Python for Data Science and Machine Learning: An Introduction
Python is a versatile programming language that you can use for various purposes. This blog post will discuss its uses in data science and machine learning. Python is a popular language for these applications because it is easy to learn, efficient, and powerful.
Python in Computer Vision
Computer vision is one of the most exciting divisions of Machine Learning. A lot of research has been carried out in this field for decades. Processing of images becomes faster and more efficient thanks to cloud technologies and powerful GPUs and TPUs.
We can use python for various computer vision tasks such as:
- Object detection
- Image classification
- Facial recognition
- Self-driving cars
Object detection is the process of finding and classifying objects in an image.
Python in Natural Language Processing
Another exciting field is natural language processing, where python also plays a significant role. Since 2018 this field has gotten lots of traction because Google Developed the new Architurtur Transformer. This was an improvement over the common RNNs (Recurrent Neuronal Networks) models.
Some of the tasks pythons are used for in NLP are:
- Sentiment classification
- Text generation
- Named entity recognition
- Chatbots
Python in Speech Recognition
This field got real traction when Facebook published the “Wav2vec 2.0” model around September 2020. Mostly interesting for voice user interfaces, like Siri, Cortana, Google Now, Amazon Echo, etc.
