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https://github.com/theainerd/MLInterview

:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
https://github.com/theainerd/MLInterview

List: MLInterview

ai-careers awesome-list data-science data-science-interview deep-learning interview machine-learning machine-learning-interview natural-language-processing reinforcement-learning sql statistics unsupervised-machine-learning

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:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Host: GitHub
URL: https://github.com/theainerd/MLInterview
Owner: theainerd
License: mit
Created: 2018-05-06T10:03:55.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2021-04-25T07:15:37.000Z (over 3 years ago)
Last Synced: 2024-10-19T22:05:40.083Z (24 days ago)
Topics: ai-careers, awesome-list, data-science, data-science-interview, deep-learning, interview, machine-learning, machine-learning-interview, natural-language-processing, reinforcement-learning, sql, statistics, unsupervised-machine-learning
Homepage:
Size: 6.96 MB
Stars: 522
Watchers: 24
Forks: 168
Open Issues: 1
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

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awesome-artificial-intelligence - Machine Learning & Data Science Interview - :octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute! (Other awesome AI lists)

README

        # Machine Learning & Data Science Interview [![](https://img.shields.io/github/license/theainerd/MLInterview.svg)](https://github.com/theainerd/MLInterview/blob/master/LICENSE)

[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/0)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/0)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/1)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/1)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/2)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/2)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/3)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/3)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/4)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/4)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/5)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/5)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/6)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/6)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/7)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/7)

> When you cease to dream, you cease to live.

  

[Data Science Interview Prep](https://in.udacity.com/course/data-science-interview-prep--ud944)

## Statistics & Probability

* [Intro-to-Descriptive-Statistics](https://towardsdatascience.com/intro-to-descriptive-statistics-252e9c464ac9)

* [How To Ace Data Science Interviews: Statistics](https://towardsdatascience.com/how-to-ace-data-science-interviews-statistics-f3d363ad47b)

## Machine Learning

  ### Data Cleaning/Exploratory Analysis

  * [Exploratory Data Analysis](https://www.youtube.com/watch?v=zHcQPKP6NpM&t=247s)

  * [How to Handle Missing Data](https://towardsdatascience.com/how-to-handle-missing-data-8646b18db0d4)

  * [Unboxing Outliers In Machine Learning](https://medium.com/datadriveninvestor/unboxing-outliers-in-machine-learning-d43fe40d88a6)  

* [Regularization] [Regularization. Clarified.](https://medium.com/data-science-group-iitr/regularization-a-smooth-trick-to-increase-robustness-of-regression-models-a5e8a91737ff)

  ### Metrics

  

  * [Choosing the Right Metric for Evaluating ML Models — Part 1](https://towardsdatascience.com/choosing-the-right-metric-for-machine-learning-models-part-1-a99d7d7414e4)

  * [Choosing the Right Metric for Evaluating Machine Learning Models — Part 2](https://towardsdatascience.com/choosing-the-right-metric-for-evaluating-machine-learning-models-part-2-86d5649a5428)

## Deep Learning

* [Convolutional Neural Networks (CNNs / ConvNets)](http://cs231n.github.io/convolutional-networks/)

## Natural Language Processing

* [How to solve 90% of NLP problems: a step-by-step guide](https://blog.insightdatascience.com/how-to-solve-90-of-nlp-problems-a-step-by-step-guide-fda605278e4e)

## Computer Vision

## Programming

* [How To Ace Data Science Interviews: R/Python](https://towardsdatascience.com/how-to-ace-data-science-interviews-r-python-3a49982000de)

## Others

* [SQL] [How To Ace Data Science Interviews: SQL](https://towardsdatascience.com/how-to-ace-data-science-interviews-sql-b71de212e433)

* [Learn SQL] [SQL Scavenger Hunt Handbook](https://www.kaggle.com/rtatman/sql-scavenger-hunt-handbook)

* [Blogs] [May Edition: Getting A Job In Data Science](https://towardsdatascience.com/may-edition-getting-a-job-in-data-science-125996b1734c)

## These tips will keep you way ahead in the race

* [Tips] [Ten Job Search Hacks Everybody Needs To Know](https://humanworkplace.com/blog/ten-job-search-hacks-everybody-needs-to-know)

* [Cover Letter Advice] [Your Cover Letter Should Be About Me, Not You](https://medium.com/@janetktaylor/your-cover-letter-should-be-about-me-not-you-3f9c0c21773f)

* [Refresh Your Resume by Google](https://in.udacity.com/course/refresh-your-resume--ud243)

