logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Applied Deep Learning With Python Use Scikitlearn Tensorflow And Keras To Create Intelligent Systems And Machine Learning Solutions Alex Galea

  • SKU: BELL-54871254
Applied Deep Learning With Python Use Scikitlearn Tensorflow And Keras To Create Intelligent Systems And Machine Learning Solutions Alex Galea
$ 31.00 $ 45.00 (-31%)

4.7

36 reviews

Applied Deep Learning With Python Use Scikitlearn Tensorflow And Keras To Create Intelligent Systems And Machine Learning Solutions Alex Galea instant download after payment.

Publisher: Packt Publishing
File Extension: PDF
File size: 34.53 MB
Pages: 317
Author: Alex Galea, Luis Capelo
ISBN: 9781789804744, 1789804744
Language: English
Year: 2019

Product desciption

Applied Deep Learning With Python Use Scikitlearn Tensorflow And Keras To Create Intelligent Systems And Machine Learning Solutions Alex Galea by Alex Galea, Luis Capelo 9781789804744, 1789804744 instant download after payment.

Taking an approach that uses the latest developments in the Python ecosystem, you'll first be guided through the Jupyter ecosystem, key visualization libraries and powerful data sanitization techniques before we train our first predictive model. We'll explore a variety of approaches to classification like support vector networks, random decision forests and k-nearest neighbours to build out your understanding before we move into more complex territory. It's okay if these terms seem overwhelming; we'll show you how to put them to work.

Related Products