computer-scienceangular-roadmapbackend-roadmapblockchain-roadmapdba-roadmapdeveloper-roadmapdevops-roadmapfrontend-roadmapgo-roadmaphactoberfestjava-roadmapjavascript-roadmapnodejs-roadmappython-roadmapqa-roadmapreact-roadmaproadmapstudy-planvue-roadmapweb3-roadmap
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
8 lines
1.1 KiB
8 lines
1.1 KiB
# Neural Networks |
|
|
|
Neural Networks play a pivotal role in the landscape of deep learning, offering a plethora of benefits and applications for data analysts. They are computational models that emulate the way human brain processes information, enabling machines to make intelligent decisions. As a data analyst, understanding and utilizing neural networks can greatly enhance decision-making process as it allows to quickly and effectively analyze large datasets, recognize patterns, and forecast future trends. In deep learning, these networks are used for creating advanced models that can tackle complex tasks such as image recognition, natural language processing, and speech recognition, to name but a few. Therefore, an in-depth knowledge of neural networks is a significant asset for any aspiring or professional data analyst. |
|
|
|
Learn more from the following resources: |
|
|
|
- [@article@What is a neural network?](https://aws.amazon.com/what-is/neural-network/) |
|
- [@article@Explained: Neural networks](https://news.mit.edu/2017/explained-neural-networks-deep-learning-0414) |