CATEGORY: Development > Data Science > Artificial Intelligence
Build 8 Practical Projects and Go from Zero to Hero in Deep/Machine Learning, Artificial Neural Networks
What you will learn
- Deep Learning Practical Applications
- Machine Learning Practical Applications
- How to use ARTIFICIAL NEURAL NETWORKS to predict car sales
- How to use DEEP NEURAL NETWORKS for image classification
- How to use LE-NET DEEP NETWORK to classify Traffic Signs
- How to apply TRANSFER LEARNING for CNN image classification
- How to use PROPHET TIME SERIES to predict crime
- How to use PROPHET TIME SERIES to predict market conditions
- How to develop NATURAL LANGUAGE PROCESSING MODEL to analyze Reviews
- How to apply NATURAL LANGUAGE PROCESSING to develop spam finder
- How to use USER-BASED COLLABORATIVE FILTERING to develop recommender system
Who should take this course?
- Data Scientists who want to apply their knowledge on Real World Case Studies
- Deep Learning practitioners who want to get more Practical Assignments
- Machine Learning Enthusiasts who look to add more projects to their Portfolio
Prerequisites
- Deep Learning and Machine Learning basics
- PC with Internet connection
This course includes
- 14 hours on-demand video
- 6 articles
- Full lifetime access
- Access on mobile and TV
- Certificate of completion