Treffer: Hands-On Deep Learning Architectures with Python

18 and his other book R Deep Learning Projects, both published by Packt Publishing. He is an experienced data scientist who is focused on developing machine learning and deep learning models and systems. He has worked in a variety of data-driven domains and has applied his machine learning expertise to computational advertising, recommendations, and network anomaly detection. He published five first-authored IEEE transaction and conference papers during his master's research at the University of Toronto. Saransh Mehta has cross-domain experience of working with texts, images, and audio using deep learning. He has been building artificial, intelligence-based solutions, including a generative chatbot, an attendee-matching recommendation system, and audio keyword recognition systems for multiple start-ups. He is very familiar with the Python language, and has extensive knowledge of deep learning libraries such as TensorFlow and Keras. He has been in the top 10% of entrants to deep learning challenges hosted by Microsoft and Kaggle.