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Math behind Machine Learning & Artificial Intelligence using Python in Mumbai

A 3 month course which takes the student through all the math concepts that he/she requires to get into ML/AI domain

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies Python

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • Extension of machine learning course
  • Understanding of Mathematics behind different machine learning algorithms such as linear regression, principal component analysis etc
  • This course is very important if someone want to learn deep learning
  • This course also involves lot of Mathematics with pen and paper

Course Syllabus in Mumbai

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week - 01 Basic concepts

  • In this session, we will learn about
    • Sets
    • Subsets
    • Power set
    • Venn Diagrams
    • Trigonometric Functions
    • Straight lines
    • A.M, G.M, and H.M
    • Concepts of Vectors

Week - 02 Permutation & Combinations

  • In this week's session, we will learn about:
    • Introduction to permutation and combinations
    • Basics of permutation and combinations
    • Fundamental principle of counting
    • Permutations
    • Combinations 

Week - 03 Statistics - I

  • In this week's session, we will learn about:
    • First business moment
    • Second business moment
    • Third business moment
    • Fourth business moment

Week - 04 Probability

  • In this week's session, we will learn about:
    • Introduction to probability
    • Random experiments
    • Conditional probability
    • Joint probability
 

Week - 05 Statistics – II

  • In this week's session, we will learn about:
    • Z Scores
    • Confidence interval
    • Correlation
    • Covariance
 

Week - 06 Probability - II

  • In this week's session, we will learn about:
    • Introduction to probability - II
    • Uniform Distribution
    • Normal Distribution
    • Binomial Distribution
    • Poisson Distribution
 

Week - 07 Likelihood (for Logistic regression)

  • In this week's session, we will learn about:
    • Introduction to likelihood statistics
    • Odds
    • Log odds
    • Maximum likelihood vs probability
    • Logistic regression

 

Week - 08 Gradient descent (for Linear & Logistic regression)

  • In this week's session, we will learn about:
    • Loss function
    • Cost function
    • The gradient descent for linear regression
    • The gradient descent for logistic regression
 

Week - 09 Linear Algebra (for PCA)

  • In this week's session, we will learn about:
    • Matrices
    • Types of matrices
    • Operation on matrices
    • Eigen values
    • Eigen vectors
 

Week - 10 Derivatives (for Neural network)

  • In this week's session, we will learn about:
    • Derivatives
    • Intuitive ideas of derivatives
    • Increasing & decreasing function

Week - 11 Backpropagation (for Deep learning)

  • In this week's session, we will learn about:
    • Chain rule
    • Maxima & minima
    • Back propagation
    • The cost function for deep learning

Week - 12 Python

  • In this week's session, we will learn about:
    • Basics of Python
    • If else
    • For loop
    • Data types
 

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects in Mumbai

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Logistic regression

In this project, the students are expected to perform the "Logistic Regression Algorithm" taught in the course based on the given input data.

Gradient descent

In this project, the students are expected to perform the gradient descent for ANN in Python based on the given input data.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Advance Your Career in ML/AI With Math Behind Machine Learning & Artificial Intelligence Course Using Python

This course on Math behind Machine Learning & Artificial Intelligence using Python in Mumbai by Skill-Lync equips you with the fundamental knowledge of mathematics to advance your analytical skills and develop more accurate ML/AI models. If you are wondering how to learn AI and ML and looking for the best machine learning course, then Skill-Lync's machine learning online course is the course you should consider.

Mathematics is essential to build an algorithm for Machine Learning and Artificial Intelligence applications. This Math behind Machine Learning & Artificial Intelligence using Python course aims to provide extensive skills in mathematics necessary to design algorithms or perform data analytics using ML and AI systems. This machine learning certification course is ideal for students interested in learning about math concepts such as statistics, probability and linear Algebra which are essential in designing an algorithm for AI and ML applications. This machine learning crash course is taught using Python, which is the most widely used programming language for ML and AI.

FAQs 

Why should I enrol in this Machine Learning Certification course?

The significance of the ML/AI domain has been recently recognized by various sectors, which is why job opportunities for applicants with machine learning certification are immense. This machine learning course in Mumbai is thus a perfect course for those willing to understand the basics of mathematics used in machine learning algorithms.

What is the eligibility to join this course on machine learning training in Mumbai?

Students and professionals interested in gaining insights into the math behind Machine Learning & Artificial Intelligence can join this course. A technical background in Computer Science is highly recommended.

How much is the total program fee for this machine learning course in Mumbai?

The machine learning course fees in Mumbai range between INR 7,000 and 10,000 per month for three months for basic (2-months access) and pro (2-months access) plans, respectively. The premium (lifetime access) plan costs INR 15,000 per month for three months.

What will I benefit from enrolling in this Skill-Lync's best PG program in AI and machine learning? 

This is one of the best machine learning courses that will help you develop relevant skill sets to enter the domain of AI/ML. With traditional classroom teaching, this Skill-Lync machine learning crash course also applies practicum-based learning to provide students with a holistic learning experience. 

After completing this machine learning crash course, what job roles can I apply for?

You can explore the following career options after completing this machine learning training course in Mumbai:

  • Machine Learning Engineer 
  • ML/AI expert
  • Data scientist 
  • AI Data Analyst
  • AI Engineer

After graduating from this three-month course on Math behind Machine Learning & Artificial Intelligence using Python, what is the expected salary range? 

A fresher machine learning engineer earns an average salary of INR 6-7 LPA. And the average salary of a machine learning expert with 1-2 years of experience is around INR 8-9 LPA. This salary can substantially increase as you gain more experience in this domain.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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8 years in the experience range

Instructors with 8 years extensive industry experience.

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Areas of expertise

  • Machine Learning
  • Deep Learning

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