Introduction with Artificial Intelligence.
- What is AI (Artificial Intelligence) ?
- What types of intelligences we are talking about?
- Different definitions and Ultimate goal of AI.
- What are application areas for AI?
- History of AI and some real life examples of AI.
ML and other related terms to AI.
- What is ML and How it is related with AI?
- What is NLP and How it is related with AI?
- What is DL and How it is related with ML and AI?
- What are ANNs and DNNs and How are they related to AI?
A working example of AI and ML.
Project 1 – These simple tasks are to make you understand how AI and ML can find their applications in real life.
Python libraries for ML.
- What are Libraries, packages and Modules?
- What are top Python libraries for ML in Python?
Setting up Anaconda development environment.
- Why choosing Anaconda development environment?
- Setting up Anaconda development environment on Windows 10 PC.
- Verifying proper installation of Anaconda environment.
Getting into core development of ML.
- What is a classifier in ML?
- Important elements and flow of any ML projects.
- Let’s develop our first ML program – explanations
- Let’s develop our first ML program – development
Project – 2
These simple tasks are going to give you some great experience with Machine Learning introductory programs or better say, “Hello world” programs of Machine Learning.
Different ML techniques.
- What all ML techniques are there?
- Evaluation methods of all ML techniques.
(IRIS flower project) Developing complete project of ML.
- Developing complete ML project – understanding data set
- Developing complete ML project – understanding flow of project
- Developing complete ML project – visualizing data set through Python
- Developing complete ML project – development
- Developing complete ML project – concepts explanations
- –(Digit recognition project) Developing another project of ML.
- After completing these project, you have done and understood multiple complete projects of Machine Learning.