Автор: Daneyal Anis
Издательство: Amazon
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 212
Размер: 10 Mb
Язык: English
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)