Ultimate Step by Step Guide to Deep Learning Using Python Audiolibro Por Daneyal Anis arte de portada

Ultimate Step by Step Guide to Deep Learning Using Python

Artificial Intelligence and Neural Network Concepts Explained in Simple Terms

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Ultimate Step by Step Guide to Deep Learning Using Python

De: Daneyal Anis
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This book continues from where the first book in the series, Ultimate Step by Step Guide to Machine Learning Using Python, left of. In the first book you were introduced to Python concepts such as: • Data Structures like Pandas • Foundational libraries like Numpy, Seaborn and Scikit-Learn • Regression analysis • Classification • Clustering • Association Learning • Dimension Reduction This book builds on those concepts to expand on Machine Learning algorithms like: • Linear and Logistical regression • Decision tree • Support vector machines (SVM) After that, this book takes you on a journey into Deep Learning and Neural Networks with important concepts and libraries like: • Convolutional and Recurrent Neural Networks • TensorFlow • Keras • PyTorch • Keras • Apache MXNet • Microsoft Cognitive Toolkit (CNTK) The final part of the book covers all foundational concepts that are required for Amazon Web Services (AWS) Certified Machine Learning Specialization by explaining how to deploy your models at scale on Cloud technologies. While AWS is used in the book for illustrative purposes, Microsoft Azure and Google Cloud are also introduced as alternative cloud technologies. After reading this book you will be able to: • Code in Python with confidence • Build new machine learning and deep learning models from scratch • Know how to clean and prepare your data for analytics • Speak confidently about statistical analysis techniques Data Science was ranked the fast-growing field by LinkedIn and Data Scientist is one of the most highly sought after and lucrative careers in the world!
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Programación Aprendizaje automático Ciencia de datos Inteligencia artificial
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