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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

CRUNCH – Practical Big Data Conference, Budapest, October 28-30, 2015

A
Analytics Vidhya Last Updated : 18 Sep, 2015
2 min read

What is CRUNCH all about?

CRUNCH is a Practical Big Data Conference in Budapest, between October 28-30, organised by two startups Prezi and Ustream (who joined forces to help to turn Budapest into a technology hub with non-profit conferences). From the 16 talks, and 4 workshops you can learn practical insights from the big players of data science, that you can apply from the next day in your company.

Crunch will also feature 4 interesting workshops for participants. These look really useful, for example Evan Miller of How Not To Run An A/B Test fame will be running one! The other workshops are:

  • Lean Analytics: The Data That Will Make or Break Your Business
    by Alistair Croll, author of Lean Analytics
  • Data analytics clusters with one-click
    by Lajos Papp, Hortonworks
  • Building Recommendation Products 101
    by Esh Kumar, Spotify
  • Introduction to Data Exploration and Predictive Modeling
    by Evan Miller, author of the Wizard Statistical analyzer

Crunch, practical big data conference, budapest

 

Who are the Key Speakers?

Doug Cutting

Chief Architect at Cloudera, Founder of Hadoop

Alistair Croll
Entrepreneur, author of Lean Analytics bestseller

Stephen Brobst
CTO, Teradata Corporation

Scott Gnau
CTO, Hortonworks

Andrea Burbank
Data Scientist, Pinterest

Elena Verna
Director of Growth and Analytics, SurveyMonkey

Esh Kumar
Data Scientist, Spotify

Check the full lineup at http://crunchconf.com/#speakers

 

Why should you attend it?

Here are the reasons to attend this event:

  1. Meet and learn from founders, CTOs, Bestselling authors, like Doug Cutting (Founder of Hadoop), Alistair Croll (Author of ‘Lean Analytics’) Stephen Brobst (CTO, Teradata), Scott Gnau (CTO, Hortonworks)
  2. Learn insights/best practices by professionals of data driven companies, like Cloudera, Pinterest, SurveyMonkey, Spotify and Skyscanner who will share practical insights and best practices about how they do eg. AB testing, build recommendation system or self service data solutions.
  3. The program includes 16 talks and 4 practical workshops as well: http://crunchconf.com/#workshops
  4. You can network with other international data professionals like you
  5. Your ticket is valid to enter also to AMUSE UX conference www.amuseconf.com in the same time and same venue as CRUNCH

 

How to Register ?

  1. Tickets are available at http://crunchconf.com/#tickets
  2. Special Discount: 15% (= 45 USD) Discount for the readers of Analytics Vidhya: Analyticsvidhya45
  3. For group discount, please contact [email protected]

 

A
Analytics Vidhya

Analytics Vidhya Content team

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