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Deep Learning
Auto Encoder

Auto Encoder

In this Chapter of Deep Learning we will discuss about Auto Encoders. It is an Unsupervised Deep Learning technique and we will discuss…
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Amir Ali
Boltzmann Machine

Boltzmann Machine

In this Chapter of Deep Learning book we will discuss about Boltzmann Machine. It is an Unsupervised Deep Learning technique and we will…
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Amir Ali
Self Organizing Map(SOM)

Self Organizing Map(SOM)

In this Chapter of Deep Learning, we will discuss Self Organizing Maps (SOM). It is an Unsupervised Deep Learning technique and we will…
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Amir Ali
Recurrent Neural Network (RNN)

Recurrent Neural Network (RNN)

In this Chapter of Deep Learning, we will discuss the Recurrent Neural Network and LSTM. It is a Supervised Deep Learning technique and we…
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Amir Ali
Convlutional Neural Network(CNN)

Convlutional Neural Network(CNN)

In this Chapter of Deep Learning, we will discuss the Convolutional Neural Network. It is a Supervised Deep Learning technique and we will…
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Amir Ali
Artificial Neural Network (ANN)

Artificial Neural Network (ANN)

In this Second Chapter of Deep Learning book we will discuss about Artificial Neural Network. It is a Supervised Deep Learning technique…
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Amir Ali
Introduction to Deep Learning

Introduction to Deep Learning

In this Chapter, we will discuss Deep Learning and introduces with a real-life story and then provides applications in four different…
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Amir Ali
Machine Learning
Dimensionality Reduction(PCA and LDA)

Dimensionality Reduction(PCA and LDA)

In this Chapter we will discuss about Dimensionality Reduction Algorithms (Principle Component Analysis (PCA) and Linear Discriminant…
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Amir Ali
Clustering(K-Mean and Hierarchical Cluster)

Clustering(K-Mean and Hierarchical Cluster)

In this Chapter we will discuss about Clustering Algorithm (k-Mean and Hierarchical) Algorithm which is unsupervised Machine Learning…
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Amir Ali
Association Rule(Apriori and Eclat Algorithm)

Association Rule(Apriori and Eclat Algorithm)

In this Chapter we will discuss about Association Rule (Apriori and Eclat) Algorithm which is unsupervised Machine Learning Algorithm and…
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Amir Ali
Support Vector Machine with Practical Implementation

Support Vector Machine with Practical Implementation

In this chapter, we will discuss the Support Vector Machine Algorithm which is used for both classification and Regression problem too and…
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Amir Ali
Logistic Regression with Practical Implementation

Logistic Regression with Practical Implementation

In this chapter, we will discuss the Logistic Regression Algorithm which is used for classification and problem and its supervised machine…
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Amir Ali
K-Nearest Neighbor with Practical Implementation

K-Nearest Neighbor with Practical Implementation

In this chapter, we will discuss the k-Nearest Neighbor Algorithm which is used for classification problems and its supervised machine…
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Amir Ali
Random Forest with Practical Implementation

Random Forest with Practical Implementation

In this chapter, we will discuss the Random Forest Algorithm which is used for both classification and regression problems too and It’s…
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Amir Ali
Decision Tree with Practical Implementation

Decision Tree with Practical Implementation

In this chapter, we will discuss the decision Tree Algorithm which is also Called ‘CART’ used for both classification and regression…
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Amir Ali
Naïve Bayes Classifier with Practical Implementation

Naïve Bayes Classifier with Practical Implementation

In this chapter, we will discuss Naïve Bayes Classifier which is used for classification problem and it’s supervised machine learning…
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Amir Ali
Linear Regression with Practical Implementation

Linear Regression with Practical Implementation

In this chapter, we will discuss Linear Regression which is completely about Regression Techniques and comes under the Supervised Machine…
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Amir Ali
Introduction of Machine Learning

Introduction of Machine Learning

In this chapter, we will discuss the introduction of Machine Learning. The author introduces with a real-life story and then provides…
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Amir Ali
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