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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter;

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Machine Learning Applications Using Python

where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the;

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Machine Learning Guide for Oil and Gas Using Python

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a;

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Building Machine Learning Systems with Python

Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine;

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Machine Learning on Geographical Data Using Python

, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from;

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Mastering OpenCV 4 with Python

application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book;

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Machine Learning with Python

Machine Learning What are the Python Keywords? How to make predictions using;

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Introduction to Machine Learning with Python

the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and;

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Applied Supervised Learning with Python

machine learning techniques in your data science projects using Python. You'll explore Jupyter Notebooks, the technology used commonly in academic;

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Python

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book * Understand;

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Practical Machine Learning and Image Processing

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;

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Practical Machine Learning and Image Processing

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;

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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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Python Machine Learning

Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully;

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Python Machine Learning Cookbook

machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine;

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Python Machine Learning

decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous;

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Practical Computer Vision Applications Using Deep Learning with CNNs

Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using Python Follow a deep learning;

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Python

Leverage benefits of machine learning techniques using Python About This Book * Improve and optimise machine learning systems using;

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Hands-On Data Science and Python Machine Learning

techniques of data analysis * Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods * Learn how;

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Learning PySpark

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book;

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Artificial Intelligence and Machine Learning Fundamentals

clustering using the k-means and mean shift algorithms Understand the fundamentals of deep learning via practical examples Who this book;

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Hands-On GPU Computing with Python

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;

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Beginner's Guide to Streamlit with Python

using various interactive and dynamic Python libraries How to implement models in Streamlit web applications Who This Book Is ForProfessionals;

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Machine Learning and Deep Learning Using Python and TensorFlow

Deep Learning Using Python and TensorFlow includes valuable case studies across professional domains, including banking, insurance, e-commerce;

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Python for Probability, Statistics, and Machine Learning

, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also;

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TensorFlow 2.0 Quick Start Guide

your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine learning and learn advanced;

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Python Machine Learning

If you've been using Python for some time and want to become even better at it, then Python Machine Learning is the first book you should;

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