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Data Science Dojo vs Thinkful: Which bootcamp is right for you?

Data Science Dojo

Data Science Dojo vs Thinkful Data Science Dojo As an ideal choice for beginners with no prerequisites, Data Science Dojo’s Bootcamp is a great choice. It is a one-week bootcamp that covers the fundamentals of data science.

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Enterprise fraud management, AI and data visualization

Cambridge Intelligence

Fraud prevention The third stage of the visualization-AI intelligence cycle is prevention – where data science teams use new information to train their models. This might include larger-scale data mining to gain insights on wider trends from multiple investigations. FREE: Start your trial today Visualize your data!

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7 Leading Universities With Data Analytics Degrees Coming to ODSC East

ODSC - Open Data Science

Western Governor University Western Governor University’s online Master’s in Data Analytics Degree Program helps prepare its students for a career in Machine Learning, Database Applications, Data Science and Analytics, Data Management, and Data Mining.

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Research shows extensive use of AI contains data breaches faster and saves significant costs

IBM Journey to AI blog

Advanced analytics help detect known and unknown threats to drive consistent and faster investigations every time and empower your security analysts to make data-driven decisions.

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Standard LLMs are not enough. How to make them work for your business

Snorkel AI

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. The generalized nature of their training data and the semi-random nature of their outputs create unignorable shortfalls in accuracy. Create a dataset through data mining.

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Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

  Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads.

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Standard LLMs are not enough. How to make them work for your business

Snorkel AI

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. The generalized nature of their training data and the semi-random nature of their outputs create unignorable shortfalls in accuracy. Create a dataset through data mining.