Data Science Training هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Overview

This course Provides instruction on the processes and practice of data science, including machine learning and natural language processing. Included are: tools and programming languages (Python, IPython, Mahout, Pig, NumPy, pandas, SciPy, Scikitlearn), the Natural Language Toolkit (NLTK), and Spark MLlib.

Duration    
3 days

Course Objectives

• Recognize use cases for data science on Hadoop
• Describe the Hadoop and YARN architecture
• Describe supervised and unsupervised learning differences
• Use Mahout to run a machine learning algorithm on Hadoop
• Describe the data science life cycle
• Use Pig to transform and prepare data on Hadoop
• Write a Python script
• Describe options for running Python code on a Hadoop cluster
• Write a Pig User-Defined Function in Python
• Use Pig streaming on Hadoop with a Python script
• Use machine learning algorithms
• Describe use cases for Natural Language Processing (NLP)
• Use the Natural Language Toolkit (NLTK)
• Describe the components of a Spark application
• Write a Spark application in Python
• Run machine learning algorithms using Spark MLlib
• Take data science into production
  تحديث بتاريخ 27 June, 2018