Module 26 - data science and machine learning_Screen_Stream.avi
Content 

Module 26 : Basics of Machine Learning and Data Science (Available Length : 30 Minutes)

  1. Basics of ML and Data Science
  2. Example of Machine Learning
  3. Supervised and Unsupervised Learning
  4. Key terminology e.g. features, training and testing
  5. How to choose right algorithm
  6. Common steps of Machine Learning
      • Collect data
      • Prepare Input data
      • Analyze Input data
      • Train the algorithm
      • Test the algorithm
      • Use the Algorithm
    1. Spark Specialization Components

http://www.hadoopexam.com/Cloudera_Certification/CCPDE575/CCP_DE575_Hadoop_Cloudera_Data_Enginer_Questions_Dumps_Practice_Test.html

ApacheSpark Interview Questions

·         Apache Spark InterviewQuestions-1

·         Apache Spark Interview Questions-2

·         Apache Spark Interview Questions-3

·         Apache Spark Interview Questions-4

·         Apache Spark Interview Questions-5

·         Apache Spark Interview Questions-6 

          Apache Spark Interview Questions-7


http://www.hadoopexam.com/cloudera_certification/cca175/cca_175_hadoop_cloudera_spark_certification_questions_dumps_practice_test.html




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