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Machine Learning : An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More

The art of learning : neural networks and education

A brief guide to artificial intelligence

The deep learning with PyTorch workshop : build deep neural networks and artificial intelligence applications with PyTorch

Tree-Based Convolutional Neural Networks : Principles and Applications

Neural Networks : An Essential Beginners Guide to Artificial Neural Networks and their Role in Machine Learning and Artificial Intelligence

Fuzzy Logic Based Power-Efficient Real-Time Multi-Core System

Hands-On Deep Learning for Images with TensorFlow : Build intelligent computer vision applications using TensorFlow and Keras

Ear Biometric Systems with Forensic Validation

Deep Neural Networks in a Mathematical Framework

Activation functions in deep learning : activation functions in deep learning with LaTeX applications

Big data : a guide to big data trends, artificial intelligence, machine learning, predictive analytics, Internet of Things, data data science, data analytics, business intelligence, and data mining

Is 'fuzzy theory' an appropriate tool for large size problems?

Applied Cognitive Computing

Swarm Intelligence & Fuzzy Systems

Predictive analytics : the secret to predicting future events using big data and data science techniques such as data mining, predictive modelling, statistics, data analysis, and machine learning

Machine Learning Models Performance Prediction

Mastering Scikit-Learn : A Journey into Machine Learning with Python

Collapse : An Interactive Full-Stack Solution for Elevating Data Science Progress

Deep learning for crack-like object detection

Las profundidades de la realidad

Image Processing, Analysis and Machine Vision

The art of learning: neural networks and education

The art of learning: neural networks and education

Neural Engineering

Tensorflow Machine Learning : From Fundamental to Advanced Applications

Machine Learning Performance Improvements Using AI Based Data Centric Approach

Deep Neural Networks in a Mathematical Framework

Deep Learning for Crack-Like Object Detection

Activation Functions in Deep Learning: Activation Functions in Deep Learning With LaTeX Applications

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