By Siamak Amirghodsi
Over eighty recipes to simplify computer studying version implementations with Spark
About This Book
- Solve the day by day difficulties of knowledge technology with Spark
- This detailed cookbook includes fascinating and intuitive numerical recipes
- Optimize your paintings by way of buying, cleansing, interpreting, predicting, and visualizing your data
Who This booklet Is For
This booklet is for Scala builders with a reasonably strong publicity to and realizing of computer studying ideas, yet lack useful implementations with Spark. a superb wisdom of desktop studying algorithms is thought, in addition to hands-on event of enforcing ML algorithms with Scala. although, you don't need to be accustomed to the Spark ML libraries and ecosystem.
What you'll Learn
- Get to understand how Scala and Spark move hand-in-hand for builders while constructing ML platforms with Spark
- Build a suggestion engine that scales with Spark
- Find out how one can construct unsupervised clustering structures to categorise facts in Spark
- Build computing device studying structures with the choice Tree and Ensemble types in Spark
- Deal with the curse of high-dimensionality in huge information utilizing Spark
- Implement textual content analytics for se's in Spark
- Streaming desktop studying process implementation utilizing Spark
Machine studying goals to extract wisdom from facts, hoping on primary strategies in laptop technological know-how, facts, chance, and optimization. studying approximately algorithms allows a variety of functions, from daily initiatives equivalent to product strategies and junk mail filtering to bleeding aspect functions resembling self-driving automobiles and custom-made medication. you are going to achieve hands-on event of employing those ideas utilizing Apache Spark, a cluster computing procedure like minded for large-scale laptop studying tasks.
This publication starts with a brief assessment of establishing the required IDEs to facilitate the execution of code examples that might be coated. It additionally highlights a few key matters builders face whereas puzzling over Scala for computer studying and through the change over to Spark. We growth by way of uncovering a number of the Spark APIs and the implementation of ML algorithms with constructing category platforms, suggestion engines, clustering and studying platforms. in the direction of the ultimate chapters, we’ll concentrate on construction high-end purposes and clarify a number of unsupervised methodologies and demanding situations to take on whilst imposing with immense information ML systems.
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Additional resources for Apache Spark Machine Learning Cookbook
Apache Spark Machine Learning Cookbook by Siamak Amirghodsi