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12 data science certifications that will pay off

CIO Business Intelligence

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

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Demystifying Multimodal LLMs

Dataiku

Moreover, M-LLMs adeptly answer questions about visual content, aiding in tasks like image recognition and scene understanding. Additionally, we’ll explore their proficiency in tasks such as generating descriptive captions for images and answering questions about visual content.

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The top 15 big data and data analytics certifications

CIO Business Intelligence

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 126
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. It is also important to have a strong test and learn culture to encourage rapid experimentation. There are three strong trends in Visual Analytics.

Insurance 250
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Designing A/B tests in a collaboration network

The Unofficial Google Data Science Blog

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. Figure 4 is a visual representation of these steps.

Testing 58
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What is a DataOps Engineer?

DataKitchen

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. The data analyst’s products are charts, graphs and visualizations. Instead of focusing on a narrowly defined task with minimal testing and feedback, DataOps focuses on adding value. Create tests. What is DataOps.

Testing 157
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10 Essential Data-Driven B2B Email Marketing Strategies

Smart Data Collective

Test Different Calls-to-Action. You will need to test different CTAs, which is going to require data analytics tools. Many email marketing solutions such as Hubspot and Aweber have analytics interfaces that make it easier to test different elements in your marketing funnels, such as CTAs. Test, Test, Test.

B2B 105