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Math behind Machine Learning & Artificial Intelligence using Python in Pune

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 Pune

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 Pune

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

Strengthen Your Portfolio with Our Machine Learning and Artificial Intelligence Course in Pune

Skill-Lync brings you a three-month fully online machine learning crash course to help you learn the math behind Machine Learning (ML) and Artificial Intelligence. This thoughtfully designed AI and ML course for beginners imparts the knowledge of mathematical concepts on machine learning, like linear regression and principal component analysis.

It is one of the best AI and ML courses for beginners in Pune, through which you will learn the fundamentals of mathematics like Venn diagrams, Trigonometric functions, Vectors, Permutations & Combinations and Statistics. This machine learning online course provides hands-on training in Python and lets you work on real-time industry projects.

Suppose you are confused about where to learn artificial intelligence training and are searching for the best machine learning course. In that case, this 12-weeks artificial intelligence course in Pune is the right choice for you to set your foot in the most in-demand future-tech industry. Enrol today for this artificial intelligence and machine learning certification and give a kick-start to your career. 

Frequently Asked Questions About Math Behind Machine Learning & Artificial Intelligence in Pune

Why choose Skill-Lync’s machine learning course Math behind Machine Learning & Artificial Intelligence using Python in Pune?

In this artificial intelligence training in Pune, you get the guidance of experienced industry experts in learning the math fundamentals like sets, functions, and statistics. Besides, you have hands-on training in python where you can implement these concepts and understand the usability of AI and ML.

What are the prerequisites for taking up Math behind Machine Learning & Artificial Intelligence using Python in Pune?

Engineering students and professionals with a keen interest to learn about the algorithms of ML and AL applications can pursue this artificial intelligence course in Pune.

What is the program fee for the Math behind Machine Learning & Artificial Intelligence using Python in Pune?

Skill-Lync offers three plans for artificial intelligence training in Pune: Basic, Pro, and Premium. The Basic plan is available at INR 7000 per month for three months for two months of access. The Pro plan is available at INR 10000 per month for three months for four months of access. The Premium plan is available at INR 15000 per month for three months with a lifetime access.

What are the benefits of choosing the Math behind Machine Learning & Artificial Intelligence using Python in Pune?

The ML courses in Pune by Skill-Lync will train you in mathematical concepts of AI and ML. You will gain hands-on training in Python and will learn directly from industry experts who have expertise in ML and Deep Learning. Also, you will work on industry projects during your course work.

What are the career prospects of Math behind Machine Learning & Artificial Intelligence using Python in Pune?

After completing the Math Behind Machine Learning & Artificial Intelligence course you can work as,

  1. AI Engineer
  2. AI Data Analyst
  3. Data Engineer
  4. Machine Learning Engineer
  5. AIML Technologist
  6. AIML Architect

What is the expected salary range after completing the course Math behind Machine Learning & Artificial Intelligence using Python in Pune?

Machine Learning engineers can earn an average salary of 7.5 Lakhs per annum in India. However, salary would primarily depend upon your expertise.

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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