Apache Spark Deep Learning Cookbook
by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
Foreword
If you are reading that, it's safe to assume that you are well-aware of the tremendous impact of Artificial Intelligence (AI) and Machine Learning (ML), and the uncanny effectiveness of deep neural networks. Matei Zaharia and his team started Spark, not as a competitor to Hadoop, but rather as an effort towards the democratization of AI and ML. As Zaharia has famously said, The only focus in Spark is how you compute stuff, not where you store it. Dubbed as unified analytics engine for large-scale data processing, Spark is optimized for resilience, speed, ease of use, generality, and run-everywhere features, and this book does a phenomenal job explaining it to you, converting you to a spark enthusiast.
As a reader, if you are excited ...
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