ai & ml brochure - whataftercollege.com · ai & ml brochure author: aanchal aggarwal...
TRANSCRIPT
ArtificialIntelligence & Machine Learning
MAIN POINTS COVERED
Introduction Of Articial Intelligence
Python
Working on Various Python Library
Machine Learning
Deep Learning
Introduction Neural Network
Projects
SUMMARY OF TOPICS
Session 1
Introduction of Artificial Intelligence and Machine
Learning
Brief introduction to Machine Learning for AI
Classification of Machine Learning and Deep
Learning
Difference between Machine Learning and
Artificial Intelligence
Machine Learning Techniques
Types of Learning
Machine Learning System Design
Supervised Learning- Regression Classification
Future scope, Machine Learning And Artificial
Intelligence
Introduction Of Artificial Intelligence
Session 2
Python
Session 3
Working on Various Python Library
Introduction to python
Conditional Statements
Looping, Control Statements
Lists, Tuple ,Dictionaries
Functions
Installing Packages
Jupyter notebook
Installing library and packages for machine
learning and data science
Matplotlib
Scipy and Numpy
Pandas
IPython toolkit
Scikit-learn
What is Deep Learning?
Why Deep Learning?
Neural Networks
Types of Deep Learning
Artificial Neural Network
Session 4
Deep Learning
Session 5Logistic Regression
Linear Regression
K-Means Clustering
Support Vector Machines (SVM)
K-Nearest Neighbors (KNN) algorithm for
classification
Machine Learning
Session 6
Basic introduction - Neuron
The Neuron Diagram
Neuron Models
Activation function
Binary Step Function Linear Function Sigmoid
Tanh
RELU
Leaky ReLU
Single-layer feed-forward
Multi-layer feed-forward
Feedforward Neural Networks
INTRODUCTION NEURAL NETWORK
Classifying MNIST digits using Random Forest
Customer churn prediction using ANN
Image Segmentation using openCv
Face Detection using Haar Cascades
Making snapchat Filters
PROJECTS
DURATION
16 hrs - 9:00 AM -5:00
PM on both the daysELIGIBILTY
Training will be from
imparted from basic level.
No prior knowledge is
required
CERTIFICATION
Certificate of Participation
will be provided
Well Structured
Delivery Formats
Top Notch
Faculty
Guided Hands-
On Projects
Career Roadmap
Guidance
BENEFITS
ADDRESS
1009, Indraprakash Building, Barakhamaba Road, Connaught Place, New
Delhi, Delhi 110001
PHONE
9643209209
whataftercollege.com
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WEBSITE