Dose hybrid Wavelet-PCA with machine learning method work more efficiently?

Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

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What are some of the research gaps in machine learning and artificial intelligence in africa?

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Anyone plz suggest relevant topic for research in image processing+Deep learning.?

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How to increase a model accuracy ?

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Can you share me how teacher education is managed in your respective national educational system?

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Can NFL theorem be valid in infinite search space in ML?

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What is the difference between L1 and L2 regularization in machine learning?

L1 and L2 regularization

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How to eliminate Steady state error from Reinforcement learning genetic algorithm code?

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28 February 2021 6,560 14 View

Is there any Machine Learning/AI algorithm that lets you predict with incomplete features without missing value imputation process?

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28 February 2021 1,556 6 View

How can I represent SDS-PAGE results for machine learning analysis?

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Siraj Muhammed Pandhiani Popular answer

Thanks Dr. Karim

Karim Hashim Kraidi Al-Saedi

Yes it is but will be slow

Siraj Muhammed Pandhiani

Zainab Nizar Jawad

صلاح حسون جبار

شكرا جزيلا على سؤالكم وتواصلكم الكريم

Isam Issa Omran

Following.

Aparna Sathya Murthy

As far as I have used wavelets are used to smooth or filter the data without dimension reduction . Decomposition and reconstruction of data and then using ML is what I have worked on from what i see it does if you want to make inferences in the frequency domain and PCA helps in solving the curse of dimensionality ...

Segun Michael Abegunde

Learning

Thank you very much my dear all friends.

Dr. Aparna Sathya Murthy, you are right. I also used PCA+LSSVM and wavelet+LSSVM and wavelet+PCA+LSSVM. I also found that wavelets are used to smooth or filter the data without dimension reduction . Decomposition and reconstruction of data and then using ML is what I have worked on from what i see it does if you want to make inferences in the frequency domain and PCA helps in solving the curse of dimensionality ...

But I also found that PCA+LSSVM work more efficiently than wavelet+LSSVM.

بان حميد فرحان

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