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Seeing the Forest for the Trees by James Strong

Scott Logic

I recently embarked on a journey into the world of machine learning through following the fast.ai I have learnt a great deal about the inner workings of neural networks and how deep learning can produce seemingly magical results. Most often, the goal is to predict a target feature of the dataset based on the rest.

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History of Big Data

Knowledge Hut

Today, systems that can manage large datasets have eliminated many historical challenges. Insights can be generated and extracted from large datasets only when the original data is properly stored, transformed, analyzed, and presented in a comprehensible format. In 2001, Doug Laney defined big data and highlighted its features.

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

One way to help the investors is to give them a fair idea of the risks involved by predicting the returns using machine learning. You must try to use the advanced technology of machine learning and estimate the short-term returns for 14 popular cryptocurrencies.

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100+ Machine Learning Datasets Curated For You

ProjectPro

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Table of Contents What is a dataset in machine learning?

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Facial Emotion Recognition Project using CNN with Source Code

ProjectPro

In 2001, researchers from Microsoft gave us face detection technology which is still used in many forms. With modern deep learning techniques, we have advanced to detect difficult things like smiles, eyes, and emotions. Before we jump on to the code, allow us to give you a fair idea of the dataset.

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Using rideshare data to evaluate racial bias in the issuance of speeding citations

Lyft Engineering

Combining these datasets, the team analyzed traffic stops that occurred in Florida from August 2017 to August 2020 affecting drivers while they were online on Lyft’s platform. These estimates are computed over our entire dataset, unconditional on the driver being cited. 5] Logistic Regression in Rare Events Data (King and Zeng 2001).

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Computer Vision: Algorithms and Applications to Explore in 2023

ProjectPro

Computer Vision focuses on replicating the complex working of the human visual system and enabling a machine or computer to identify and process different objects in videos and images, just like a human being. This algorithm is slow to train for a given dataset but can detect faces with impressive speed and accuracy in real-time.