Artificial Intelligence Online Live Classes by Experts

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Our Training Process

Artificial Intelligence - Syllabus, Fees & Duration

Module 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

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 Kernel

  • 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

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Artificial Intelligence Jobs in New Plymouth

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Artificial Intelligence internship jobs in New Plymouth

Artificial Intelligence Internship/Course Details

Artificial Intelligence These errors can have a significant impact, ranging from wasting money to putting a patient's life in jeopardy. Artificial intelligence (AI) is the previously inconceivable ability of a computer-controlled robot to do tasks that would otherwise need human intelligence. Nestsoft is the best artificial intelligence institute in the area for recently graduated students and freshmen looking to expand their horizons. The creation of Ai may necessitate the use of a variety of languages and technologies to create a solution that meets a variety of aims and requirements. Learn how to create efficient AI, self-sustaining systems, cutting-edge AI models, Deep Q-Learning, A3C, and much more. Of course, simulating human intelligence is a difficult endeavor that necessitates expertise in areas such as cybersecurity, blockchain, robotics, generative AI with virtual reality, edge AI with IoT, and edge computing. Deep Learning is at the heart of AI, which might be a basic software development capability. Computers, on the other hand, will avoid making these errors if they are correctly programmed. Our online education program requires you to become an Advanced Industrial Technologies specialist. In some situations, AI-enabled machines are even smarter than humans.

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