Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization
The Book is comprised of 10 chapters and 5 Python projects. Each project you build will be an opportunity to prove your skills and demonstrate what you’ve learned in your lessons. Building a project is one of the best ways both to test the skills you've acquired and to demonstrate your newfound abilities to future employers.
Educational Objectives: Become an expert in neural networks, and learn to implement them from scratch and using frameworks like Keras and TensorFlow.
Prerequisite Knowledge: Make sure to set aside adequate time on your calendar for focused Learn. In order to succeed in this book. The first chapters of the book will give you all the basic knowledge of probability, statistic, calculus (multivariable derivatives) and linear algebra (matrix multiplication needed for mastering Deep Learning. Please, take time to learn them.
Contact Info: While going through the program, if you have questions about anything, you can reach us at contact@aispublishing.net.
Part I : Fundamentals of Deep learning
Part II : Deep Learning in Practice (In Jupyter notebooks)
Country | USA |
Author | AI Publishing |
Binding | Kindle Edition |
EISBN | 9781733042628 |
Format | Kindle eBook |
IsAdultProduct | 0 |
Label | AI Publishing LLC |
Manufacturer | AI Publishing LLC |
NumberOfPages | 162 |
PublicationDate | 2019-06-08 |
Publisher | AI Publishing LLC |
ReleaseDate | 2019-06-08 |
Studio | AI Publishing LLC |