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Machine Learning Internship

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Machine Learning

Quosphere

Navi Mumbai

Start Date

Starts immediatelyImmediately

Duration

2 Months

Stipend

₹ 5,000 /month

APPLY BY

19 Jun' 19

280 applicants

About the internship

Selected intern's day-to-day responsibilities include:

1. Build a recommendation engine using 3D NumPy arrays to map every users' preference
2. Convert a dashboard with 2D images to the 3D matrix and provide appropriate relationship association
3. Build a weightage mechanism to identify preferences of the users and give user specific recommendation
4. Build a module to change the recommendations provided so that the recommendations do not remain constant
5. Build an autofill algorithm that provides the best possible match of a word from the letters entered
6. Build a diagnostic module to identify a reason for a change in a measure

Skill(s) required

Deep Learning JSON Machine Learning Natural Language Processing (NLP) Python REST API

Earn certifications in these skills

Learn Python

Learn Voice App Development

Learn Machine Learning

Learn Deep Learning

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 15th May'19 and 19th Jun'19

3. are available for duration of 2 months

4. have relevant skills and interests

Perks

Certificate 5 days a week

Number of openings

About Quosphere

Website

Quosphere is a technology leader and we seek innovation in all that we do with our prime focus on quality and enhancing user experience. We are providers of innovative solutions in the areas of business intelligence, big data, data visualization, analytical frameworks, and cloud technology. Our services are focused on helping organizations translate the effectiveness of big data & machine learning technologies into great business impact.

Our uniqueness lies in unmatched practices and cost-effective delivery models. Quosphere has supported businesses across the world in increasing productivity through customized services and world-class business-cycle solutions. Setting standards in data analytics across spectrums with advanced technology and a dedicated workforce.

Activity on Internshala

Hiring since August 2018

19 opportunities posted

5 candidates hired