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Machine Learning and NLP Basics

Master machine learning and NLP fundamentals, from neural networks to text analysis. Perfect for beginners starting their AI journey.

Master machine learning and NLP fundamentals, from neural networks to text analysis. Perfect for beginners starting their AI journey.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Learn Generative AI with LLMs Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

3.7

(12 ratings)

Instructors:

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Machine Learning and NLP Basics

This course includes

19 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Master fundamental concepts of machine learning and deep learning

  • Implement neural networks using TensorFlow

  • Understand and apply various types of neural networks (CNN, RNN, LSTM)

  • Develop text mining and preprocessing skills

  • Implement text classification techniques

  • Gain practical experience with ML and NLP tools

Skills you'll gain

Machine Learning
Deep Learning
Natural Language Processing
TensorFlow
Neural Networks
Text Mining
CNN
RNN
LSTM
AI Fundamentals

This course includes:

13.5 Hours PreRecorded video

15 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course provides a solid foundation in machine learning and natural language processing. The curriculum covers essential concepts from ML fundamentals to advanced deep learning techniques, including neural networks, CNNs, and RNNs. Students learn practical skills in text mining, preprocessing, and classification while gaining hands-on experience with TensorFlow and NLTK. Through structured modules, learners progress from basic AI concepts to implementing sophisticated ML models and NLP applications.

Machine Learning

Module 1 · 3 Hours to complete

Deep Learning

Module 2 · 9 Hours to complete

Natural Language Process

Module 3 · 5 Hours to complete

Course Wrap-up and Assessments

Module 4 · 44 Minutes to complete

Fee Structure

Instructor

Edureka
Edureka

45,069 Students

56 Courses

Inspiring the Next Generation of Tech Professionals

Edureka is dedicated to providing high-quality, instructor-led online training, empowering professionals to enhance their skills in various domains. The platform features a diverse team of experienced instructors who are passionate about teaching and possess extensive industry knowledge. These instructors facilitate a wide range of courses covering topics such as data science, artificial intelligence, machine learning, and cloud computing. Edureka's commitment to education is reflected in its innovative approach to learning, which includes interactive sessions, real-world projects, and 24/7 support for students. By fostering a collaborative learning environment, Edureka ensures that learners not only acquire technical skills but also develop critical thinking and problem-solving abilities essential for success in today's fast-paced job market.

Machine Learning and NLP Basics

This course includes

19 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

3.7 course rating

12 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.