PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
Agenda
01
What Is Data
Science?
02
What Is Machine
Learning?
Use Case
0403
Fields Of Data
Science
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
What Is Data Science?
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
What Is Data Science?
Data Science is the process of extracting useful insights from data by using a variety of tools,
algorithms and Machine Learning fundamentals.
Programming + Statistics + Business
Data Science Domains
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
What Is Machine Learning?
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
What Is Machine Learning?
Machine learning is a subset of Data Science which provides machines the ability to learn automatically & improve
from experience without being explicitly programmed.
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
Fields Of Data Science
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
Fields Of Data Science
Data Science
Artificial
Intelligence
Machine
Learning
Deep
Learning
•Data science is the extraction of knowledge from data
by using different techniques and algorithms
•Artificial Intelligence is a technique which enables
machines to mimic human behaviour
•Machine Learning is a subset of AI technique which
uses statistical methods to enable machines to improve
with experience
•Deep learning is a subset of ML which make the
computation of multi-layer neural network feasible
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
Use Case
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
Recommendation System
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
Data Science
01
02
03
04
05
06
Business Requirements
Data Acquisition
Data Processing
Data Exploration
Modelling
Optimization
• User ratings
• Comments
• Cart history
• Missing values
• Fake reviews
• Unnecessary data
• Understand patterns
• Retrieve useful
insights
• Find optimal features
• Build and evaluate
Machine Learning model
Monitor the performance
of the model
PYTHON CERTIFICATION TRAINING FOR DATA SCIENCE www.edureka.co/python
Machine Learning
Modelling
Import Data
Data Cleaning Train Model Improve Efficiency
Test ModelBuild Model
Data Science vs Machine Learning – What’s The Difference? | Data Science Course | Edureka

Data Science vs Machine Learning – What’s The Difference? | Data Science Course | Edureka

  • 1.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python
  • 2.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python Agenda 01 What Is Data Science? 02 What Is Machine Learning? Use Case 0403 Fields Of Data Science
  • 3.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python What Is Data Science?
  • 4.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python What Is Data Science? Data Science is the process of extracting useful insights from data by using a variety of tools, algorithms and Machine Learning fundamentals. Programming + Statistics + Business Data Science Domains
  • 5.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python What Is Machine Learning?
  • 6.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python What Is Machine Learning? Machine learning is a subset of Data Science which provides machines the ability to learn automatically & improve from experience without being explicitly programmed.
  • 7.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python Fields Of Data Science
  • 8.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python Fields Of Data Science Data Science Artificial Intelligence Machine Learning Deep Learning •Data science is the extraction of knowledge from data by using different techniques and algorithms •Artificial Intelligence is a technique which enables machines to mimic human behaviour •Machine Learning is a subset of AI technique which uses statistical methods to enable machines to improve with experience •Deep learning is a subset of ML which make the computation of multi-layer neural network feasible
  • 9.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python Use Case
  • 10.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python Recommendation System
  • 11.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python Data Science 01 02 03 04 05 06 Business Requirements Data Acquisition Data Processing Data Exploration Modelling Optimization • User ratings • Comments • Cart history • Missing values • Fake reviews • Unnecessary data • Understand patterns • Retrieve useful insights • Find optimal features • Build and evaluate Machine Learning model Monitor the performance of the model
  • 12.
    PYTHON CERTIFICATION TRAININGFOR DATA SCIENCE www.edureka.co/python Machine Learning Modelling Import Data Data Cleaning Train Model Improve Efficiency Test ModelBuild Model