AI & DEEP LEARNING

AI and Deep Learning Training in Mumbai

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Classroom and Online Courses by Certified Experts

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About AI And Deep Learning Training Course in Mumbai

Deep learning is an artificial intelligence function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network. Deep learning is an AI function that mimics the workings of the human brain in processing data for use in decision making. Deep learning AI is able to learn from data that is both unstructured and unlabeled. Deep learning, a machine learning subset, can be used to help detect fraud or money laundering. Start Learning with us Wings Academy AI And Deep Learning Classroom and Online Training Course.

Syllabus of Artificial Intelligence(AL) & Deep Learning Course in Mumbai

 Introduction to Data Science

  • 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

 Machine Learning

  • 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
  • Text Pre-processing
  • Noise Removal
  • Lexicon Normalization
  • Lemmatization
  • Stemming
  • Object Standardization
  • Text to Features (Feature Engineering)
  • 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

 Design Effective Reports

  • Enhance report design
  • Add report objects to enhance design
  • Format data and report objects
  • Add a background image to a report
  • Add row numbers to a report

Customize Reports with Conditional Formatting

  • Create multi-lingual reports
  • Highlight exceptional data
  • Show and hide data
  • Conditionally render objects in reports

Analysis Studio

  • Analysis Studio Fundamentals
  • Nest Data in Crosstabs in Analysis Studio
  • Create Analysis with Multiple filter
  • Reusable analysis
  • Build Advanced Crosstabs in Analysis Studio
  • Focus with Filters in Analysis Studio
  • Creating reports from cubes
  • Drill down and drill up

 Event Studio

  • Introduction to Event Studio
  • Create an agent
  • Add tasks to an agent
  • Run an agent through its lifecycle
  • Schedule an agent

 Business Insight

  • Introdcution to Dashboards
  • Create Dashboard
  • Types of Filter-Value, Slider and advanced filter
  • Overview of RSS Feed and web Page
  • Content Pane
  • Create Widgets
  • Sort, Filter and Calculate data
  • Hands on

 Business Insight Advanced

  • Overview of Business Intelligence Advance level
  • Create Different types of Reports
  • Reporting Styles and filters
  • Create dashboard objects
  • Summarize data and Create Calculations
  • Dispatcher and Services

 Dispatcher in detail

  • All Services
  • Properties of Services

About Experienced AI and Deep Learning Trainer

  • Our AI and Deep Learning Training in Mumbai. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are AI and Deep Learning domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best AI and Deep Learning training to the students.