This is the bundle of two successful audiobooks in the market!
In Deep Learning for Beginners: A Comprehensive Introduction of Deep Learning Fundamentals for Beginners to Understanding Frameworks, Neural Networks, Large Datasets, and Creative Applications with Ease, you will learn:
- Deep learning utilizes frameworks which allow people to develop tools able to offer better abstraction, along with simplification of hard programming issues
- TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook
- Several components and tools of deep learning, such as the neural networks, CNNs, RNNs, GANs, and auto-encoders
- Several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity
- And much more
In Data Science from Scratch: The #1 Data Science Guide for Everything a Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees, you will learn:
- In-depth information about what data science is and why it is important
- The prerequisites you will need to get started in data science
- What it means to be a data scientist
- The roles that hacking and coding play in data science
- The different coding languages that can be used in data science
- Why python is so important
- How to use linear algebra and statistics
- The different applications for data science.
- How to work with the data through munging and cleaning
- And much more
Get your copy of these fantastic audiobooks to master state-of-the-art deep-learning algorithms and their implementation!