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
Last synced: 5 months ago
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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 (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2021-04-25T07:15:37.000Z (almost 4 years ago)
- Last Synced: 2024-10-19T22:05:40.083Z (6 months 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://github.com/theainerd/MLInterview/blob/master/LICENSE)
[](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/0)[](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/1)[](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/2)[](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/3)[](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/4)[](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/5)[](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/6)[](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|
| :---: | :---: | :---: |
|  **Arya.ai** | Simplifies buildout and manages deployment of Deep Learning based applications [Arya.ai Careers](https://angel.co/arya-ai/jobs) | 2013 |
|  **Haptik.ai** | World's largest chatbot platforms, building applications for consumers, publishers, and enterprises. [Haptik.ai Careers](https://haptik.ai/careers/) | 2013 |
|  **Edge Networks** | NextGen Technology Solutions for Workforce Transformation [Edge Networks Careers](https://edgenetworks.in/job-opportunities/) | 2012 |
|  **Netradyne** | Creating Solutions for real world problems using Computer Vision and Deep Learning Technologies [Netradyne Careers](https://netradyne.com/careers/) | 2015|
|  **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 |
|  **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|
|  **AIndra Systems** | AIndra Systems is a technology ai startup that builds products in the artificial intelligence domain [AINDRA Careers](http://www.aindra.in/) | 2012 |
|  **Locus.sh** | Locus.sh uses data driven algorithms to optimize logistics for businesses. [Locus.sh Careers](https://locus.sh/careers/) | 2015 |
|  **Mad Street Den** |Computer Vision for fashion under the brand [Mad Street Den Careers](https://angel.co/mad-street-den/jobs) | 2013 |
|  **SocialCops** | Apps to collect data, visualization platforms [Social Cops Careers](https://socialcops.com/careers/culture/) | 2013 |
|  **Morph.ai** | Morph uses a chatbot to create personalized conversions for marketing. [Morph.ai Careers](https://blog.morph.ai/careers-morph-ai-67f3090efc0e/) | 2016|
|  **SigTuple** | SigTuple analyze visual medical data through artificial intelligence to aid diagnosis using intelligent screening solutions. [SigTuple Careers](https://sigtuple.bamboohr.com/jobs/) |2015 |
|  **Agara Labs** | Agara Labs is using deep learning to solve key problems at scale for global enterprises. [Agara Labs Careers](https://agaralabs.com/) | 2017|
|  **Sigmoid** | Specializes in data science and data engineering solutions around the world [Sigmoid Careers](https://www.sigmoid.com/careers/current-openings/) | 2013 |
|  **Tricog** | Tricog has a mission to reduce mortality caused by heart attacks. [Tricog Health Careers](https://angel.co/tricog/jobs)| 2014|
|  **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)| -- |
|  **Innoplexus** | It aims at cutting drug development costs by mainly using AI. [Innoplexus Careers](https://www.innoplexus.com/index.php/career/) | -- |
|  **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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