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10 Advanced Deep Learning Architectures Data Scientists Should Know!
Deep learning architectures that every data scientist should know. In this article, learn about advanced architectures and types of computer vision tasks.
Faizan Shaikh 15 Jun, 2023
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Build your Own Object Detection Model using TensorFlow API
Object detection is a computer vision problem of locating instances of objects in an image.TensorFlow API makes this process easier with predefined models.
Alakh Sethi 17 Apr, 2025
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Hands-On Tutorial on Real-Time Lane Detection using OpenCV (Self-Driving Car Project!)
Want to build your own self-driving car? Get started with this tutorial on building your own lane detection system using OpenCV and Python.
Prateek joshi 17 Oct, 2024
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Data Munging in Python (using Pandas) – Baby steps in Python
Pandas provide the necessary tools to perform data cleaning, munging for structured data. Learn data munging in python and use of Pandas for data munging.
Kunal Jain 26 Jul, 2020 -
What is Reinforcement Learning and How Does It Work (Updated 2026)
What is Reinforcement Learning? Learn concept that allows machines to self-train based on rewards and punishments in this beginner's guide.
Himanshi Singh 26 Dec, 2025
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Semantic Segmentation: Deep Learning Behind Google Pixel
In this semantic segmentation tutorial, learn image segmentation concepts and build a semantic segmentation model using Python. Start Now!
Saurabh 14 Apr, 2025
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Essential Functionalities to Guide you While using AWS Glue and PySpark!
Learn about the functionalities of AWS Glue and PySpark. Discover how these tools are used in building AWS pipelines and processing large datasets.
Guest Blog 20 Mar, 2024
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Gradient Descent in Linear Regression
Gradient Descent is an algorithm that finds the best-fit line for linear regression for a training dataset in a smaller number of iterations.
ankita 19 Jul, 2024
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The art of structured thinking and analyzing
Structured thinking is a process of putting a framework to an unstructured problem. Having a structure not only helps an analyst understand the problem at a macro level.
Kunal Jain 27 Aug, 2021 -
Topic Modelling in Natural Language Processing
Topic modelling is recognizing the words from the topics present in the document or the corpus of data for extracting words from documents
YAMINI 12 Sep, 2023
