Academics
“Deep Learning for Data Architects” is a comprehensive guide that bridges the gap between data architecture and deep learning. It provides a solid foundation in Python for data science and serves as a launchpad into the world of AI and deep learning. The book begins by addressing the challenges of transforming raw data into actionable insights. It provides a practical understanding of data handling and covers the construction of neural network-based predictive models. The book then explores specialized networks such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). The book delves into the theory and practical aspects of these networks and offers Python code implementations for each. The final chapter of the book introduces Transformers, a revolutionary model that has had a significant impact on natural language processing (NLP). This chapter provides you with a thorough understanding of how Transformers work and includes Python code implementations.
Shekhar Khandelwal is a distinguished Senior AI & Data Scientist, residing in the bustling harbor city of Hamburg, Germany. His academic career shines bright with a Master?s degree in Data Science, achieving distinction for his thesis work in the realm of Computer Vision. His name can be spotted in top-tier research papers and publications, predominantly in the area of Deep Learning. Bringing to the table over 15 years of experience, the author has an extensive professional background in the field of AI and machine learning. His journey ranges from coding and crafting enterprise-level AI products to leading data teams and mentoring future data science professionals. He has successfully developed numerous client solutions utilizing big cloud service platforms such as AWS, Google Cloud, Microsoft Azure, and IBM Cloud. Despite his deep involvement in the tech industry, our author is also a fitness enthusiast. When he?s not making machines smarter, he?s likely to be found flexing his muscles at the gym, attending a crossfit class, cycling, or participating in marathon runs. His zeal for fitness is as strong as his passion for AI, making him a well-rounded professional in all respects.
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