Description
Course 2025 Advanced Machine Learning and Deep Learning Projects. This advanced machine learning and deep learning course covers the following topics:
- SBERT and BERT: These pre-trained models are used for natural language processing tasks such as sentence classification, entity name recognition, and question answering.
- Sentence embeddings and similarity measures: techniques for representing sentences as numeric vectors and methods for comparing similarity between sentences.
- Clustering: algorithms for grouping similar data, such as k-means and hierarchical clustering.
- Text summarization: Techniques for automatically generating a concise summary of a longer text.
- Question Answering: Techniques for automatically answering questions based on a given text.
- Image clustering: Algorithms for grouping similar images.
- Image Search: Techniques for searching images based on their content.
Throughout the course, students will work on hands-on projects that help them apply the concepts learned to real-world problems. They will also have the opportunity to implement the latest state-of-the-art techniques in the field to solve various NLP and CV problems.
What you will learn in the course 2025 Advanced Machine Learning and Deep Learning Projects
- Advanced NLP for Data Scientists
- Advanced image processing
- Text data processing
- Embedding textual and image data in a common vector space
- Implement image search like Google image search
- Text and image data clustering
This course is suitable for people who
- They have basic knowledge of machine learning.
- They want to improve their skills.
- They want to help their career progress.
Course details
- Publisher: Udemy
- Lecturer: Laxmi Kant KGP Talkie
- Training level: beginner to advanced
- Training duration: 3 hours and 48 minutes
- Number of courses: 22
Course topics on 2024/11
Course prerequisites
- Basic programming of ML is desired
- Experience in Python programming
- Desire to learn
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: English
Quality: 720p
download link
File(s) password: www.downloadly.ir
File size
1.3 GB