Flipboard

MARCH 17, 2025

Home Table of Contents Getting Started with Python and FastAPI: A Complete Beginner’s Guide Introduction to FastAPI Python What Is FastAPI? Your First Python FastAPI Endpoint Writing a Simple “Hello, World!” Jump Right To The Downloads Section Introduction to FastAPI Python What Is FastAPI?

Python 133

Python Deep Learning Deep Learning Machine Learning 133

KDnuggets

JULY 11, 2025

Essential Prerequisites Building generative AI applications requires comfort with Python programming and basic machine learning concepts, but you dont need deep expertise in neural network architecture or advanced mathematics. Start with small contributions—documentation improvements, bug fixes, or example applications.

AI 328

AI AI Machine Learning Machine Learning 328

KDnuggets

JUNE 17, 2025

With Modal, you can configure your Python app, including system requirements like GPUs, Docker images, and Python dependencies, and then deploy it to the cloud with a single command. In this tutorial, we will learn how to set up Modal, create a vLLM server, and deploy it securely to the cloud. Create the a vllm_inference.py

Natural Language Processing 172

Natural Language Processing Machine Learning Machine Learning Data Science 172

Data Science Dojo

OCTOBER 31, 2024

Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods. Stanford AI Lab recommends proficiency in deep learning, especially if working in experimental or cutting-edge areas.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

AWS Machine Learning Blog

DECEMBER 12, 2024

Amazon SageMaker has redesigned its Python SDK to provide a unified object-oriented interface that makes it straightforward to interact with SageMaker services. Shweta Singh is a Senior Product Manager in the Amazon SageMaker Machine Learning (ML) platform team at AWS, leading SageMaker Python SDK.

ML 100

ML ML Python AWS 100

PyImageSearch

JULY 7, 2025

This method involves setting up everything as specified in the official repo , running the Gradio app , and then demonstrating how to run YOLOv12 directly via Python and CLI without the Gradio UI. Create a new conda environment with Python 3.11: conda create -n yolov12 python=3.11 git checkout v1.0

Deep Learning 116

Deep Learning Deep Learning Python Computer Science 116

PyImageSearch

JANUARY 13, 2025

Using Python # Load a model model = YOLO("yolo11n.pt") # Predict with the model results = model("[link] First, we load the YOLO11 object detection model. We must note 2 key points: The Python approach gives us more flexibility to integrate the model into larger projects and customize the outputs programmatically. Here, yolo11n.pt

Python 108

Python Deep Learning Deep Learning Computer Science 108

Flipboard

JULY 7, 2025

However, if you are new to these concepts consider learning them from the following resources: Programming: You need to learn the basics of programming in Python, the most popular programming language for machine learning. I have given a few resources that might help you learn NLP: Coursera: DeepLearning.AI

Natural Language Processing 149

Natural Language Processing Machine Learning Machine Learning Data Science 149

AWS Machine Learning Blog

OCTOBER 24, 2024

Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline. Here’s a high-level breakdown of how the Python script is executed: Load the YOLOv9 model – This model is used for detecting objects in each frame. pip install opencv-python ultralytics !pip

AWS 107

AWS Python Algorithm ML 107

AWS Machine Learning Blog

DECEMBER 16, 2024

70B through SageMaker JumpStart offers two convenient approaches: using the intuitive SageMaker JumpStart UI or implementing programmatically through the SageMaker Python SDK. Lokeshwaran Ravi is a Senior Deep Learning Compiler Engineer at AWS, specializing in ML optimization, model acceleration, and AI security. Deploy Llama 3.3

AWS 101

AWS ML ML Python 101

Flipboard

JULY 8, 2025

But when it comes to sharing your work or letting others interact with your models, the gap between a Python script and a usable web app can feel enormous. Gradio is an open source Python library that lets you turn your Python scripts into interactive web applications without requiring frontend expertise.

Machine Learning 99

Machine Learning Machine Learning Data Science Python 99

Towards AI

JULY 9, 2025

Fast forward a few years, and as deep learning explodes in popularity, NVIDIA creates cuDNN, a specialized library built on top of CUDA that’s specifically designed to make neural networks run faster than a caffeinated cheetah. It’s the Swiss Army knife of GPU computing cuDNN: Specialized for deep learning operations only.

