Overview

Skill Level: Beginner

What is machine learning?
How to develop machine learning using Python?
How to develop machine learning using Spark?
How to develop machine learning using R?
How to use IBM Data Science Experience (DSX) platform to run your script?

Ingredients

development background to write some simple scripts for data analysis in Python, R, and Spark

Step-by-step

  1. IBM Watson

    Watson an IBM brand for the next generation of cognitive computing solutions.
    Watson are trained using machine learning/Deep learning algorithms to sense, predict, infer and, in some ways, think.

    IBM Watson Data Science Experience : advanced analytics capabilities for data scientists (write code for ML/Deep learning)

    IBM Watson Analytics: removes the complexity and delivers a user friendly tools for business professional

    IBM Watson Services on BlueMix for Application Developer

    • Watson Conversation service (used to develop Help Desk Assistant chatbot)
    • Watson Visual Recognition service
    • Natural Language Classifier service (used in Healthcare questions and answers)
    • Watson Language Translator service
    • Watson Speech to Text and Text to Speech services
    • Watson Natural Language Understanding service (Sentiment and personality analysis)

    Note
    IBM Watson Explorer: an application designed for a local install, not a cloud base solution, old name was IBM Omnifind

     

  2. IBM Data Science Experience (DSX) platform

    IBM DSX is a powerful computational engine based on Apache Spark Executors.

    It has a strong computing capacity in the back end.

    It currently supports Python, R, and Scala.

    Using IBM DSX, you can create a Python, R, or Scala, notebook-based project and create a data connection to your data source.

    You have options to load all types of Machine Learning algorithms that are supported by runtime from KNN and RandomForest to TensorFlow.

    You can use notebook to :
    Loaded your data
    Created data sets
    Modeled, trained, and validated your data

    How to use platform for free?

    Register for IBM Cloud here : http://ibm.biz/MLChallenge
    Log in to IBM DataScience Experience with your IBM Cloud credientials – https://datascience.ibm.com

  3. Use IBM Data Science Experience for Machine Learning

    Download the attached PPT https://www.ibm.com/developerworks/community/files/app#/file/1c0ac155-72c1-439d-be3c-7dd645a0243f

    to learn

    1) How to open free account on IBM Data Science Experience (DSX) platform and how to use it

    2) What is the most common machine learning algorithms 

    3) How to write a simple python script for machine learning 

    4) How to use NLTK, and textblob for Natural Language Processing and Sentimental Analysis 

    5) How to use OpenCV for Computer Vision

    6) How to develop deep learning using Neural Network in Keras

    7) How to develop machine learning using Spark

    8) How to make Basket market analysis using R Studio 

     

2 comments on"IBM Data Science Experience (DSX) platform (now known as Watson Studio)"

  1. SamsonTai May 14, 2018

    Great article. Thanks!

  2. rraghavus June 13, 2019

    Really very helpful article.. most topics are covered in one place with crisp information. Additionally ,It would be very helpful, if such article is available for Artificial Intelligence (AI) and Data Science as well.

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