Machine Learning with Scikit-Learn Quick Start Guide : Classification, Regression, and Clustering Techniques in Python [1 ed.] 9781789347371, 9781789343700

Machine Learning with scikit-learn Quick Start Guide: Classification, regression, and clustering techniques in Python 9781789343700, 1789343704

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression,

117 91 3MB Read more

Hacker’s Guide to Machine Learning with Python

1,083 139 17MB Read more

Machine Learning with Python: A Practical Beginners’ Guide (Machine Learning with Python for Beginners Book 2)

Ready to add Machine Learning to your skill stack? As the second title in the Machine Learning From Scratch series, this

282 111 2MB Read more

Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js 9781484268438, 9781484268421

Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (

104 39 7MB Read more

Recurrent Neural Networks with Python Quick Start Guide : Sequential Learning and Language Modeling with TensorFlow [1 ed.] 9781789133660, 9781789132335

Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling wi

378 104 5MB Read more

Machine Learning: A Guide to PyTorch, TensorFlow, and Scikit-Learn: Mastering Machine Learning With Python

Unlock the full potential of machine learning with "Machine Learning," your essential guide to conquering the

107 74 762KB Read more

Machine Learning with Python 1824213629

1,148 146 3MB Read more

Machine Learning Techniques for Time Series Classification 9783736978133

Classification of time series is an important task in various fields, e.g., medicine, finance, and industrial applicatio

204 36 11MB Read more

Hacker’s Guide to Machine Learning with Python 2607003433

591 121 51MB Read more

Time Series Algorithms Recipes. Implement Machine Learning and Deep Learning Techniques with Python 9781484289778, 9781484289785

1,368 154 8MB Read more