Learn ML & AI
Machine learning (ML) and artificial intelligence (AI) are two closely related fields that are transforming the way we interact with technology. ML is a subset of AI that focuses on the development of algorithms and models that enable computers to learn and improve from data, without being explicitly programmed.
AI, on the other hand, encompasses a broader range of technologies that enable computers to perform tasks that would normally require human intelligence, such as speech recognition, image recognition, and natural language processing.
One of the key benefits of ML and AI is their ability to automate and optimize tasks that were previously performed manually. This can lead to increased efficiency, accuracy, and productivity in many industries, including healthcare, finance, and manufacturing.
Who is This Training For?
- Someone who want to become a pro in ML & AI
- If you want to Design Website or Application
- Anyone who want to make money online in their free time
- Kids/Students/Professionals who want to learn the most demanding skill of 2023.
- If you want to learn Web Designing in a proper way
- If you want to become an entrepreneur.
- If you want to utilize your time/hobby for better.
What Can You Do After This?
- You can make a full time career in ML & AI
- You can start/grow your online business using skills that you learn
- You can get a job in software industry
- You can make an extra income online without leaving your home
- You can provide freelance services
- You will learn the most demanding skills of 2023
Learn ML & AI
Machine Learning
- Introduction
- Machine Learning - Mean Median Mode
- Machine Learning - Standard Deviation
- Machine Learning - Percentiles
- Machine Learning - Data Distribution
- Machine Learning - Normal Data Distribution
- Machine Learning - Scatter Plot
- Machine Learning - Linear Regression
- Machine Learning - Polynomial Regression
- Machine Learning - Multiple Regression
- Machine Learning - Scale
- Machine Learning - Train/Test
- Machine Learning - Decision Tree
- Machine Learning - Confusion Matrix
- Machine Learning - Hierarchical Clustering
- Machine Learning - Logistic Regression
- Machine Learning - Grid Search
- Preprocessing - Categorical Data
- Machine Learning - K-means
- Machine Learning - Bootstrap Aggregation (Bagging)
- Machine Learning - Cross Validation
- Machine Learning - AUC - ROC Curve
- Machine Learning - K-nearest neighbors (KNN)
Artificial Intelligence
- Definition and history of AI
- The different types of AI
- Applications of AI
- State-space search
- Uninformed and informed search algorithms
- Heuristic functions
- Propositional and predicate logic
- Semantic networks and frames
- Ontologies
- Text processing
- Parsing and syntax
- Semantic analysis
- Sentiment analysis