Scope Of Machine Learning and Applications In Real World
There’s a brilliant Scope Of Machine Learning In the Modern World, Being Data-Driven, including various Sectors like Finance, Business, etc. With The Data being produced at a massive rate, various job roles constitute Machine learning as an important skill. Those Job roles are
1. Machine Learning Engineer – They are professionals who develop the systems and various machine learning algorithms that learn, train on the input data being given, and give various predictions, output, and improvise on the previous data, experiences.
2. Deep Learning Engineer – They are professionals that specialize in advanced Machine Learning Concepts, deep learning, to develop various models, software related to artificial intelligence. Their main goal is to be able to make the machine behave, mimic, think, make decisions like humans.
3. Data Scientist – These are the professionals who extract meaningful insights from data and analyze those insights and giving respective business solutions based on those hidden patterns.
4. Computer Vision Engineer – They are software developers who design such algorithms for recognizing various patterns in images.
With Various Industries investing billions of dollars in the R&D of Artificial Intelligence, which is an application of Machine Learning, The demand and need for exploration in the field of Machine Learning will always be there.

7. Applications In Real World
There are many Real-world Applications Of Machine Learning, such as
1 Self-driving car,
2 Amazon Alexa Voice Assistant
3 Apple Siri Voice Assistant,
4 Netflix Recommender system
5 Image Recognition
6 Speech Recognition
7 Google Translator
8 Fraud Detection and many more.
Machine learning models can be deployed for various prediction models, including Weather prediction Model, Disease prediction Model, Stock Market Analysis, Car Price Prediction, Real Estate Prediction, etc.

Various Voice Assistants

Prerequisites For Machine Learning
- Fundamental knowledge Of Probability & Linear algebra.
- Familiarity with coding in computer language, especially in Python.
- Fundamental Knowledge of Calculus
- Well Acquaintances with Statistics
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