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Machine Learning Training, Course, Certification Institute in Noida, Delhi

Machine Learning Training @ APTRON

APTRON is a well established and the best machine learning training institute in Noida, Delhi, Gurgaon that has its machine learning course content designed for both basic as well as advanced machine learning training course. Machine Learning course in Noida, Delhi, Gurgaon at APTRON focuses on developing industry standard skills among the students thus helping them secure their dream jobs in the reputed MNCs.

APTRON is one of the largest Machine learning training centers that comprises of a high-tech infrastructure and 24x7 access to the lab facilities. The institute also provides provisions for opting multiple courses at Noida, Delhi, Gurgaon location. APTRON trains hundreds of students in machine learning course at a reasonable and affordable machine learning course fees structure that has been customized as per the course content requirement of each attendee.

Course Content and Syllabus for Machine Learning Training in Noida, Delhi, Gurgaon

Machine Learning Course Contents

Introduction Machine Learning

a. What is machine learning
b. Supervised learning
c. Unsupervised learning
d. Semi-Supervised machine learning
e. Models and algorithms
f. What is hypotheses

Understanding Problem

a. Problem description
b. How to prepare dataset (Training, Validation, and Testing Sets)
c. Features identification
d. Understanding features
e. Statistical analysis to better understand the features

Introduction to Optimization

a. Introduction to Optimization
b. What, When, Where, and Why of optimization

c. Types of optimization problems
i. Continuous optimization
ii. Discrete optimization
iii. Single objective
iv. Multiple objectives

d. Constraint optimization problems
e. Optimality criterion
f. Problem of convexity
g. Concept of penalty function

Linear Regression with One Variable

a. Understanding the need for linear regression
b. What, When, Where, and Why of linear regression
c. Linear regression model representation
d. Linear regression learning model
e. Gradient descent in linear regression
f. Making predictions with linear regression

Linear Algebra Basics

a. Matrices and vectors
b. Addition and scalar multiplication
c. Matrix vector multiplication
d. Matrix matrix multiplication
e. Matrix multiplication properties
f. Inverse and transpose

Linear Regression with Multiple Variables

a. Understanding multiple features

b. Gradient descent for multiple features
i. Feature scaling
ii. Learning rate

c. Polynomial regression
d. Normal equation
i. Solve non-invertibility problem
e. Prediction on multiple variables

Logistic Regression

a. Understanding the need for classification
b. What, When, Where, and Why of logistic regression
c. Hypothesis representation
d. Decision boundary
e. Cost function
f. Simplified cost function
g. Gradient descent for logistic regression
h. Advanced optimization
i. Multiclass classification: One vs all

The Bias-Variance Trade-Off

a. Bias error
b. Variance error
c. Bias-Variance trade-off
d. Overfitting and under fitting

Regularization

a. What is Regularization and its Need
b. What, When, Where, and Why of regularization
c. The Problem of Overfitting
d. Cost Function
e. Regularized Linear Regression
f. Regularized Logistic Regression

Neural Networks

a. Understanding non-linear hypothesis
b. What, When, Where, and Why of neural networks
c. Neurons and brain
d. Mathematical representation of a single neuron
e. Mathematical representation of neural networks
f. Understanding layers

i. Input layer
ii. Hidden layer
iii. Output layer

g. Multiclass classification
h. Cost function
i. Understanding backpropagation algorithm
j. Gradient checking and computation
k. Implementing backpropagation algorithm
l. Random initialization
m. Training neural networks
n. Prediction using neural networks

Support Vector Machine

a. Introduction to Support Vector Machine (SVM)
b. What, When, Where, and Why of SVM
c. Maximal-Margin classifier
d. Soft margin classifier
e. Support vector machines (Kernels)
f. How to train a SVM model
g. Difference between logistic regression and SVM

Unsupervised Learning Algorithm

a. What is clustering
b. What, When, Where, and Why of unsupervised learning
c. K-mean clustering

i. For separated clusters
ii. For non-separated clusters

d. Objective optimization
e. Random initialization
f. Choosing number of clusters

Dimensionality Reduction

a. What, Why, When and Where of dimensionality reduction
b. Data compression
c. Visualization
d. Introduction to Principal Component Analysis (PCA)

i. Understanding PCA algorithm
ii. Problem formulation

e. Reconstruction from compressed representation
f. Choosing number of principal components

Deploying Machine Learning Model in Production

a. Fundamentals of Machine Learning Model Deployment
b. Saving Machine Learning Model
c. Serialization
- i. Pickle
- ii. Joblib
- iii. JSON

d. Deserialization
i. Pickle
ii. Joblib
iii. JSON
e. Machine learning model into APIs

Top 20 Reasons to Join APTRON for Machine Learning Training Course

Machine Learning Training Course is designed according to current IT market.
Offer the best Machine Learning Training Course and Placement with well defined training modules and course sessions.
Facilitate regular, weekend and customized Machine Learning Training Course..
One of the biggest team of Certified Expert Trainers with 5 to 15 years of Real Industry Experience.
Mentors of Machine Learning Training helps in major project training, minor project training, live project preparation, interview preparation and job placement support.
Smart Labs with Real Latest Equipments.
24x7 Lab Facilities. Students are free to access the labs for unlimited number of hours as per their own preferred timings.
Smart classrooms fully equipped with projectors, live racks, Wi-Fi connectivity, Digital Pads.
Silent and Discussion Zone areas in Labs to enhance Self Study and Group Discussions.
Free of Cost Personality Development sessions including Spoken English, Group Discussions, Mock Interviews, Presentation skills.
Free of Cost Personality Development Classes.
Hostel Facilities available at Rs 5,500/- month for Machine Learning Training Course students.
Free Study Material, PDFs, Video Trainings, Sample Questions, Exam Preparation, Interview Questions, Lab Guides.
Globally Recognized Course Completion Certificate.
Extra Time Slots (E.T.S.) for Practical's(Unlimited), Absolutely Free.
The ability to retake the class at no-charge as often as desired.
One-on-One attention by instructors.
Helps students to take knowledge of complex technical concepts.
Payment options: Cheque, Cash, Credit Card, Debit card, Net Banking.