Machine learning (ML) enables computers to learn from data without explicit programming, creating a high demand for specialists across various industries. Key skills include programming (Python or R), mathematics (statistics and probability), and familiarity with ML tools like TensorFlow and PyTorch. Educational paths involve degrees in computer or data science, online courses, and certifications, with job roles such as data scientist and ML engineer offering competitive salaries.

1. MACHINE
LEARNING
SPECIALIST
B E C O M I N G A
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2. INTRODUCTION
What is Machine Learning
(ML)?
A way for computers to learn
from data without being
programmed.
Why ML Specialist?
High demand and great
salaries in every industry.
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3. WHAT YOU NEED TO LEARN
Programming: Python
or R.
Math: Statistics and
Probability.
ML Tools: TensorFlow,
PyTorch, Scikit-learn.
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4. EDUCATIONAL OPTIONS
Degrees: Computer
Science or Data Science.
Online Courses:
Coursera, Udemy (Start
with Andrew Ng's ML
course).
Certifications: Google
or AWS ML
certifications.
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5. CORE CONCEPTS TO KNOW
Data Cleaning and
Preprocessing.
Types of ML:
Supervised,
Unsupervised, and
Reinforcement Learning.
Deep Learning: Neural
Networks and CNNs.
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6. BUILD A PORTFOLIO
Create projects like:
Predicting prices (e.g.,
houses or stocks).
Analyzing text for
sentiment.
Classifying images.
Share work on GitHub or
LinkedIn.
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7. JOBS AND SALARIES
Job Roles: Data Scientist,
ML Engineer, AI Developer.
Current Salaries:
Entry-level: ₹4,00,000 to
₹8,00,000 per annum.
Experienced:₹15,00,000 to
₹25,00,000 per annum.
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8. HOW TO START
Learn Python and
Statistics.
Take beginner ML
courses online.
Work on small projects.
Network on LinkedIn or
Kaggle.
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9. NETWORKING AND GROWTH
Join ML groups on
Kaggle, GitHub, or
Reddit.
Attend AI events and
conferences.
Follow experts and
read blogs.
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10. CHALLENGES AND TIPS
Challenges: Tough
concepts, rapid
updates in tools.
Tips:
Learn step by step.
Keep practicing.
Ask for help from
mentors.
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11. FINAL THOUGHTS
ML is an exciting and
fast-growing field.
Start small, learn
continuously, and
grow your skills.
The future is bright
for ML specialists!
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12. THANK YOU
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