Online Machine Learning Training Course Institute in Chandigarh Sec 34.pdf

unlock the power of artificial intelligence with our comprehensive Machine Learning course in Chandigarh. Designed for both beginners and experienced professionals, this course will equip you with the skills needed to excel in the rapidly evolving field of machine learning.

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2. INTRODUCTION
Machine Learning is a type of Artifical Intelligence that
allows computers to learn without being explicitly
programmed

3. WHAT IS MACHINE
LEARNING?
Machine Learning is a subset of artifical intelligence that
enables a system to autonomouslyblearn and improve
using neural networks and deep learning, without being
explicitly programmed, by feeding it large amounts of
data.

4. Reinforcement
Learning
Computer
Vision
KEY CONCEPT
Machine
Learning
Natural
Language
Processing
Neural
Network
Ethical AI

5. ROLES OF DATA IN
MACHINE LEARNING
Training Machine Learning Models
Future Engineering
Testing and Evaluation
Anomaly Detection
Data Augmentation

6. TYPES OF
MACHINE
LEARNING?
Supervised Learning
Unsupervised Learning
Reinforcement Learning

7. DEPLOYMENT AND INTEGRATION
DATA PREPARATION MODEL DEVELOPMENT MODEL EVALUATION
Data preparation is the later stage
of the ML lifecycle. Firstly, the
data is collected from various
sources, and later garbage data is
cleaned and transformed into
real-time machine learning
projects to uncover insights or
make predictions. Machine
learning also helps to find
patterns in data to make accurate
predictions and construct the
data sets and transform the data
correctly
Model deployment in
machine learning is the
process of integrating
your model into an
existing production
environment where it can
take in an input and
return an output. The
goal is to make the
predictions from your
trained machine learning
model available to
others.
Model evaluation is the
process of using different
evaluation metrics to
understand a machine
learning model's
performance, as well as its
strengths and weaknesses.
Model evaluation is
important to assess the
efficacy of a model during
initial research phases, and it
also plays a role in model
monitoring

8. Benefits of machine learning
Natural language processing1.
Natural language processing
Recognising images
Data mining
Autonomous
vehicles
Better advertising
and marketing