If you would like to build a solid foundation to analyze the implications of artificial intelligence for your industry and your personal life, then this series is for you.
This series covers the most successful machine learning & deep learning models as well as some of the latest validated research trends. The material is self-contained and develops the foundations of applied machine learning one step at a time. Saying that high-school mathematics is a prerequisite would be an overstatement. Some articles will cover topics as basic as sets, derivatives and linear models.
- Deeply explained chapters on Deep Learning & Machine Learning in freindly language
- Discussion Forum
- Works Offline
- Embedded notebooks to Code & practice on the go!
- Experts Assistance
- Cheat Sheet For Numpy | Pandas | Matplotlib
- Linear Regession
- Multivariate Linear Regession
- Logistic Regression
- K-Nearest Neighbours
- Decision Trees
- Recommendation Systems
- Sentiment Analysis