Available options are listed below:
Python Machine Learning: Practical guide & techniques for working with scikit-learn, tensonflorw & neaural networks starting from data
| AUTHOR | Gray, William |
| PUBLISHER | Independently Published (05/31/2019) |
| PRODUCT TYPE | Paperback (Paperback) |
Moving to a higher level is your next goal ?
★★★ Buy the Paperback version and get the Kindle Book versions for FREE ★★★
Today, ML algorithms accomplish tasks that until recently only expert humans could perform and, as machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities.
Programmers who know close to nothing about this technology, now, can use simple, efficient tools to implement programs capable of learning from data.
In this practical guide, you will discover:
Understand the key frameworks in ML
Latest Python open source libraries in ML
ML techniques using real-world data
The ML Classifiers Using Scikit-Learn
Implementing a Multilayer Artificial Neural Network from Scratch
The Mechanics of TensorFlow
ML Model into a Web Application
The future of ML
You are required to have installed the following on your computer:
Python 3.X
Numpy
Pandas
Matplotlib
This book offers a lot of insight into machine learning for both beginners, as well as for professionals, who already use some machine learning techniques.
Using the latest Python open source libraries, this book offers the practical knowledge you need to create and contribute to machine learning and modern data analysis.
Get a copy, of Python Machine Learning, today and see where the future lies
By scrolling to the top of the page, select " Add to Cart " button
★★★ Buy the Paperback version and get the Kindle Book versions for FREE ★★★
Moving to a higher level is your next goal ?
★★★ Buy the Paperback version and get the Kindle Book versions for FREE ★★★
Today, ML algorithms accomplish tasks that until recently only expert humans could perform and, as machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities.
Programmers who know close to nothing about this technology, now, can use simple, efficient tools to implement programs capable of learning from data.
In this practical guide, you will discover:
Understand the key frameworks in ML
Latest Python open source libraries in ML
ML techniques using real-world data
The ML Classifiers Using Scikit-Learn
Implementing a Multilayer Artificial Neural Network from Scratch
The Mechanics of TensorFlow
ML Model into a Web Application
The future of ML
You are required to have installed the following on your computer:
Python 3.X
Numpy
Pandas
Matplotlib
This book offers a lot of insight into machine learning for both beginners, as well as for professionals, who already use some machine learning techniques.
Using the latest Python open source libraries, this book offers the practical knowledge you need to create and contribute to machine learning and modern data analysis.
Get a copy, of Python Machine Learning, today and see where the future lies
By scrolling to the top of the page, select " Add to Cart " button
★★★ Buy the Paperback version and get the Kindle Book versions for FREE ★★★
He received much of his early training in the Western Inner Tradition from an associate of Papus. This individual was a Qabbalistic Rosicrucian, and Gray believes that his writings were profoundly influenced by this person's teachings.