Complete Deep Learning In R With Keras & Others

🌟 Dive into Deep Learning Mastery with R - A Comprehensive Online Course by Minerva Singh 🌟

Your Complete Guide to Artificial Neural Networks & Deep Learning in R:

Embark on a journey through the complex and exciting world of neural networks and deep learning, all within the powerful framework of R. Say goodbye to the need for separate R-based data science courses or textbooks; this course equips you with everything you need to master these technologies and gain an edge in the competitive field of data science.

Learn from an Expert Data Scientist:

Meet your instructor, Minerva Singh - a distinguished Oxford University MPhil (Geography and Environment) graduate and recent Cambridge University PhD recipient. With over 5 years of experience in analyzing real-world data, Minerva has produced numerous publications for international peer-reviewed journals.

Her unique perspective comes from recognizing the multidimensional nature of data science, which is often overlooked by traditional R courses and books. Minerva's expertise ensures that you receive a comprehensive understanding of practical neural networks and deep learning within the R ecosystem.

Course Highlights:

• Real-World Application: From data reading & cleaning to implementing powerful neural networks and deep learning algorithms in R, this course covers it all.

• Advanced Tools & Techniques: Get hands-on with state-of-the-art R packages such as h2o and MXNET, and learn the intricacies of deep neural networks (DNN), convolution neural networks (CNN), and unsupervised learning methods.

• Practical Implementation: Apply your knowledge to real-life datasets like credit card fraud data, tumor data, and imagery for classification and regression tasks.

  • Introduction to powerful R-based deep learning packages (h2o, MXNET)
  • Understanding and implementing convolutional neural networks (CNNs) using the Keras framework on imagery data
  • Practical application of these frameworks to real-life scenarios

No Prior R or Statistics/Machine Learning Knowledge Required:

This course is designed for beginners and intermediate learners alike. Minerva's teaching style demystifies complex concepts and guides you through the basics of R Data Science using real-world examples. You'll be empowered to apply your newfound skills to actual data science challenges.

What You Will Gain:

• A solid foundation in R Data Science fundamentals
• The ability to use data science packages like caret, h2o, mxnet, and keras for real-life deep learning applications
• Hands-on experience with pre-processing and modeling imagery data - one of the most challenging yet rewarding aspects of deep learning
• Insight into selecting the best algorithms and methods for your dataset
• Full access to all course code and datasets

Join My Course Now!

Don't miss out on this opportunity to transform your understanding of artificial neural networks and deep learning with R. Enroll in Minerva Singh's comprehensive online course today and start your journey towards mastering these cutting-edge tools and techniques. 🚀

Enroll now and take the first step towards becoming an expert in deep learning with R! 📘✨