Insightful projects to master deep learning and neural network architectures using Python and Keras
An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms
Develop real-world applications powered by the latest advances in intelligent systems
Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.
Be an adaptive thinker that leads the way to Artificial Intelligence
Skip the theory and get the most out of Tensorflow to build production-ready machine learning models
Become a master at penetration testing using machine learning with Python
Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem
Leverage the power of Java and its associated machine learning libraries to build powerful predictive models
Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.
Perform efficient fast text representation and classification with Facebook's fastText library
Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow
