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Reading list

Deploy an Image Classification Model Using Flask
Introduction to Computer Vision
Reading and Stacking Images Understanding Colorspaces Image Processing Edge Detection Blur Detection Image Operations HOG features SIFT features Camera Calibration Interesting Applications of OpenCV
Why Do We Need CNN? How Does Filters Work in CNN? Parameter Sharing and Local Connectivity in CNN Understanding CNN Architecture What is Pooling in CNN? Math Behind Convolutional Neural Networks Image Classification Tutorial using CNN Introduction to Separable Convolutions
Introduction to Transfer Learning
CNN Visualization
LeNet AlexNet VGG16 Implement VGG Dataloaders using Pytorch Implementing VGG16 using Dataloaders
Understanding Inception Modules
Understanding Residual Blocks Building Your Own Residual Block from Scratch Understand ResNet 34 Build ResNet34 from Scratch With Python! Different Versions of ResNet
Understanding the Architecture of DenseNet
Implement Crowd Counting using CSRNet
Introduction to Object Detection Bounding Box Evaluation: (Intersection over union) IOU Calculating IOU
Why do we need Region Based Convolulional Neural Network? Fast R-CNN and Faster R-CNN Building Social Distancting Tool using Faster R-CNN
Single Shot Detector SSD Custom Object Detection on the browser using TensorFlow.js YOLOv1 Other Versions of YOLO (v2 and v3) YOLOv3 YOLOv4 YOLOv5 YOLOv7 RetinaNet
DETR
Introduction to Face Detection Why is Face Alignment Important for Face Recognition? Implementing Face Detection
Introduction to Object Tracking Object Tracking Applications
Comprehensive Guide on Pose Estimation Implement Human Pose Estimation
Introduction to Image Segmentation Different Types of Image Segmentation Implementing Background removal Image Segmentation Algorithms
Unet DeepLabv3 Mask R-CNN Architecture
Build Your Own Video Classification Model
Introduction to Image Generation What are Generative models? Understanding GANs Implementing Texture Generation using GANs Better GAN Architectures
Few Shot Learning

Analytics Vidhya Presents INTERN-A-THON: Your First Step to Enter the Data Science World

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Analytics Vidhya Last Updated : 24 Nov, 2021
2 min read

Internships, uh?!! Such a stunning word for one of the most difficult tasks. In every industry, there exists a disparity when it comes to internships opportunities and getting into one. Especially in this era where competition is at its peak and opportunities for freshers close to nil. With the data industry evolving and becoming more complex, getting a data science internship is not the task for the faint-hearted.

To tackle this problem, Analytics Vidhya comes up with its sensational new event, INTERN-A-THON.

That’s right – we are bringing the best data science companies right to your feet! No longer do you need to struggle to find the perfect data science internship. With INTERN-A-THON, you can now browse through your ideal data science roles all in one place and you can earn your right to be interviewed by hiring data science organizations.

What is INTERN-A-THON?

INTERN-A-THON is India’s Largest Data Science Internship Event. Through INTERN-A-THON every enthusiast will get the opportunity to showcase their skills and get a chance to interview with top companies for internship roles in Data Science, Machine Learning & Analytics.

This is a one-of-a-kind opportunity that you simply cannot miss.

In INTERN-A-THON, you don’t require any referral or a special college degree. Here, only your data science skills matter! Are you excited? Let’s deep dive into the opportunities that stand ahead of you!

Which Companies are Participating in the INTERN-A-THON?

INTERN-A-THON offers you myriad opportunities with some of the prestigious and renowned companies.

Exciting! Right? These are just some of the firms ready to welcome you! And, Not just that, there are many positions open within each organization.

 

How does INTERN-A-THON work?

Here’s how it works:

INTER-A-THON connects data science enthusiasts like you with top companies across India who are looking to hire the best talent for data science & machine learning roles. Let’s see how you can get started on this hiring journey –

  1. Sign-up for the hackathon INTERN-A-THON and fill in the required details.
  2. Give the assessment test which will be a small MCQ round beginning at 00:00 AM on 19th November.
  3. Once you clear the MCQ, your profile will be shared after which the hiring partners will conduct their interviews and get a dream start to your career

So, what are you guys waiting for? Head over to INTERN-A-THON and get started on achieving your dream job!

 

Intern-a-thonInternathon
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Analytics Vidhya

Analytics Vidhya Content team

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