Artificial Intelligence Training in Coimbatore

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    Artificial Intelligence – AI – Course in Coimbatore

    Learn Artificial Intelligence concepts with 100% practical Training in the Certificate Course in Artificial Intelligence and Deep Learning Training in Coimbatore.

    The major thrust of Artificial Intelligence is to enhance computer functions which are associated with how people try to resolve their difficulties with their capacity to think, learn, decide, and work. Today, AI is powering different areas like banking, healthcare, robotics, engineering, and marketing hugely. Artificial Intelligence Course is going to make a revolution in various sectors and there’s much potential in an AI career. With a lack of skillful and qualified specialists in this field, several organizations are coming up and searching for the most skilled talent. It is clear that the AI course is quickly changing every sphere of our life and is taking technology to a completely new level. It is describing the poetry of new-age innovations in Robotics, Smart Homes, and Autonomous Vehicle.

    Artificial Intelligence Training in Coimbatore for freshers

    The Artificial Intelligence training in Coimbatore offers you the concept of AI is the method of educating machines to simulate the style humans learn. Start your career in AI through the certification program on Artificial Intelligence Course in Coimbatore and Deep Learning in Coimbatore. Develop Artificial Intelligence systems applying Deep Learning and Machine Learning algorithms with the support of this Artificial Intelligence Course.

    Develop AI solutions using Python libraries. Execute Deep Learning solutions with CNN’s and empower Natural Language Processing (NLP) with RNN’s. Practice GPUs and TPUs in Deep Learning algorithms. Master the concepts of Artificial Intelligence at Appin Coimbatore – the best Artificial Intelligence Course in Coimbatore.

    What is Artificial Intelligence?

    AI is creating a smart computer that makes machines intelligent so they can act, plan, think, and handle objects like humans. Due to extensive increases in data acquisition and new algorithms, AI has gained fast improvement in the last decade. It is going to produce newer and more jobs and liberates people from repeated physical tasks. Businesses are using image recognition, machine learning, and deep learning in the fields of advertisement, defense, and automobiles to serve customers better. Digital assistants like Alexa or Siri are providing more intelligent answers to questions and making various tasks and assistance with just a voice command.

    Career Path

    This Artificial Intelligence Course has been prepared and structured for students who are interested in launching their careers as AI Developers. In the modules, training is given on building AI systems using Deep Learning algorithms. Our Trainer Gives You Best Training Of AI And Here Artificial Intelligence Fees In Coimbatore Also Nominal. Our Students Have Been Able To Get Good , High Paying Jobs In The Industry And This Is Due To The Quality Of The Artificial Intelligence Training In Coimbatore. The student learns to run all modifications of Neural Network Machine Learning Algorithms. This program allows the students to perform Deep Learning solutions and perform Text Analytics and Natural Language Processing (NLP) using Recurrent Neural Networks. The usage of Python libraries, GPUs, and TPUs in solving Deep Learning problems in this best Artificial Intelligence Course in Coimbatore.

    Artificial Intelligence Training Outcomes in Coimbatore

    This AI Training in Coimbatore offers you to the concept of Artificial Intelligence Course in Coimbatore and Deep learning Course in Coimbatore and assists you in learning Neural Network Architectures, Supervised and Unsupervised Learning, Decision Tree Learning, and Structuring of Algorithms for new AI instruments along with studying to reduce errors through advanced optimization methods.

    Artificial intelligence is always correlated to human intelligence when it comes to resolving complex human-centered problems. It has been researching and analyzing how to combine intelligent human behaviors in a computer. This course provides a challenging road for investigating the basic principles, methods, strengths, and weaknesses of the different applications of Artificial Intelligence. Students will also get an understanding of the current scope, and limitations of artificial intelligence globally.

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    Artificial Intelligence Training in Coimbatore

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    AI enables you to develop , deploy and use exciting applications.

    Course Features

    Duration – 2 Month
    Batch – Regular
    Weekend Batch Saturday – Sunday
    Timing – Monday – Friday
    Job Assistance – 100%
    Project based training – Yes
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    Certificates

    Core Java Course Syllabus

    Artificial Intelligence Syllabus

    • What is Data Science?
    • What is Machine Learning?
    • What is Deep Learning?
    • What is AI?
    • Data Analytics & it’s types

    Introduction to Python

    • What is Python?
    • Why Python?
    • Installing Python
    • Python IDEs
    • Jupyter Notebook Overview

    Python Basics

    • Python Basic Data types
    • Lists
    • Slicing
    • IF statements
    • Loops
    • Dictionaries
    • Tuples
    • Functions
    • Array
    • Selection by position & Labels

    Python Packages

    • Pandas
    • Numpy
    • Sci-kit Learn
    • Mat-plot library

    Importing Data

    • Reading CSV files
    • Saving in Python data
    • Loading Python data objects
    • Writing data to csv file

    Manipulating Data

    • Selecting rows/observations
    • Rounding Number
    • Selecting columns/fields
    • Merging data
    • Data aggregation
    • Data munging techniques

    Statistics Basics

    • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
    • Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
    • Standard Deviation
    • Data deviation & distribution
    • Variance
    • Bias variance Trade off
    • Underfitting
    • Overfitting
    • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
    • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • Scatter plot
    • Cook’s Distance
    • Missing Value treatment
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
    • Correlation
    • Pearson correlation
    • Positive & Negative correlation

    Error Metrics

    • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
    • Regression
    • MSE
    • RMSE
    • MAPE

    Data Exchange – Course modules

    • Hyper Text Transfer Protocol (HTTP)
    • Detailed course contents:
    • Introduction to HTTP HTTP Parameters
    • HTTP Messages HTTP Request HTTP Response HTTP Methods
    • HTTP Status Code HTTP Header Fields Registration
    • HTTP Authentication
    • HTTP Caching
    • HTTP URL Encoding HTTP Security

    Supervised Learning

    • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
    • Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure Bias Variance Tradeoff
    • ROC curve
    • Bias Variance Tradeoff

    Unsupervised Learning

    • K-Means
    • K-Means ++
    • Hierarchical Clustering

    SVM

    • Support Vectors
    • Hyperplanes
    • 2-D Case
    • Linear Hyperplane

    SVM Kernal

    • Linear
    • Radial
    • polynomial

    Other Machine Learning algorithms

    • K – Nearest Neighbour
    • Naïve Bayes Classifier
    • Decision Tree – CART
    • Decision Tree – C50
    • Random Forest

    ARTIFICIAL INTELLIGENCE

    AI Introduction

    • Perceptron
    • Multi-Layer perceptron
    • Markov Decision Process
    • Logical Agent & First Order Logic
    • AL Applications

    Deep Learning Algorithms

    • CNN – Convolutional Neural Network
    • RNN – Recurrent Neural Network
    • ANN – Artificial Neural Network

    Introduction to NLP

    • 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

    Tasks of NLP

    • Text Classification
    • Text Matching
    • Levenshtein Distance
    • Phonetic Matching
    • Flexible String Matching

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