Deep Learning 56

Deep Learning Deep Learning AI AI 56

PyImageSearch

DECEMBER 30, 2024

Spaces supports two primary SDKs (software development kits), Gradio and Streamlit , for building interactive ML demo apps in Python. To set up the code, we need two files: requirements.txt: Here, well specify the Python dependencies our app requires. app.py: This file will contain the main app logic. Thats not the case.

Deep Learning 107

Deep Learning Deep Learning ML ML 107

Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2.

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

PyImageSearch

JANUARY 6, 2025

Python or R) to find the critical value from the -distribution for the chosen and degrees of freedom ( ). Performing the Grubbs Test In this section, we will see how to perform the Grubbs test in Python for sample datasets with small sample sizes. Note: We need to use statistical tables ( Table 1 ) or software (e.g., Thakur, eds.,

Python 124

Python Deep Learning Deep Learning Clustering 124

AWS Machine Learning Blog

DECEMBER 24, 2024

Trainium chips are purpose-built for deep learning training of 100 billion and larger parameter models. Model training on Trainium is supported by the AWS Neuron SDK, which provides compiler, runtime, and profiling tools that unlock high-performance and cost-effective deep learning acceleration. using the following code.

AWS 106

AWS Clustering Deep Learning Deep Learning 106

Towards AI

JULY 4, 2025

In this tutorial, we will go through a step-by-step guide on how to label cells using napari, an interactive multi-dimensional image viewer for Python, ideal for microscopy data. We will work entirely within a Jupyter Notebook environment, combining Python scripting with visual exploration and annotation using napari.

Python 67

Python Deep Learning Deep Learning Data Scientist 67

Flipboard

JUNE 13, 2025

Tina Huang breaks down the core competencies that every aspiring AI professional needs to succeed, from mastering foundational programming languages like Python to understanding the ethical implications of AI-driven systems. Key languages include: Python: Known for its simplicity and versatility, Python is the most widely used language in AI.

Artificial Intelligence 67

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 67

AWS Machine Learning Blog

DECEMBER 2, 2024

These improvements are available across a wide range of SageMaker’s Deep Learning Containers (DLCs), including Large Model Inference (LMI, powered by vLLM and multiple other frameworks), Hugging Face Text Generation Inference (TGI), PyTorch (Powered by TorchServe), and NVIDIA Triton. gpu-py311-cu124-ubuntu22.04-v2.0",

AI 107

AI AI AWS Machine Learning 107

Flipboard

JUNE 16, 2025

In this post, I’ll show you exactly how I did it with detailed explanations and Python code snippets, so you can replicate this approach for your next machine learning project or competition. 👉🏻 I run the AI Weekender , which features fun weekend AI projects and quick, practical tips to help you build with AI.

Machine Learning 101

Machine Learning Machine Learning Data Science Artificial Intelligence 101

How to Learn Machine Learning

JULY 6, 2025

Deep Reinforcement Learning Deep reinforcement learning is a combination of neural networks and RL principles to deal with high-dimensional state space and action space. DQN is one of the most well-known algorithms in this domain and uses deep-learning-based Q-value function approximation.

Machine Learning 52

Machine Learning Machine Learning Algorithm Clustering 52

DrivenData Labs

MAY 12, 2025

competition, winning solutions used deep learning approaches from facial recognition tasks (particularly ArcFace and EfficientNet) to help the Bureau of Ocean and Energy Management and NOAA Fisheries monitor endangered populations of beluga whales by matching overhead photos with known individuals. For example: In the Where's Whale-do?

Algorithm 130

Algorithm Machine Learning Machine Learning Deep Learning 130

Flipboard

DECEMBER 2, 2024

We explore two approaches: using the SageMaker Python SDK for programmatic implementation, and using the Amazon SageMaker Studio UI for a more visual, interactive experience. In this post, we walked through the step-by-step process of implementing this feature through both the SageMaker Python SDK and SageMaker Studio UI.

AWS 129

AWS ML ML Machine Learning 129

PyImageSearch

JULY 14, 2025

YOLOv12 ) and simple camera setups, we can now build an accurate and scalable solution using just Python, OpenCV, and deep learning. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? But with powerful models (e.g., That’s not the case.

