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Python Programming: This Book Includes: Deep Learning With Keras, Convolutional Neural Networks, Machine Learning, Tensorflow, Data Analytics, Natural ... Processing, DevOps Handbook AND Adoption
Programming With Python - 8 BOOK BUNDLE!!
Deep Learning With Keras
Here Is A Preview Of What You’ll Learn Here…
The difference between deep learning and machine learning
Deep neural networks
Convolutional neural networks
Building deep learning models with Keras
Multi-layer perceptron network models
And much more...
Convolutional Neural Networks In Python
Here Is A Preview Of What You’ll Learn Here…
Convolutional neural networks structure
How convolutional neural networks actually work
Convolutional neural networks applications
The importance of convolution operator
How to build a simple image classification CNN
And much, much more!
Python Machine Learning
Here Is A Preview Of What You’ll Learn Here…
Basics behind machine learning techniques
Most commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests
Solving multi-clasisfication problems
Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn
Solving multi-label classification problems
And much, much more...
Machine Learning With TensorFlow
Here Is A Preview Of What You’ll Learn Here…
What is machine learning
Main uses and benefits of machine learning
How to get started with TensorFlow, installing and loading data
Data flow graphs and basic TensorFlow expressions
Creating MNIST classifiers with one-hot transformation
And much, much more...
Data Analytics With Python
Here Is A Preview Of What You’ll Learn Here…
What is Data Analytics?
Difference between data science, big data and data analytics
Installing python
Python data structures
Pandas series and data frames
And much, much more...
Natural Language Processing With Python
Here Is A Preview Of What You’ll Learn Here…
Deep Learning With Keras
Here Is A Preview Of What You’ll Learn Here…
The difference between deep learning and machine learning
Deep neural networks
Convolutional neural networks
Building deep learning models with Keras
Multi-layer perceptron network models
And much more...
Convolutional Neural Networks In Python
Here Is A Preview Of What You’ll Learn Here…
Convolutional neural networks structure
How convolutional neural networks actually work
Convolutional neural networks applications
The importance of convolution operator
How to build a simple image classification CNN
And much, much more!
Python Machine Learning
Here Is A Preview Of What You’ll Learn Here…
Basics behind machine learning techniques
Most commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests
Solving multi-clasisfication problems
Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn
Solving multi-label classification problems
And much, much more...
Machine Learning With TensorFlow
Here Is A Preview Of What You’ll Learn Here…
What is machine learning
Main uses and benefits of machine learning
How to get started with TensorFlow, installing and loading data
Data flow graphs and basic TensorFlow expressions
Creating MNIST classifiers with one-hot transformation
And much, much more...
Data Analytics With Python
Here Is A Preview Of What You’ll Learn Here…
What is Data Analytics?
Difference between data science, big data and data analytics
Installing python
Python data structures
Pandas series and data frames
And much, much more...
Natural Language Processing With Python
Here Is A Preview Of What You’ll Learn Here…
682 pages, Kindle Edition
Published November 21, 2018
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