Breaking into Data Science: Essential Skills and How to Learn Them
KDnuggets
JUNE 18, 2024
Going beyond technical skills; learn how to make a data science profile that stands out and helps you land your dream role.
KDnuggets
JUNE 18, 2024
Going beyond technical skills; learn how to make a data science profile that stands out and helps you land your dream role.
Snowflake
JUNE 18, 2024
Despite the seemingly nonstop conversation surrounding AI, the data suggests that bringing AI into enterprises is still easier said than done. There’s so much potential and plenty of value to be captured — if you have the right models and tools. Implementing advanced AI today requires a solid data foundation and often a set of solutions, each demanding its own tools and complex infrastructure.
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KDnuggets
JUNE 18, 2024
Get your own local RAG system up and running in an embarrassingly few lines of code thanks to these 3 Llamas.
Cloudera
JUNE 18, 2024
The world of Generative AI (GenAI) is rapidly evolving, with a wide array of models available for businesses to leverage. These models can be broadly categorized into two types: closed-source (proprietary) and open-source models. Closed-source models, such as OpenAI’s GPT-4o, Anthropic’s Claude 3, or Google’s Gemini 1.5 Pro, are developed and maintained by private and public companies.
Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL
Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.
RandomTrees
JUNE 18, 2024
Customer services are continuously changing significantly. Now, it is not about waiting for hours plus and getting irritating phone menus. For instance, artificial intelligence (AI) chatbots powered by the latest machine learning and natural language processing (NLP) applications have redefined interaction between companies and their customers. The old days, where virtual assistants used to handle simple queries, are gone.
phData: Data Engineering
JUNE 18, 2024
Machine learning (ML) is only possible because of all the data we collect. However, with data coming from so many different sources, it doesn’t always come in a format that’s easy for ML models to understand. Before you can take advantage of everything ML offers, much prep work is involved. In this blog, we’ll explain why you should prepare your data before use in machine learning , how to clean and preprocess the data, and a few tips and tricks about data preparation.
Snowflake
JUNE 18, 2024
Welcome to Snowflake’s Startup Spotlight, where we ask startups about the problems they’re solving, the apps they’re building and the lessons they’ve learned during their startup journey. In this edition, we’ll learn why Terence Bennett, CEO of DreamFactory , and his team are championing a new way to think about API integrations. What was the genesis of DreamFactory?
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