Math behind Machine Learning & Artificial Intelligence using Python in Pune
RELATED RECENT PLACEMENTS
Omkar Dinkar
Akkodis
Top Engineering College in Nashik - MET Institute of Engineering, Bhujbal Knowledge City
Pushkar Sonwane
Akkodis
Deogiri Institute Of Technology & Manegement
Pravin Magar
Technorithmengg
Dr. D. Y. Patil Institute of Technology
Shruti Jadhav
Speed Engineering Solutions
Sandip University
Shubham Nashirkar
UPR Engineering Pvt Ltd
Shri Datta Meghe Polytechnic
Ritik Rathi
Cyient
Prof.Ram Meghe Institute of Technology & Research
Meghraj Patil
Tech Mahindra
Sinhgad College of Engineering, Pune
Akshay Pawar
Equilibrium Solutions
MET's Institute Of Engineering, Nashik, Maharashtra, India
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
Gradient descent
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.
Instructors profiles
Our courses are designed by leading academicians and experienced industry professionals.
1 industry expert
Our instructors are industry experts along with a passion to teach.
8 years in the experience range
Instructors with 8 years extensive industry experience.
Areas of expertise
- Machine Learning
- Deep Learning
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