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Advanced Learning Algorithms
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Advanced Learning Algorithms

Master neural networks, decision trees, and advanced ML techniques with TensorFlow for real-world AI applications.

Course Cost

Free course

Beginner

Skill Level

32 Hours

Self-paced lessons

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 Machine Learning 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.

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4.9

2,93,403 Enrolled

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English

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olive-leaves-logo

4.9

2,93,403 Enrolled

olive-leaves-logo

English

What you'll learn

  • Build neural networks with TensorFlow

  • Implement decision trees and tree ensembles

  • Apply ML development best practices

  • Train multiclass classification models

  • Optimize model performance

Skills you'll gain

Neural Networks
TensorFlow
Decision Trees
Machine Learning
Model Development
XGBoost
Random Forests
Model Evaluation
Multiclass Classification
Activation Functions

This course includes:

9.9 Hours PreRecorded video

14 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

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, taught by Andrew Ng, covers advanced machine learning algorithms and their practical implementation. Students learn to build and train neural networks using TensorFlow, implement decision trees and ensemble methods, and apply best practices for real-world AI applications. The curriculum includes multiclass classification, model evaluation, bias/variance analysis, and practical machine learning development strategies.

Neural Networks

Module 1 · 7 Hours to complete

Neural network training

Module 2 · 10 Hours to complete

Advice for applying machine learning

Module 3 · 8 Hours to complete

Decision trees

Module 4 · 7 Hours to complete

Fee Structure

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Advanced Learning Algorithms

Beginner

Skill Level

32 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.