Spark has a machine learning aspect to it and it's called Spark MLLib. We discuss an intro into machine learning, some models, then apply some of those common machine learning models.
You may also already know what Spark is, if not, well, we will either introduce it again or remind you. We will go over a quick introduction to its purpose. Then we will go all Machine Learning on it. We will have a discussion of the purpose of data science, what the rigors are with data science and then apply this data into Spark MLLib. We will discuss the various models and then apply various data into Spark in order to achieve some insight into the data you have and have currently been aggregating.
Daniel is a programmer, consultant, instructor, speaker, and recent author. With over 20 years of experience, he does work for private, educational, and government institutions. He is also currently a speaker for No Fluff Just Stuff tour. Daniel loves JVM languages like Java, Groovy, and Scala; but also dabbles with non JVM languages like Haskell, Ruby, Python, LISP, C, C++. He is an avid Pomodoro Technique Practitioner and makes every attempt to learn a new programming language every year. For downtime, he enjoys reading, swimming, Legos, football, and barbecuing.