Difference between Machine Learning & Data Science

Difference between Machine Learning & Data Science

Machine LearningData Science
Machine Learning is a subset of Data Science that provides machines with the ability to learn automaticallyData Science is a process of extracting useful insights from data by using a variety of tools, algorithm and ML
Machine Learning Stages
1.Import Data
Data Science Stages-
1. Business Requirements
2.Data CLeanig2. Data Acquisition
3.Build Model3. Data Processing
4. Train Model4. Data Exploration
5.Test Model5.Modeling
6. Improve Efficiency6. optimization
ML Engineer Work Duties-
>Help data scientist deploy models to production
>Maintainer and creator of ML infrastructure and tools
Data Scientist Work Duties-
>Build Prototypes
>Present insights or data stories to stakeholders.
User’s of ML infrastructure and tools.
Skills Required :
JAVA,C++,Scala,Python,Julia
Data structures, Algorithms
Strong software engineering skills
Skills Required:
Python, R
BI tools: Tableau, Power BI
Storytelling & Creative skills

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