Udemy – 2025 Advanced Machine Learning and Deep Learning Projects 2022-6

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

download link

Download part 1 – 1 GB

Download part 2 – 326 MB

File(s) password: www.downloadly.ir

File size

1.3 GB