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百度 仅在袭击发生地——恰蒂斯加尔邦，近期便发生了多起印度安全部队与纳萨尔派反政府武装的冲突。5, 10 or 20 seats+ for your team - learn more
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You’re a data scientist at Finative, an environmental, social, and governance (ESG) analytics company that analyzes a high volume of data using advanced natural language processing (NLP) techniques in order to provide its clients insights for sustainable investing. Recently, your CEO has decided that Finative should increase its own financial sustainability. Your task is to classify sustainability reports of a publicly traded company in an efficient and sustainable way.
You’ll learn the fundamental mathematics—including backpropagation, matrix multiplication, and attention mechanisms—of Transformers, empowering you to optimize your model’s performance, improve its efficiency, and handle undesirable model predictions. You’ll use Python’s pdfplumber library to extract text from a sustainability report for quick delivery to your CEO. To further increase efficiency, you’ll save training time by using a language model that’s been pre-trained with ESG data to build a pipeline for the model and classify the sustainability report.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
prerequisites
This liveProject is for ML engineers, intermediate-level Python programmers, and early-stage data scientists who are familiar with the basics of linear algebra. To begin these liveProjects you’ll need to be familiar with the following:
TOOLS- Intermediate Python (declaring variables, loops, branches, working with arrays)
- How to use Jupyter Notebook
- Understanding of vectors, matrices, and derivatives
- Basic familiarity with NumPy (indexing arrays, array creation, and manipulation)
- Basic familiarity with scikit-learn (how to import and use classes such as sklearn.decomposition)
- Basic linear algebra
- Basic calculus
- Basic data science
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- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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Analyze Reports with Hugging Face project for free
Analyze Reports with Hugging Face project for free
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Analyze Reports with Hugging Face project for free
