Interview Prep
Career
GenAI
Prompt Engg
ChatGPT
LLM
Langchain
RAG
AI Agents
Machine Learning
Deep Learning
GenAI Tools
LLMOps
Python
NLP
SQL
AIML Projects

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

The DataHour: Building AI Applications in Minutes

D
Dhruv Last Updated : 20 Jul, 2022
2 min read

Introduction

Rajiv Shah is conducting an interactive DataHour with us. He works as a machine learning engineer for Hugging Face, where his main goal is to help teams use AI to succeed. He previously oversaw DataRobot’s efforts to allow hundreds of data scientists. He is a well-known AI speaker who has also written academic articles and been granted patents in various fields, including deep learning, interpretability, and sports analytics. He graduated from the University of Illinois at Urbana-Champaign with a PhD and a J.D. He will explain about Building AI applications in minutes. So, Register Now! What are you waiting for?

The DataHour

BOOK YOUR SEAT NOW! 🛋️

About DataHour

Anyone can rapidly create cutting-edge machine learning models using the open-source transformers programme. These programmes can use text, audio, photos, and other media. Construction of some of these in real-time is now possible.

Evaluation of your model comes next after having the pipeline. Also, a methodology for assessing your models is followed so you can have confidence in them and spot any biases they may have.

In this DataHour, Join Rajiv Shah in explaining the building of AI applications in minutes and discussing a framework for evaluating models.

About the Speaker

Rajiv Shah previously oversaw DataRobot’s efforts to allow hundreds of data scientists. Additionally, he contributed to data science teams at State Farm, Snorkel AI, and Caterpillar.

Rajiv is a well-known AI speaker who has also written academic articles and been granted patents in various fields, including deep learning, interpretability, and sports analytics. He graduated from the University of Illinois at Urbana-Champaign with a PhD and a J.D.

Prerequisites

The desire to learn Data Science.

Who is this DataHour for?

  • Students and Freshers with interest in Data Science and Deep Learning.
  • Data science professionals and enthusiasts wanted to accelerate their career growth.

Any Questions

Drop us an email at [email protected], or you can chat with the speaker directly during the session.

Contact

To take advantage of this fantastic opportunity. Register for this DataHour here.

If you missed any of the past episodes of “The DataHour,” you may watch the recordings on our YouTube channel. You can read a summary of previous DataHour sessions on our blog by clicking here.

Connect

If you’re having trouble enrolling or would like to conduct a session with us. Contact us at [email protected].

BOOK YOUR SEAT NOW! 🛋️

data sciencehugging facemachine learningThe DataHourwebinar series
D
Dhruv

Free Courses

Generative AI 4.7

Generative AI - A Way of Life

Explore Generative AI for beginners: create text and images, use top AI tools, learn practical skills, and ethics.
Large Language Models 4.5

Getting Started with Large Language Models

Master Large Language Models (LLMs) with this course, offering clear guidance in NLP and model training made simple.
Prompt Engineering 4.6

Building LLM Applications using Prompt Engineering

This free course guides you on building LLM apps, mastering prompt engineering, and developing chatbots with enterprise data.
LlamaIndex 4.8

Improving Real World RAG Systems: Key Challenges & Practical Solutions

Explore practical solutions, advanced retrieval strategies, and agentic RAG systems to improve context, relevance, and accuracy in AI-driven applications.
RAG systems using LlamaIndex 4.7

Microsoft Excel: Formulas & Functions

Master MS Excel for data analysis with key formulas, functions, and LookUp tools in this comprehensive course.

Recommended Articles

Responses From Readers

Clear

Write for us

Write, captivate, and earn accolades and rewards for your work
  • Reach a Global Audience
  • Get Expert Feedback
  • Build Your Brand & Audience
  • Cash In on Your Knowledge
  • Join a Thriving Community
  • Level Up Your Data Science Game
imag
Congratulations, You Did It!
Well Done on Completing Your Learning Journey. Stay curious and keep exploring!
Nikhil Mishra’s Journey to Becoming a Kaggle Grandmaster
Nikhil Mishra’s Journey to Becoming a Kaggle Grandmaster
The DataHour: September Timeline
The DataHour: September Timeline

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details