1

content/learning-paths/servers-and-cloud-computing/_index.md

@@ -8,7 +8,7 @@ key_ip:
 maintopic: true
 operatingsystems_filter:
 - Android: 2
-- Linux: 146
+- Linux: 147
 - macOS: 10
 - Windows: 14
 pinned_modules:
@@ -23,7 +23,7 @@ subjects_filter:
 - Databases: 15
 - Libraries: 9
 - ML: 27
-- Performance and Architecture: 56
+- Performance and Architecture: 57
 - Storage: 1
 - Web: 10
 subtitle: Optimize cloud native apps on Arm for performance and cost
@@ -54,7 +54,7 @@ tools_software_languages_filter:
 - Bash: 1
 - bash: 2
 - Bastion: 3
-- BOLT: 1
+- BOLT: 2
 - bpftool: 1
 - C: 4
 - C#: 2
@@ -98,7 +98,7 @@ tools_software_languages_filter:
 - Hugging Face: 9
 - InnoDB: 1
 - Intrinsics: 1
-- iperf3: 1
+- iPerf3: 1
 - Java: 3
 - JAX: 1
 - Kafka: 1
@@ -127,7 +127,7 @@ tools_software_languages_filter:
 - ONNX Runtime: 1
 - OpenBLAS: 1
 - PAPI: 1
-- perf: 4
+- perf: 5
 - Perf: 1
 - PostgreSQL: 4
 - Python: 27
@@ -136,7 +136,7 @@ tools_software_languages_filter:
 - Redis: 3
 - Remote.It: 2
 - RME: 6
-- Runbook: 70
+- Runbook: 71
 - Rust: 2
 - snappy: 1
 - Snort3: 1

content/learning-paths/servers-and-cloud-computing/sve2-match/_index.md

@@ -8,10 +8,11 @@ who_is_this_for: This is an introductory topic for database developers, performa
 
 
 learning_objectives:
-  - Understand the purpose and function of SVE2 MATCH instructions
-  - Implement a search algorithm using both scalar and SVE2-based MATCH approaches
-  - Benchmark and compare performance between scalar and vectorized implementations
-  - Analyze speedups and efficiency gains on Arm Neoverse-based Graviton4 instances
+  - Understand the purpose and function of SVE2 MATCH instructions.
+  - Implement a search algorithm using both scalar and SVE2-based MATCH approaches.
+  - Benchmark and compare performance between scalar and vectorized implementations.
+  - Analyze speedups and efficiency gains on Arm Neoverse-based Graviton4 instances.
+
 prerequisites:
 - Access to an [Arm-based instance](/learning-paths/servers-and-cloud-computing/csp/) from a supported cloud service provider