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Analysis of BW in piglets

#artificialintelligence

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. In this Mixed Model example, I will use a somewhat more advanced dataset containing the bodyweight growth of piglets across different levels.


Designing a Promotional Strategy for Alcoholic Drinks in Russia

#artificialintelligence

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI...


Digital Learning During Covid19: A Complete Analysis

#artificialintelligence

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. There is an imbalance in the education system during the Covid19 pandemic and most of the students don't even have access to educational tools and online learning platforms.


Time Series Data Visualization In Python

#artificialintelligence

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. Time series data is one of the most common data types in the industry and you will probably be working with it in your career. Therefore understanding how to work with it and how to apply analytical and forecasting techniques are critical for every aspiring data scientist. In this series of articles, I will go through the basic techniques to work with time-series data, starting with data manipulation, analysis, and visualization to understand your data and prepare it for and then using statistical, machine learning, and deep learning techniques for forecasting and classification. It will be more of a practical guide in which I will be applying each discussed and explained concept to real data. All the codes and datasets used in this article can be found in this repository.


Underwater Object Segmentation Using MonkAI

#artificialintelligence

This project focuses on segmenting different objects such as animals, plants, plastic, and ROV(Remotely Operated Vehicle) using a low code wrapper Monk [2]toolkit via Unet[1]. It is essential to understand the sea garbage collection. For employing an automatic river or sea trash cleaner system should have a proper understanding of different objects present in the water. This project helps to develop such a system on small scale. Through this blog, I will share some insights about MonkAI, and how it can be used to simplify the process of object segmentation and build other computer vision applications.