Artificial Intelligence Training 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 Toowoomba

Enjoy the demand

Find jobs related to Artificial Intelligence in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Toowoomba, chennai and europe countries. You can find many jobs for freshers related to the job positions in Toowoomba.

  • Artificial Intelligence Specialist
  • Senior Data Scientist
  • Data Cloud AI Architect
  • Senior AI Engineer
  • Computer Vision Engineer
  • Project Manager -AI
  • Machine Learning
  • Data Analytics & AI
  • AI Engineer Trainee
  • Data Engineer-AI

Artificial Intelligence Internship/Course Details

Artificial Intelligence internship jobs in Toowoomba
Artificial Intelligence Computers, on the other hand, will avoid making these errors if they are correctly programmed. Artificial intelligence is an arena of training that looks into how intelligent human behavior can be replicated on a machine. Our online education program requires you to become an Advanced Industrial Technologies specialist. We do, however, have several successful applications. Firms can use this to simulate various scenarios and change the required activities to increase efficiency. Learn how to create efficient AI, self-sustaining systems, cutting-edge AI models, Deep Q-Learning, A3C, and much more. . Even though AI has been studied for more than half a century, we have yet to produce a machine that is as intelligent as a human. These errors can have a significant impact, ranging from wasting money to putting a patient's life in jeopardy. Now and again, humans make blunders.

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The enviable salary packages and track record of our previous students are the proof of our excellence. Please go through our students' reviews about our training methods and faculty and compare it to the recorded video classes that most of the other institutes offer. See for yourself how TechnoMaster is truly unique.

List of Training Institutes / Companies in Toowoomba

  • UniversityOfSouthernQueensland(UniSQ) | Location details: UniSQ Toowoomba, 487-535 West St, Darling Heights QLD 4350, Australia | Classification: University, University | Visit Online: unisq.edu.au | Contact Number (Helpline): +61 1800 269 500
 courses in Toowoomba
The aim was to obtain a measurement system for social norms and community perceptions to inform a broader, more detailed study into the tourism transformation process. Institutions are collective human- designed action, such as government strategies, plans, policies or laws, business or industry norms, social norms, cultural beliefs or the general patterns of consumer behaviour (Mantzavinos, North and Shariq, 200 ). The literature indicates that clusters require leadership to grow and that direction can originate from government, as well as from the private sector (Pavlovich, 2003; McLennan, 2005). Institutions and perceptions are an important element of transformation (Mwangi, 2006), so it is appropriate that the dynamics of tourism transformation have been frequently investigated using resident perceptions of the industry (Allen, Long, Perdue and Kieselback, 1988; Andereck, Valentine, Knopf and Vogt, 2005; Andriotis, 2005; Ap, 1992; Belisle and Hoy, 1980; Besculides, Lee and McCormick, 2002; Harrill, 200 ; Horn and Simmons, 2002; Johnson, et al. , 199 ; Perdue, Long and Allen, 1990). Indeed, this has been extended to suggest that population perceptions can be indicators of destination decline (Faulkner & Tideswell, 1997; Diedrich & Garcia-Buades, 2009). Delamere 1997 Reid 2006 Petrosillo Zurlini Grato and Zaccarelli 2006). Transformation theory is about structural change that results from modifications of human institutions (Seliger, 2002). For example, Saarinen (200 ) argued that a destination’s image, knowledge, meanings and natural and cultural features over slowly stereotype and modify over the course of the transformation process, resulting in a loss of differentiation between destinations. This body of literature recognises the separation between structures and institutions, although they have been labelled objective and subjective indicators (Choi and Sirakaya, 2006).

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