Deep Learning 96

Deep Learning Deep Learning Python Computer Science 96

AWS Machine Learning Blog

NOVEMBER 19, 2024

Reserve your seat now AIM406: Attain ML excellence with proficiency in Amazon SageMaker Python SDK December Wednesday 4 |4:30 PM – 5:30 PM In this comprehensive code talk, delve into the robust capabilities of the Amazon SageMaker Python SDK. You must bring your laptop to participate.

AWS 106

AWS ML ML AI 106

AssemblyAI

DECEMBER 4, 2024

Let's see how to use Multichannel transcription with the AssemblyAI Python SDK: import assemblyai as aai audio_file = " /multichannel-example.mp3" config = aai.TranscriptionConfig(multichannel=True) transcript = aai.Transcriber().transcribe(audio_file,

Clustering 59

Clustering Deep Learning Deep Learning Python 59

Pickl AI

JULY 4, 2025

Some models, especially in deep learning, design to explicitly model aleatoric uncertainty by predicting both a mean and a variance for outputs. How: Can be applied to any underlying model, including deep learning. Uncertainty Toolbox: Standardized metrics and visualization for UQ in Python.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

PyImageSearch

JULY 21, 2025

This is where deep learning steps in — specifically, object detection models that can analyze images or videos of roads and automatically detect potholes. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

Deep Learning 101

Deep Learning Deep Learning Python Computer Science 101

Pickl AI

JULY 22, 2025

Harnessing the power of deep learning , these advanced AI systems can read, interpret, and generate human-like language at remarkable scale. Large Language Models (LLMs) process and understand human language using advanced deep learning techniques—primarily transformers. How Do LLMs Work?

Data Science 52

Data Science Data Analysis Data Analysis Deep Learning 52

Pickl AI

JUNE 5, 2025

While computationally intensive, it excels in interpretability and diverse applications, with practical implementations available in Python for exploratory data analysis. Python libraries like SciPy enable easy implementation and visualization of hierarchical clustering. What is Hierarchical Clustering?

Clustering 52

Clustering Machine Learning Machine Learning Exploratory Data Analysis 52

Flipboard

JULY 19, 2025

References Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations , Raissi et al. 2021) Neural Operator: Learning Maps Between Function Spaces , Kovachki et al. 2019) Lagrangian Neural Networks , Cranmer et al. We build it.

Machine Learning 96

Machine Learning Machine Learning AI AI 96

How to Learn Machine Learning

DECEMBER 24, 2024

For example, Amazon SageMaker offers a free tier that includes: 250 hours per month of t2.medium medium notebook instances for development 50 hours per month of m4.xlarge xlarge instances for training 125 hours per month of m4.xlarge

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

Pickl AI

JUNE 5, 2025

Below are the essential core skills that aspiring and practicing data scientists need to excel in India’s competitive job market: Programming Languages: Proficiency in Python and R is essential. Data scientists in India use a broad toolkit tailored to local industry needs: Programming: Python, R, SQL.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

ODSC - Open Data Science

JULY 10, 2025

Lessons from Anaconda: Democratization Over Perfection Shi played a pivotal role in the early days of Anaconda, a project that significantly lowered the barrier to entry for Python-based data science. By solving that pain, Anaconda became foundational for many practitioners and helped grow the Python data science ecosystem.

Data Science 52

Data Science AI AI Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 25, 2024

Solution overview SageMaker JumpStart provides FMs through two primary interfaces: Amazon SageMaker Studio and the SageMaker Python SDK. SageMaker Studio is a comprehensive interactive development environment (IDE) that offers a unified, web-based interface for performing all aspects of the machine learning (ML) development lifecycle.

AWS 101

AWS Python ML ML 101

AWS Machine Learning Blog

APRIL 4, 2025

Start an LLMaaJ evaluation job with BYOI using the Python SDK and APIs To use the Python SDK for creating an LLMaaJ model evaluation job with your own inference responses, use the following steps. Hover over an individual score to view its detailed explanation. jsonl extension # Initialize AWS clients bedrock_client = boto3.client('bedrock',

AWS 120

AWS AI AI ML 120

Hacker News

JULY 22, 2025

Prerequisites To follow along with this guide, youll need Python 3.10 Familiarity with Python and API calls is helpful, but well walk through each step in detail. python-dotenv == 1.0.0 Configuring Hugging Face Access for Llama 3.1 Configuring Hugging Face Access for Llama 3.1 or higher installed on your system. colorama == 0.4.6

AI 93

AI AI Python AWS 93