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Machine Learning with Scikit-Learn and TensorFlow

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Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn

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Hands-On Machine Learning with Scikit-Learn and TensorFlow

shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-scikit-learn and TensorFlow-author;

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Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow-author;

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Machine Learning with scikit-learn Quick Start Guide

learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine;

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Step by Step Tutorials on Deep Learning Using Scikit-Learn, Keras, and Tensorflow with Python GUI

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Python Machine Learning

Master the frameworks, models, and techniques that enable machines to 'learn' from data Use scikit-learn for machine learning and TensorFlow for;

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Learn TensorFlow 2.0

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with;

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TensorFlow Machine Learning Cookbook

will find it useful. What You Will Learn * Become familiar with the basics of the TensorFlow machine learning library * Get to know;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation;

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TensorFlow 2.0 Quick Start Guide

of machine learning and neural network TensorFlow techniques. What you will learn Use tf.Keras for fast prototyping, building, and training deep;

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scikit-learn Cookbook -

variety of machine learning tasks effortlessly by leveraging the power of scikit-learn * Perform supervised and unsupervised learning with ease;

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Learn TensorFlow 2.0

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing;

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Deep Learning with TensorFlow 2 and Keras

apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML. What you will learn Build machine learning and deep;

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Hands-on Scikit-Learn for Machine Learning Applications

machine learning applications in the world of Python. What You'll Learn Work with simple and complex datasets common to Scikit-Learn Manipulate;

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Machine Learning Fundamentals

With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the programming process and;

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Python for Probability, Statistics, and Machine Learning

, Sympy, Scikit-learn, Tensorflow, and Keras are applied to simulate and visualize important machine learning concepts like the bias/variance;

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Python for Probability Statistics and Machine Learning

, Sympy, Scikit-learn, Tensorflow, and Keras are applied to simulate and visualize important machine learning concepts like the bias/variance;

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Python Machine Learning -

, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully;

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

machine learning problems Key Features Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python Master the;

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TensorFlow For Dummies

TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with;

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Machine Learning with TensorFlow 1.x

Tackle common commercial machine learning problems with Google's TensorFlow 1.x library and build deployable solutions. About This Book;

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TensorFlow Machine Learning Cookbook

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features;

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Mastering Predictive Analytics with scikit-learn and TensorFlow

can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations;

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Learning scikit-learn

learning and data-based methods to build intelligent applications and enhance your programming skills, this the book for you. No previous;

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Mastering Machine Learning with scikit-learn -

algorithms work and develop an intuition for how to use them, and for data scientists who want to learn about the scikit-learn API. Familiarity with;

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TensorFlow Deep Learning Projects

, and will be able to build and train your own deep learning models with TensorFlow confidently. What you will learn Set up the TensorFlow;

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