What you’ll discover in Set Machine Learning in Python: Random Forest, AdaBoost
- Understand and also obtain the bias-variance decomposition
- Recognize the bootstrap method and its application to getting
- Understand why landing enhances classification as well as regression performance
- Understand and also apply Random Forest
- Understand and apply AdaBoost
In the last few years, we have actually seen a resurgence in AI, or expert system, as well as artificial intelligence.
Artificial intelligence has brought about some outstanding outcomes, like being able to evaluate medical photos and predict diseases on-par with human experts.
Google’s AlphaGo program was able to beat a world champ in the strategy game go making use of deep reinforcement discovering.
Artificial intelligence is even being used to program self driving automobiles, which is going to transform the automotive sector forever. Visualize a world with drastically reduced auto mishaps, just by removing the element of human error.
Google famously revealed that they are currently “artificial intelligence first”, as well as firms like NVIDIA and also Amazon have followed suit, and also this is what’s mosting likely to drive advancement in the coming years.
Who this course is for:
- Understand the types of models that win machine learning contests (Netflix prize, Kaggle)
- Students studying machine learning
- Professionals who want to apply data science and machine learning to their work
- Entrepreneurs who want to apply data science and machine learning to optimize their business
- Students in computer science who want to learn more about data science and machine learning
- Those who know some basic machine learning models but want to know how today’s most powerful models (Random Forest, AdaBoost, and other ensemble methods) are built
|File Name :||Ensemble Machine Learning in Python: Random Forest, AdaBoost free download|
|Genre / Category:||Data Science|
|File Size :||1.50 gb|
|Publisher :||Lazy Programmer Team|
|Updated and Published:||07 Jul,2022|