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https://www.eventshigh.com/detail/mumbai/e2bfb6a99415e178106bf5e696cb15df-artificial-intelligence-machine-learning-and

Artificial Intelligence: Machine Learning and Deep Learning Bootcamp

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Fri, 25 Oct 12:00PM - 4:00PM
riidl
Rs 15000
141 people viewed this event.

Pricing & Offers

Pricing & Offers
Zero convenience fee, ticket price shown below is the final price.
Fri, 25 Oct
, 12:00PM
- 4:00PM
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Details

Details

ABOUT THIS COURSE

The very first AI specialization course curated specifically for INDIAN audiences. The course is designed complementing the computer science syllabus being taught in Indian engineering colleges and this course will provide in-depth knowledge of today’s AI world. 

At the end of the course,  you will learn the foundations of Machine and Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about the implementation of every Supervised and Unsupervised algorithm its practical Industry use and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow / PyTorch, which we will teach.

 

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WHAT YOU WILL LEARN

WHAT YOU WILL LEARN

COURSEWORK

(45-50 Hours)

  1. Course Introduction
  2. Introduction to Python.
  3. Introduction to  Stats.
  4. Introduction to Calculus.
  5. DATA PROCESSING.

REGRESSION

  1. Simple Linear Regression
  2. Multiple Linear Regression
  3. Polynomial Regression
  4. Support Vector Regression (SVR)
  5. Decision Tree Regression
  6. Random Forest Regression.
  7. Evaluating Regression Models     Performance

 CLASSIFICATION

  1. Logistic Regression
  2. K-Nearest Neighbors (K-NNN)
  3. Support Vector Machine (SVM)
  4. Kernel SVM
  5. Naive Bayes
  6. Decision Tree Classification
  7. Random Forest Classification
  8. Evaluating Classification for Performance

CLUSTERING

  1. K-Means Clustering
  2. Hierarchical Clustering.

ASSOCIATION RULE LEARNING (NEW)

  1. Apriori
  2. Eclat

DEEP LEARNING (EXTRA)

  1. ARTIFICIAL NEURAL NETWORK.
  2. CONVOLUTIONAL NEURAL NETWORK 

INTRODUCTION TO REINFORCEMENT LEARNING (EXTRA)

INTRODUCTION TO NATURAL LANGUAGE PROCESSING (EXTRA)

DIMENSIONALITY REDUCTION  (EXTRA)

  1. Principal Component Analysis (PCA)
  2. Linear Discriminant Analysis (LDA)
  3. Kernel PCA

MODEL SELECTION AND BOOSTING  (EXTRA)

  1. Model Selection.
  2. XGBoost.
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Course Highlights

Course Highlights

COURSE HIGHLIGHTS

  • Python, Stats, Maths & Calculus
  • Data Processing.
  • Supervised & Unsupervised Learning
  • Recurrent Neural Networks
  • Generative Models
  • Reinforcement Learning.
  • Deep Learning.

OTHER

  • 45-50 Hours of Coursework
  • Weekly Multiple Assignment.
  • Profile Building.
  • Internship
  • Job Assistance.
  • Hackathon

CASE STUDIES

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Map & Directions

Map & Directions
riidl Room No. 520, Bhaskarachraya Building, Somaiya Vidyavihar, Vidyanagar, Vidya Vihar East, Vidyavihar, Mumbai, Maharashtra 400077, India
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FAQs
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EventsHigh Specials, driving, computer science, natural language processing, machine learning, healthcare, artificial intelligence, case studies, bootcamp, technology,