Differences between Machine Learning ML Artificial Intelligence AI and Deep Learning DL is for the mid level managers to give information about what is AI, what is Machine Learning, what is deep learning, Machine learning process. You can also know the difference between Machine learning and Deep learning to understand AI, ML, and DL in a better way for business growth. https://bit.ly/2zFJeSC

1. Differences between Machine
Learning ML Artificial Intelligence
AI and Deep Learning DL
Your C ompany N ame

2. 2
Difference between AI vs ML vs DL01
o What is AI?
o What is ML?
o What is Deep Learning?
o Machine Learning Process
o Deep Learning Process
o Difference between Machine Learning and Deep Learning
o Which is better to start AI,ML or Deep learning

3. Difference between AI vs ML vs DL
3This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
Engineering of
making intelligent
machines and
programs
Artificial
Intelligence
Ability to learn without
being explicitly
programmed
Machine
Learning
Learning
based on deep
neural network
Deep
Learning

4. 4
What is AI?
Artificial
Intelligence
(AI) is a popular branch of computer science that
concerns with building “intelligent” smart
machines capable of performing intelligent tasks.
With rapid advancements in deep learning and
machine learning, the tech industry is
transforming radically.
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5. What is ML?
5
Ordinary System With AI Machine Learning
Machine Learning
is a type of AI that enables machines to learn from data and deliver predictive models. The
machine learning is not dependent on any explicit programming but the data fed into it. It is a
complicated process. Based on the data you feed into machine learning algorithm and the training
given to it, an output is delivered. A predictive algorithm will create a predictive model.
Introduction to Machine learning
Learns
Predicts
Improves
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6. What is Deep Learning?
6
Artificial intelligence (AI) is a popular branch of
computer science that concerns with building
“intelligent” smart machines capable of
performing intelligent tasks.
With rapid advancements in deep learning and
machine learning, the tech industry is
transforming radically.
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7. Modelling
Candidate & Final
Visualisation
Predictions & Strategy
Data
Raw & Training Data
Machine Learning Process
7
Data
Gathering
Data
Cleaning
Selecting
Right Algorithms
Building
Model & Finalising
Data Transformation
into Predictions
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8. Deep Learning Process
8
Understand
the Problem
Identify
Data
Select Deep
Learning
Algorithm Training
the Model
Test
the Model
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9. Difference between Machine Learning and Deep Learning
9
Machine Learning
Input Feature Extraction Classification Output
Car
Not Car
Deep Learning
Input OutputFeature Extraction + Classification
Car
Not Car
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10. Which is better to start AI,ML or DL?
10
Any Technique which enables computers to mimic human
behavior.
Artificial Intelligence
Subset of ML which make the Computation of Multi-layer
Neural Networks Feasible.
Deep Learning
Subset of AI Techniques which use Statistical Methods to
Enable Machines to Improve with Experiences.
Machine Learning
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