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Getting Started with AI

Towards AI

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

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70+ Best and Unique Python Machine Learning Projects with source code [2023]

Mlearning.ai

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This list will consist of Machine learning projects, Deep Learning Projects, Computer Vision Projects , and all other types of interesting projects with source codes also provided.

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Top 8 End to End Machine Learning Projects with Source Codes

Mlearning.ai

This is one of the best Machine learning projects in Python. Doctor-Patient Appointment System in Python using Flask Hey guys, in this blog we will see a Doctor-Patient Appointment System for Hospitals built in Python using Flask. We have the IPL data from 2008 to 2017. Working Video of our App [link] 7.

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Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio

AWS Machine Learning Blog

This dataset contains 10 years (1999–2008) of clinical care data at 130 US hospitals and integrated delivery networks. For instance, instead of a vague query about AWS services, try: “Can you provide sample code using the SageMaker Python SDK library to train an XGBoost model in SageMaker?” Let’s start with data exploration.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning.

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[Latest] 20+ Top Machine Learning Projects for final year

Mlearning.ai

This is one of the best Machine Learning Projects for final year in Python. In this article, we will discuss the development of a Leaf Disease Detection Flask App that uses a deep learning model to automatically detect the presence of leaf diseases. We have the IPL data from 2008 to 2017.

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008.

ML 95