Artificial Intelligence Training

Among the latest technological advancements, Artificial Intelligence stands foremost. ACTE is well familiar with the trends in AI and is poised to teach the importance of such technology to young budding professionals looking to enhance their career. Start learning in ACTE. ACTE Imparts Artificial Intelligence Class Room & Online Training Course Enroll Now!!!

Curriculum:

• Syllabus of Artificial Intelligence Course in TiruchirappalliModule 1: Introduction to Data Science
• What is Data Science?
• What is Machine Learning?
• What is Deep Learning?
• What is AI?
• Data Analytics & it’s types
• Module 2: Introduction to Python
• What is Python?
• Why Python?
• Installing Python
• Python IDEs
• Jupyter Notebook Overview
• Module 3: Python Basics
• Python Basic Data types
• Lists
• Slicing
• IF statements
• Loops
• Dictionaries
• Tuples
• Functions
• Array
• Selection by position & Labels
• Module 4: Python Packages
• Pandas
• Numpy
• Sci-kit Learn
• Mat-plot library
• Module 5: Importing Data
• Reading CSV files
• Saving in Python data
• Loading Python data objects
• Writing data to csv file
• Module 6: Manipulating Data
• Selecting rows/observations
• Rounding Number
• Selecting columns/fields
• Merging data
• Data aggregation
• Data munging techniques
• Module 7: Statistics Basics
• Central Tendency
• Probability Basics
• Standard Deviation
• Bias variance Trade off
• Distance metrics
• Outlier analysis
• Missing Value treatment
• Correlation
• Module 8: Error Metrics
• Classification
• Regression
• Module 9: Machine Learning
• Supervised Learning
• Linear Regression
• Logistic regression
• Module 10: Unsupervised Learning
• K-Means
• K-Means ++
• Hierarchical Clustering
• Module 11: SVM
• Support Vectors
• Hyperplanes
• 2-D Case
• Linear Hyperplane
• Module 12: SVM Kernal
• Linear
• Radial
• polynomial
• Module 13: Other Machine Learning algorithms
• K – Nearest Neighbour
• Naïve Bayes Classifier
• Decision Tree – CART
• Decision Tree – C50
• Random Forest
• Module 14: ARTIFICIAL INTELLIGENCE
• Perceptron
• Multi-Layer perceptron
• Markov Decision Process
• Logical Agent & First Order Logic
• AL Applications
• Module 15: Deep Learning Algorithms
• CNN – Convolutional Neural Network
• RNN – Recurrent Neural Network
• ANN – Artificial Neural Network
• Module 16: Introduction to NLP
• Text Pre-processing
• Noise Removal
• Lexicon Normalization
• Lemmatization
• Stemming
• Object Standardization
• Module 17: Text to Features
• Syntactical Parsing
• Dependency Grammar
• Part of Speech Tagging
• Entity Parsing
• Named Entity Recognition
• Topic Modelling
• N-Grams
• TF – IDF
• Frequency / Density Features
• Word Embedding’s
• Module 18: Tasks of NLP
• Text Classification
• Text Matching
• Levenshtein Distance
• Phonetic Matching
• Flexible String Matching