## Machine Learning/ Analytics Startups in India (Careers Page)

| Name    | Product & Careers Page     | Year Founded|

| :---:  | :---: | :---: |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/download.jpeg)  **Arya.ai** | Simplifies buildout and manages deployment of Deep Learning based applications  [Arya.ai Careers](https://angel.co/arya-ai/jobs) | 2013 |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/a.png)  **Haptik.ai** | World's largest chatbot platforms, building applications for consumers, publishers, and enterprises.  [Haptik.ai Careers](https://haptik.ai/careers/) | 2013 |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/edge%20network.png)  **Edge Networks** |   NextGen Technology Solutions for Workforce Transformation  [Edge Networks Careers](https://edgenetworks.in/job-opportunities/) | 2012 |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/c.jpeg)  **Netradyne** |  Creating Solutions for real world problems using Computer Vision and Deep Learning Technologies  [Netradyne Careers](https://netradyne.com/careers/) | 2015|

| ![Niki.ai](https://d1qb2nb5cznatu.cloudfront.net/startups/i/728423-c4b43d84a2f4733555fed9de5ca1194a-medium_jpg.jpg "Niki AI")  **niki.ai** | Bot that will guide you along with recommendations to reach the right service & make transactions  [niki.ai Careers](https://angel.co/niki/jobs) | 2015 |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/d.png)  **Active.ai** | Delivers conversational banking services to help banks and financial institutions redefine their future digital strategy.  [Active.ai Careers](https://active.ai/careers/) | 2016|

| ![](https://github.com/theainerd/MLInterview/blob/master/images/e.png)  **AIndra Systems** | AIndra Systems is a technology ai startup that builds products in the artificial intelligence domain  [AINDRA Careers](http://www.aindra.in/) | 2012 |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/g.png)  **Locus.sh** |  Locus.sh uses data driven algorithms to optimize logistics for businesses.  [Locus.sh Careers](https://locus.sh/careers/) | 2015 |

| ![Mad Street Den](https://imgee.s3.amazonaws.com/imgee/0bfb02e0a98c4c20a291b400c207f372.png)  **Mad Street Den** |Computer Vision for fashion under the brand  [Mad Street Den Careers](https://angel.co/mad-street-den/jobs) | 2013 |

| ![SocialCops](https://socialcops.com/images/old/global/logo-socialcops-dark.svg)  **SocialCops** | Apps to collect data, visualization platforms  [Social Cops Careers](https://socialcops.com/careers/culture/) | 2013 |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/h.png)  **Morph.ai** | Morph uses a chatbot to create personalized conversions for marketing.  [Morph.ai Careers](https://blog.morph.ai/careers-morph-ai-67f3090efc0e/) | 2016|

| ![](https://github.com/theainerd/MLInterview/blob/master/images/i.png)  **SigTuple** |  SigTuple analyze visual medical data through artificial intelligence to aid diagnosis using intelligent screening solutions.  [SigTuple Careers](https://sigtuple.bamboohr.com/jobs/)  |2015 |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/download.png)  **Agara Labs** | Agara Labs is using deep learning to solve key problems at scale for global enterprises.  [Agara Labs Careers](https://agaralabs.com/)  | 2017|

| ![](https://github.com/theainerd/MLInterview/blob/master/images/i.jpeg)  **Sigmoid** |   Specializes in data science and data engineering solutions around the world [Sigmoid Careers](https://www.sigmoid.com/careers/current-openings/) | 2013 |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/j.jpeg)  **Tricog** | Tricog has a mission to reduce mortality caused by heart attacks.   [Tricog Health Careers](https://angel.co/tricog/jobs)| 2014|

| ![](https://github.com/theainerd/MLInterview/blob/master/images/indigene.png)  **Indegene** | Indegene is an Information Technology and Services company that assists healthcare organisations using analytics and technology.  [Indegene Careers](https://careers.indegene.com/careers/Opportunities.aspx)| -- |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/innoplexus.png)  **Innoplexus** | It aims at cutting drug development costs by mainly using AI. [Innoplexus Careers](https://www.innoplexus.com/index.php/career/)  | -- |

| ![](https://github.com/theainerd/MLInterview/blob/master/images/healthreflect.png)  **HealthReflect** |  The platform combines power of machine learning & artificial intelligence (A.I.) to offer predictive & preventive personalised medicine for every patient in India, China, Singapore, UAE & other middle eastern countries.  [HealthReflect Careers](https://www.healthreflect.com/career) | -- |

### Refrences

* [Towards Data Science](https://towardsdatascience.com/)

* [Data Science Group, IITR](https://medium.com/data-science-group-iitr)

* [data-science-question-answer](https://github.com/ShuaiW/data-science-question-answer#cnn)

* [CS 229 ― Machine Learning CheatSheet](https://stanford.edu/~shervine/teaching/cs-229.html)

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