AI Training in Gurgaon
Artificial Intelligence or more commonly known as AI deals with the machine making process. These machines are programmed to perform a variety of different tasks which use the help of artificial intelligence. Visual perception, speech and face recognition, decision making and natural language processing are among the elements that are involved for creating AI bots. Candidates who take up this course will become proficient in creating expert systems, human intelligence, and analytics path.
Course Content
Introduction to Artificial Intelligence
- Importance of Artificial Intelligence
- Applications of AI
- Branches AI
- Define intelligence testing
- Rational agents
- General problem solver
- Building an intelligent agent
What is NumPy
- Data types in NumPy
- NumPy Arrays
- NumPy array attributes
- Accessing single elements
- Array slicing
- Reshaping arrays
- Concatenation and splitting
- Slowness of Loops
- UFuncs
- Advanced UFuncs features
- Computation on arrays
- Broadcasting
- Boolean arrays as masks
- Fancy Indexing
Data Manipulation with Pandas
- Installing Pandas
- Using panda objects
- Panda series objects
- Dataframe objects
- Pandas Index Object
- Data indexing and selection
- Operating Data on pandas
- Missing Data in Pandas
- Rearranging Multi-Indices
- Data aggregation on Multi Indices
- Relational Algebra
Machine Learning
- Introduction to Machine Learning
- Machine learning categories
- Supervised and unsupervised machine learning
- Products and machine learning
Linear Regression
- House price prediction
- Simple linear regression
- Polynomial linear regression
- Linear regression cost function
- Linear regression using matrix
Logistic Regression
- Iris dataset and logistic regression
- Linearly separable data
- Cost function
- Mathematical Foundation
Naive Bayes Classification
- Bayesian classification
- Gaussian Naive Bayes
- Multinomial Naive Bayes
- Using Naive Bayes
K-means clustering
- Introduction to k-means
- Cost function for unsupervised algorithm
- Elbow rule and decide number of clusters
- Image compression
Random Forests
- Understanding decision trees
- Printing tree
- Motivating random forests
- Ensemble estimators
- Random forest regression
- Random forest for classifying digits
- Gradient tree boosting
Generic Algorithms
- Fundamentals of generic algorithms
- Visualizing evolution
- Symbol regression
- Intelligent robot controller
- Bit pattern with pre-defined parameters
Natural Language processing
- Tokenizing text data
- Stemming & Lemmatization
- Text data division
- Category predictor
- Gender identifier
- Sentiment analyzer
- Latent Dirichlet Allocation
