Python

Implementing next-generation data sequencing for biological research and genomics

Understand basic to advanced deep learning algorithms by implementing them from scratch, along with their practical applications

This book enables students to use Python to implement modern data science techniques for business decisions as well as research.

Identify where to apply unsupervised machine learning and how to do it in Python. Find meaning in unlabeled data through Python-based unsupervised machine learning.

Build practical solutions to control LEDs, make music and read sensor data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC Micro Bit

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate

A case study approach to successful data science projects using Python, pandas, and scikit-learn

Concepts, tools, and techniques to explore deep learning architectures and methodologies

Refine your Python programming skills and build professional grade applications with this comprehensive guide

Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications

Explore the exciting world of machine learning with the fastest growing technology in the world

Manipulate and analyze network data with the power of Python and NetworkX

Explore the different data mining techniques using the libraries and packages offered by Python

Leverage the power of reward-based training for your deep learning models with Python

Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries