WHY REGISTER

WHY REGISTER

NO CODING EXPERIENCE REQUIRED

NO CODING EXPERIENCE REQUIRED

We’ll teach you machine learning from scratch and not leave you until you are Industry ready.
INDUSTRY SIZE & DEMAND

INDUSTRY SIZE & DEMAND

Machine Learning Market will be worth 8.81 Billion USD by 2022; growing at a CAGR of 44%.
JOB OPPORTUNITIES

JOB OPPORTUNITIES

Machine Learning Engineer is one of the most in-demand jobs in the industry.
GAIN COMPETITIVE EDGE

GAIN COMPETITIVE EDGE

Get a quick promotion within your company with this quick and easy to understand course.
Crash Course Syllabus

Crash Course Syllabus

Basics of Machine Learning

What is machine learning ?

  • Understanding various aspects of data –type, variables, category
  • Common machine learning terms
  • Types of machine learning models – classification, regression, clustering etc

Getting started with Azure ML

  • What is AzureML and overall architecture
  • Creating a free AzureML account
  • Azure ML experiment workflow
  • Azure ML cheat sheet for model selection

Download Detailed Syllabus

Projects

Projects

Loan Approval Prediction

Loan Approval Prediction

  • To know whether an individual will get a loan approved or not

Wine Quality Prediction

Wine Quality Prediction

  • To know the quality of wine based on different parameters

Predicting market segments using call center data

Predicting market segments using call center data

  • To differentiate market segment in un-substantiated data

Your Journey

ENROLL IN COURSE

BRUSH UP ON PRE-REQUISITES

CLASSROOM OPENS

SUBMIT PROJECTS

COMPLETE COURSE

Get industry ready

GET INDUSTRY READY

Machine Learning - Basic

Machine Learning Engineer - Basics

DURATION

6 Weeks – 2 hour class – Sat & Sun

CLASSROOM OPENS

Feb 1, 2019

TERM FEE

$100

Machine Learning - Advanced

Machine Learning Engineer - Advanced

DURATION

6 Weeks – 2 hour class – Sat & Sun

CLASSROOM OPENS

Mar 1, 2019

TERM FEE

$100

To enroll, write to [email protected] if you have completed Machine Learning Engineer – Basics

INSTRUCTORS

INSTRUCTORS

Learn from top Industry Experts
Pradit Kulshreshtha

Pradit Kulshreshtha

DIRECTOR, LIVEHOOAH TECHNOLOGIES PVT. LTD.
M.ENGG, PENNSYLVANIA STATE UNIVERSITY

Pradit is one of the pioneers in using machine learning in the earthquake resistant design of multi-story buildings. He is also the recipient of the prestigious Ardeth & Norman Frisbey Award for his outstanding contributions furthering International Understanding.

Research & Work :

  • Using machine learning and Internet of things technology (IOT) to predict the future maintenance of essential structures (eg: Bridges, Dams, Tunnels etc).
  • Empowering mobile apps with machine learning algorithms for prediction-based decision making.

Yikang Liu

Yikang Liu

PHD, PENNSYLVANIA STATE UNIVERSITY

Yikang Liu is a PhD student with research focus on computational neuroscience, medical image analysis, machine learning, and
data analysis. He’s been working on mathematical modelling of medical data, especially medical images for more than six years.

Research :

  • Modeling whole-brain spatiotemporal transition activities with fMRI. An automatic brain segmentation algorithm with
    unsupervised machine learning.
  • Modeling nicotine addiction in rodents Cognitive neuroscience.

WIK HUNG

Wik Hung

PHD, PENNSYLVANIA STATE UNIVERSITY

Wik is a PHD graduate in educational psychology from Pennsylvania State University in 2017

Research :

  • His research focused on using machine learning models and experimental design to identify pedagogical methods that can enhance learning. He has been actively involved in various data science communities to improve the quality of learning.

Career

CAREER PROSPECTS

Land your dream Machine Learning career
Amazing Job Prospects

Amazing Job Prospects

The World will face a demand-supply gap of 2.7 million ML & Data Analytics professionals by 2020. The demand for trained ML professionals has never been higher!

Turbocharge your salary

Turbocharge your salary

Highest salary of Rs. 40 lakhs offered to a Livehooah Machine Learning Engineering graduate

Rs. 5,000 Livehooah credits to continue learning

Earn huge credits for continued learning

A small incentive for you to come back and continue your learning with another program

FREQUENTLY ASKED QUESTIONS Get Answers

FREQUENTLY ASKED QUESTIONS

Get Answers

Machine learning is becoming a fundamental skill as software development is entering a new era. This program prepares you to join this exciting field by providing hands-on experience building models, a thriving community of students, and world-class support from expert mentors and code reviewers.

This program will prepare you for a variety of roles, including Data Scientist and Machine Learning Engineer jobs.

There will be no refunds for cancellations made for the course, although substitutions may be permitted. Refunds will not be provided for registrants who do not attend the course. Notice of cancellation must be made via e-mail to [email protected].

Note that circumstances beyond the control of the course organizers may necessitate substitutions, alterations or cancellations of the speakers and/or topics. Therefore, Livehooah Technologies Pvt. Ltd. reserves the right to alter or modify the advertised speakers and/or topics if necessary. Any substitutions or alterations will be updated on the web site as soon as possible. As a customer you are responsible for understanding this refund policy upon purchasing any product or services at our web site.

Please email us you query at [email protected]. We will attempt to find the best convenient solution for your query. Our support team to get back to you in 24 hours.

Registration is not complete until full payment has been received. Payments not received ten business days before the course will result in no admittance of the person(s) in the course. Payment should be made online by Visa, MasterCard or American Express with the submission of a completed registration form.

Got a question We’d love to hear from you. Send us a message and we’ll respond as soon as possible.

Got a question

We’d love to hear from you. Send us a message and we’ll respond as soon as possible.

Machine Learning