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Math behind Machine Learning & Artificial Intelligence using Python in Bangalore

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 Bangalore

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 Bangalore

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

Gain Hands-On Industry Experience by Taking the Math Behind Machine Learning & Artificial Intelligence Course In Bangalore

The Skill-Lync's 'Math Behind Machine Learning & Artificial Intelligence Using Python' is a three-month AI and Machine Learning course. The course focuses on applying all prominent ML & AI mathematical concepts and methodologies, leveraging Python as a tool. This industry-experts-led machine learning certification is specifically designed to help learners comprehend the mathematical concepts underneath various machine learning models and algorithms.

This program is among the top Machine Learning and AI courses in Bangalore and is an ideal option for you to embark on your journey to get upskilled. The curriculum of this machine learning crash course covers crucial mathematical concepts for designing algorithms. The math concepts include Permutation & Combinations, Statistics, Probability, Logistic regression, Gradient descent, Linear Algebra, Derivatives, Backpropagation, and Python.

The machine learning online course also comprises two comprehensive projects on Logistic regression and Gradient descent to help deliver exhaustive Artificial Intelligence and machine learning training in Bangalore.

FAQs 

1. Why should you go for the Skill-Lync's Math behind Machine Learning & Artificial Intelligence using Python program in Bangalore?

The World Economic Forum has listed out that the AI and Machine Learning Specialists jobs are the second highly demanded job. Skill-Lync's Math Behind Machine Learning & Artificial Intelligence is one of the best machine learning courses. This course would teach you industry-relevant skills which would increase your employability.

2. What are the prerequisites for taking the Skill-Lync's Math behind Machine Learning & Artificial Intelligence using Python program in Bangalore?

This machine learning course in Bangalore is open to all software programmers, developers, students, professionals, and anyone interested in pursuing a sunrise AI and ML career.

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

The Skill-Lync's machine learning course fees in Bangalore vary as per the candidates' requirements. They can choose two months of access with the Basic plan (at INR 7000 per month for 3 months), 4 months of access with Pro (at INR 10,000 per month for 3 months), and lifetime access with a Premium plan (at INR 15,000 per month for 3 months).

4. What are the benefits of pursuing the Math behind Machine Learning & Artificial Intelligence using Python program in Bangalore?

This AI and machine learning course in Bangalore will train you on the fundamental-to-advanced mathematical concepts and approaches of Machine Learning, Deep Learning & Artificial Intelligence, including linear regression and principal component analysis. Moreover, you will learn Python from the basics.

5. What are the career prospects after completing Math behind Machine Learning & Artificial Intelligence using Python program in Bangalore?

After successful completion of this Machine Learning course in Bangalore, you get upskilled to apply to several in-demand job positions in Bangalore like-

  • Business Intelligence(BI) Developer
  • Artificial Intelligence Programmer
  • Machine Learning Engineer 
  • Research Scientist
  • Big Data Engineer

6. What is the expected salary range after completing the Math behind Machine Learning & Artificial Intelligence using Python program in Bangalore?

The expected salary for AI and ML engineers ranges between ₹ 3.5 Lakhs to ₹ 21.9 Lakhs, with an average annual salary of ₹ 7.5 Lakhs.

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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