AI Powered Deep Learning with R: Mastering Neural Networks and Heuristics
Learning Path | 2 Course Series
Embark on a journey into AI-powered deep learning with R. Explore neural networks and heuristic techniques. Master the implementation of deep learning models. Elevate your skills in the dynamic field of AI with practical hands-on projects.
Offer ends in:
What you'll get
- 7+ Hours
- 2 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Fundamentals of deep learning and neural networks.
- Techniques for implementing neural networks using R.
- Strategies for model selection and optimization.
- Heuristic algorithms for improving model performance.
- Practical applications of deep learning in various domains.
- Hands-on experience with building and training neural network models.
- Methods for evaluating model performance and making improvements.
- Best practices for hyperparameter tuning and regularization.
- Real-world examples and case studies of AI-powered applications.
- Skills to tackle complex challenges and drive innovation in AI-powered solutions.
- Learn how to solve real life problem using the deep learning techniques
- deep Learning models such as Regression, Heauristic etc
- Understanding of basics of statistics and concepts of Deep Learning
- How to do basic statistical operations and run ML models in R
- In-depth knowledge of data collection and data preprocessing for Machine Learning problem
- How to convert business problem into a Machine learning problem
Content
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MODULE 1: Essentials Training
Courses No. of Hours Certificates Details Deep Learning: Neural Networks with R 2h 56m ✔ Deep Learning: Heuristics using R 4h 42m ✔
Description
This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level.
You're looking for a complete Machine Learning and Deep Learning course that can help you launch a flourishing career in the field of Deep Learning, R, right? You've found the right Deep Learning course! After completing this course you will be able to:
- Confidently build predictive Machine Learning and Deep Learning models using R to solve business problems and create business strategy
- Answer Machine Learning, Deep Learning, R, related interview questions
- Participate and perform in online Data Analytics and Data Science competitions such as Kaggle competitions
Deep Learning: Neural Networks with R (2h 56m): Dive into the world of deep learning with R in this comprehensive course. Explore the fundamentals of neural networks, including architecture, activation functions, and optimization techniques. Gain practical experience by implementing neural networks for various tasks, from classification to regression, using the powerful capabilities of R. Learn how to build, train, and evaluate neural network models, and discover best practices for optimizing performance.
Deep Learning: Heuristics using R (4h 42m): Unlock the potential of heuristics in deep learning with R in this in-depth course. Delve into advanced concepts and techniques for improving the efficiency and effectiveness of deep learning models. Explore heuristic algorithms and strategies for model selection, hyperparameter tuning, and performance optimization. Through hands-on exercises and real-world examples, learn how to leverage heuristics to overcome challenges and achieve superior results in your deep learning projects using R.
Requirements
- People Wanting To Master The R & R Studio Environment For Data Science
- Anyone With Prior Exposure To Common Machine Learning Concepts Such As Supervised Learning
- Students Wishing To Learn The Implementation Of Neural Networks On Real Data In R
- Students Wishing To Learn The Implementation Of Basic Deep Learning Concepts In R
Target Audience
- People pursuing a career in data science
- Working Professionals beginning their Data journey
- Statisticians needing more practical experience
Offer ends in:
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