Found 27 presentations matching your search
Overview Regularization for Deep Learning basics explained, After that we study about L2 and L1 Regu...
Regularization
L2 Regularization for Deep Learning with example and applications and derivations explained
Presentation in Vietnam Japan AI Community in 2019-05-26. The presentation summarizes what I've ...
Recent improvements in the internet of things (IoT), cloud services, and network data variety have i...
bnm
Fundamentals of Data Science.
TensorFlow Playground with Deep Learning Visualization Tool which is used for trace the all process ...
Pattern Recognition and Machine Learning
ITS ALL ABOUT HOW U MAKE
Understanding GBM and XGBoost in Scikit-Learn
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VGG
Convolutional Neural Network used for image classification
Feature engineering is the process of selecting, modifying, or creating new features (variables) fro...
Engine Engine Engine Engine Engine Engine Engine Engine Engine Engine Engine EngineEngine Engine Eng...
I've developed a comprehensive handbook covering the core concepts of data science and the mathe...
Support Vector Machine Chapter
Full guide of resume making
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
CASER : Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
linear regression is a linear approach for modelling a predictive relationship between a scalar resp...
About Linear regression
Dive into the forefront of healthcare analytics with our latest project showcase on heart disease cl...
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