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As Machine learning focuses only on solving real-world problems. Also, it takes few ideas of artificial intelligence. Moreover, machine learning does through the neural networks. That are designed to mimic human decision-making capabilities.
Machine Learning tools and techniques are the two key narrow subsets. That only focuses more on deep learning. Furthermore, we need to apply it to solve any problem. That requires thought- human or artificial.
Table of Contents
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Chapter 1 Deep Learning –ML
Chapter 2 ML-DL Terminologies
Chapter 3 ML-DL Audio Analysis
Chapter 4 Support Vector Machines-ML
Chapter 5 SVM Applications
Chapter 6 SVM Kernel Functions
Chapter 7 Dimensionality Reduction ..
Chapter 8 Gradient Boosting Algorithm
Chapter 9 XGBoost Tutorial .
Chaper 10 XGBoost Algorithm .
Chapter 11 AdaBoost Algorithm
Chapter 12 Deep Learning vs Machine Learning
Chapter 13 DL vs ML vs AI vs DS
As Machine learning focuses only on solving real-world problems. Also, it takes few ideas of artificial intelligence. Moreover, machine learning does through the neural networks. That are designed to mimic human decision-making capabilities.
Machine Learning tools and techniques are the two key narrow subsets. That only focuses more on deep learning. Furthermore, we need to apply it to solve any problem. That requires thought- human or artificial.
Table of Contents
--
Chapter 1 Deep Learning –ML
Chapter 2 ML-DL Terminologies
Chapter 3 ML-DL Audio Analysis
Chapter 4 Support Vector Machines-ML
Chapter 5 SVM Applications
Chapter 6 SVM Kernel Functions
Chapter 7 Dimensionality Reduction ..
Chapter 8 Gradient Boosting Algorithm
Chapter 9 XGBoost Tutorial .
Chaper 10 XGBoost Algorithm .
Chapter 11 AdaBoost Algorithm
Chapter 12 Deep Learning vs Machine Learning
Chapter 13 DL vs ML vs AI vs DS
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