Complete Machine Learning, NLP Bootcamp MLOPS & Deployment 2024

Description

Price: 25.00 USD | Size: SIZE: 50.2 GB | Duration: 47.28+ Hrs
BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD

Descriptions

Complete Machine Learning,NLP Bootcamp MLOPS & Deployment, This comprehensive course is designed to take you on a journey from understanding the basics to mastering advanced concepts, all while providing practical insights and hands-on experience. This course is suitable for anyone interested in learning machine learning and natural language processing, from beginners to advanced learners. Whether you’re a student, a professional looking to upskill, or someone looking to switch careers, this course will provide you with the knowledge and skills you need to succeed in the field of ML and NLP. By the end of this course, you’ll have a comprehensive understanding of machine learning and natural language processing, from the basics to advanced concepts. You’ll be able to apply your knowledge to build real-world projects, and you’ll have the skills needed to pursue a career in ML and NLP.

What you’ll learn

• Master foundational and advanced Machine Learning and NLP concepts.
• Apply theoretical and practical knowledge to real-world projects using Machine learning,NLP And MLOPS
• Understand and implement mathematical principles behind ML algorithms.
• Develop and optimize ML models using industry-standard tools and techniques.
• Understand The Core intuition of Deep Learning such as optimizers,loss functions,neural networks and cnn

Who this course is for

• Aspiring data scientists and machine learning enthusiasts.
• Students and professionals looking to enhance 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 levels.
• Beginners Python Developer who wants to get into the Data Science field

Requirements

• Basic understanding of high school mathematics (algebra and statistics).
• Familiarity with programming concepts (Python preferred).
• Willingness to learn and apply theoretical and practical knowledge.
• Access to a computer with internet connectivity for hands-on practice.