Data Science Dojo

FEBRUARY 18, 2023

This blog outlines a collection of 12 AI tools that can assist with day-to-day activities and make tasks more efficient and streamlined.  The development of Artificial Intelligence has gone through several phases over the years. It all started in the 1950s and 1960s with rule-based systems and symbolic reasoning.

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Pickl AI

OCTOBER 25, 2023

Although we talk about AI and Big Data at the same length, there is an underlying difference between the two. In this blog, our focus will revolve around Big Data and Artificial Intelligence. Variety Data comes in various forms – structured, semi-structured, and unstructured.

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How to Learn Machine Learning

APRIL 15, 2023

Artificial Intelligence (AI) is becoming more and more prevalent in all aspects of modern society. Chatbots Chatbots are a popular use of Artificial Intelligence in the tourism industry. These computer programs use natural language processing to understand and respond to customer inquiries.

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Smart Data Collective

JULY 19, 2019

Artificial intelligence has helped with everything from the building and customization of websites and brands to the way users experience those websites themselves. Not only does AI help engineer the web building process, but it’s also become the designer behind the brand names and logos that dominate a website’s home page.

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Data Science Connect

JULY 25, 2023

Data scientists leverage predictive analytics and machine learning models to monitor key risk indicators continuously. Continuous monitoring allows businesses to adapt quickly to changing risk landscapes and make data-driven adjustments to their risk management approach.

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How to Learn Machine Learning

JUNE 21, 2024

To prevent these challenges, businesses are using artificial intelligence (AI)-driven software testing. It also explores artificial intelligence in software testing and its impact on the software development lifecycle (SDLC). Predictive analytics This uses data analysis to foresee potential defects and system failures.

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Heartbeat

OCTOBER 23, 2023

These professionals apply their expertise to analyze large and complex healthcare datasets, extract meaningful insights, build predictive models, and create innovative solutions that drive evidence-based decision-making and enhance patient outcomes. Another notable application is predictive analytics in healthcare.

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