Before giving you Introduction to Machine Learning you should know what Ai (Artificial intelligence) is.
What is Ai ( Artificial intelligence )
Ai ( Artificial Intelligence ) is a field of computer science that focus on creating systems that mimic human intelligence . Basically ai systems are systems that are capable of solving taks and which requires human intelligence and mimicing it . These tasks may vary from reasoning , problrm solving , learning and preception . Ai system are designed to adapt to new information .
Need of Ai :
- To improve accuracy
- To do risking task human avoid
- to achieve more consistency
Machine learning
Maching Learning is nothing but just a sub set of Artificial Intelligence . That enables computers to learn from data in order to make decisons and predictions based on data . Unlike traditional method of programming , where instructions provided to achieve a specific task . Machine learning ( ml ) involves creating algorithm that will give computer permission to identify patterns , make predictions and to improve the performance over time based on experience .
After having an Introduction to Machine Learning , its time to learn aboout its components and uses .
Components of Machine Learning
- Data
- Models
- Algorithms
- Error Functions
- Evolution Metrics
Application of Machine Learning :
Healthcare :
Disease Diagnosis : Ml Models can analyze medical images and data to diagnose diseases for example diabetes, cancer and heart disease.
Finance :
Detecting Frauds : Identifying fraunds b analyzing pattern and abnomalities in financial data.
Education :
Personalized Learning : Adapting educational contant and learning speed based on performance of an individual student .
Grading And Assessment : Automating the process of grading of exams and assessments using ML algorithms .
Narutal Language Processing ( NLP ):
Language Translation : Translating text or speech from one language to another (for example : Google Translate ).
Chatsbots : Providing customer imformation and support through automated chat systems.
Text Analysis : Extracting information that is meaningful information from unsrtuctured text data for decision making and insights .
for more information visit : Machine Learnig documentary by IBM
