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Data Science Subjects and Syllabus [Latest Topics Included]

Analytics Vidhya

Imagine diving into the details of data analysis, predictive modeling, and ML. The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology. Envision yourself unraveling the insights and patterns for making informed decisions that shape the future.

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The DataHour: Your Upcoming Learning Timeline

Analytics Vidhya

Dear Readers, Data Science is a vast subject, and the learning you can get is immense. And we at Analytics Vidhya always try to bring new learning topics and build up your skills. The post The DataHour: Your Upcoming Learning Timeline appeared first on Analytics Vidhya.

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Upcoming DataHour Sessions You Can’t Afford to Miss!

Analytics Vidhya

Introduction Join upcoming DataHour sessions for valuable insights and knowledge on data-tech careers. Topics include Prompt Engineering, LlamaIndex, QA systems, ChatGPT in Python, and Excel for Statistics. This blog post introduces the series, covering various subjects in data science and its applications across industries.

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A Comprehensive Comparison Among Data Science Bootcamps vs Degree vs Online Courses

Analytics Vidhya

Helping you acquire skills or helping you learn specific subjects. Now, these different options of educating yourself are different in terms of the duration of the programs or how intensely they cover topics. Data Science Bootcamps are a great option for acquiring a […].

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. It might suggest a restaurant based on preferences and current popularity.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?