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Top 20 Python Libraries for Data Science Professionals

Analytics Vidhya

Data science has emerged as one of the most impactful fields in technology, transforming industries and driving innovation across the globe. Python, a versatile and powerful programming language renowned for its simplicity and extensive ecosystem, is at the heart of this revolution.

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20 Technologies in Data Science for Professionals

Analytics Vidhya

This surge in internet penetration underscores the pervasive influence […] The post 20 Technologies in Data Science for Professionals appeared first on Analytics Vidhya. As of January 2024, 5.35 billion individuals were connected to the Internet, constituting 66.2 percent of the world’s population.

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Autonomous AI Agents: Pioneering the Future of Data Science and Technology

Analytics Vidhya

Introduction In the dynamic landscape of technology, Autonomous AI Agents have emerged as transformative entities, reshaping how we interact with data and artificial intelligence. Understanding Autonomous […] The post Autonomous AI Agents: Pioneering the Future of Data Science and Technology appeared first on Analytics Vidhya.

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DataHour: Your Free Gateway to the World of Data Science and Technology

Analytics Vidhya

Whatever your interests, Analytics Vidhya’s DataHour sessions have got you […] The post DataHour: Your Free Gateway to the World of Data Science and Technology appeared first on Analytics Vidhya. Or perhaps you want to explore the exciting world of AI and its career opportunities?

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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills.

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Make Amazing Data Science Projects using PyScript.js

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. It is developed using Emscripten, Pyodide, WASM, and other modern web technologies. The post Make Amazing Data Science Projects using PyScript.js Introduction on PyScript.js It is a front-end framework that enables the use of Python in the browser.

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Blockchain Technology and its Types

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. The post Blockchain Technology and its Types appeared first on Analytics Vidhya.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.

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MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. Download this comprehensive guide to learn: What is MLOps? Why do AI-driven organizations need it?

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Data Science Fails: Building AI You Can Trust

Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. Organizations must feel confident that human error did not inadvertently contribute to AI bias that resulted in inaccurate or misleading findings.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.