A guide to advances in machine learning for financial professionals, with working Python code
Develop real-world applications powered by the latest advances in intelligent systems
Your one-stop guide to learning and implementing artificial neural networks with Keras effectively
Insightful projects to master deep learning and neural network architectures using Python and Keras
Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner
This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.
Build effective regression models in R to extract valuable insights from real data
Skip the theory and get the most out of Tensorflow to build production-ready machine learning models
Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.
Automate data and model pipelines for faster machine learning applications
Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem
Explore various Generative Adversarial Network architectures using the Python ecosystem