Advanced Learning Algorithms
Construct and train neural networks and tree ensemble methods using TensorFlow, while applying effective machine learning practices for real-world data generalization.
Description for Advanced Learning Algorithms
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Stanford University & DeepLearning.AI
Duration: 34 hours (approximately)
Schedule: Flexible
Pricing for Advanced Learning Algorithms
Use Cases for Advanced Learning Algorithms
FAQs for Advanced Learning Algorithms
Reviews for Advanced Learning Algorithms
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Advanced Learning Algorithms
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.
Become an adept in the field of machine learning. Break into the field of artificial intelligence by mastering the fundamentals of deep learning. Recently upgraded with state-of-the-art methodologies!
The Deep Learning Specialization offers a comprehensive foundation in deep learning, practical skills in constructing neural networks, and prepares individuals to integrate machine learning into professional endeavors, advancing careers in AI.
Gain the skills needed for a machine learning engineering role and prepare for the Google Cloud Professional Machine Learning Engineer certification exam by learning to design, build, and productize ML models using Google Cloud technologies.
Begin your professional journey as an AI engineer. Master the art of generating business insights from large datasets by employing deep learning and machine learning models.
Gain practical experience in optimizing, deploying, and scaling machine learning models using Google Cloud Platform through a structured five-course specialization with hands-on labs and a focus on advanced topics and recommendation systems.
Explore the differences between ML in Finance and Technology, evaluation methods for regression and classification models, Reinforcement Learning for stock trading, and modeling techniques for market frictions and feedback in option trading.
Learn to develop, train, and assess neural networks using TensorFlow to resolve classification issues by understanding the fundamental principles of neural networks.
Featured Tools
Through the course, students can leverage AI to gain a competitive edge and develop creative business ideas.
Acquire practical business analytics expertise. Utilize data to resolve intricate business challenges.
Besides Python programming and data science fundamentals, the course covers supervised machine learning regression, which includes training models for continuous outcomes, error metrics, Elastic Net, LASSO, Ridge regularization, and data science fundamentals for aspiring data scientists.
The course covers the following topics: leveraging digital platform data for competitive advantage, generating personalized AI Relationship Moments, constructing networked business models, and enhancing customer engagement with data-driven AI.
Data Engineering on Google Cloud. Embark on a vocation in data engineering. Provide business value through the application of machine learning and big data.