Descriptions
Full machine learning, NLP Bootcamp MLOPS and deployment. This comprehensive course is designed to take you from understanding the basics to mastering advanced concepts, while providing practical knowledge and hands-on experience. This course is suitable for anyone interested in machine learning and natural language processing, from beginners to advanced learners. Whether you are a student, a professional looking to improve your skills, or someone looking to change careers, this course will equip you with the knowledge and skills you need to succeed in the field of ML and NLP. By the end of this course, you will have a thorough understanding of machine learning and natural language processing, from the basics to advanced concepts. You’ll be able to apply your knowledge to create real-world projects and gain the skills needed to pursue a career in machine learning and NLP.
What will you learn
- Master basic and advanced machine learning and NLP concepts.
- Apply theoretical and practical knowledge to real-life projects using machine learning, NLP and MLOPS.
- Understand and implement the mathematical principles underlying ML algorithms.
- Develop and optimize machine learning models using industry-standard tools and techniques.
- Understand the basic principles of deep learning such as optimizers, loss functions, neural networks, and cnn.
Who is this course for?
- Budding data scientists and machine learning enthusiasts.
- Students and professionals looking to improve their ML and NLP skills.
- Beginners with a basic understanding of programming and mathematics.
- Anyone interested in understanding and applying machine learning and NLP techniques from scratch to advanced level.
- An aspiring Python developer who wants to get into the field of data science.
End-to-End Machine Learning Specification, MLOPS, and NLP Bootcamp Deployment
- Publisher: Udemy
- Teacher: Krish Nike
- English language
- Level: All levels
- Number of courses: 218
- Duration: 47 hours 25 minutes.
Content for 2024-6
Requirements
- Basic knowledge of school mathematics (algebra and statistics).
- Knowledge of programming principles (preferably Python).
- Desire to learn and apply theoretical and practical knowledge.
- Access to a computer with Internet connection for practical training.
Images
Sample clip
Installation instructions
Extract the files and watch on your favorite player
Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
file size
51.11 GB