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. In the 1970s and 1980s, AI research shifted to knowledge-based systems and expert systems.

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Pickl AI

OCTOBER 25, 2023

How Big Data and AI Work Together: Synergies & Benefits: The growing landscape of technology has transformed the way we live our lives. of companies say they’re investing in Big Data and AI. In this blog, our focus will revolve around Big Data and Artificial Intelligence.

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Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

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Pickl AI

JUNE 29, 2023

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data.

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Pickl AI

OCTOBER 18, 2023

Among the different areas witnessing a mirage effect of artificial intelligence, sports is also a niche that can undergo a significant transformation with the implementation of analytics technology. Recently, a terminology AI-referee caught my attention. I was wondering how AI and analytics can help in modifying sports.

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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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Pickl AI

JULY 20, 2023

It involves deeper analysis and investigation to identify the root causes of problems or successes. Root cause analysis is a typical diagnostic analytics task. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes.

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