Data Science Dojo

OCTOBER 2, 2023

ChatGPT can also use Wolfram Language to perform more complex tasks, such as simulating physical systems or training machine learning models. Deploy machine learning Models:   You can use the plugin to train and deploy machine learning models.

Data Science 497

Data Science Machine Learning Machine Learning Data Analysis 497

Analytics Vidhya

JUNE 30, 2021

The post Download 15 years of Nifty Index Options Data using NSEpy Package appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon In my previous article on fat tails in the NSE.

Data Science 266

Data Science Analytics Analytics Data Mining 266

Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and Machine Learning algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. The most revolutionary technology that enables this is called machine learning. You can download Pegasus using pip with simple instructions.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Data Science Dojo

JUNE 14, 2023

The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. So, when you say AI, it automatically includes machine learning as well. Now, we will take a look at how machine learning works in Paraphrasing tools.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Data Science Dojo

JUNE 14, 2023

The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. So, when you say AI, it automatically includes machine learning as well. Now, we will take a look at how machine learning works in Paraphrasing tools.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Flipboard

JUNE 9, 2025

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 9, 2025 in Python Image by Author | Ideogram Have you ever spent several hours on repetitive tasks that leave you feeling bored and… unproductive? But you can automate most of this boring stuff with Python. I totally get it. Let’s get started.

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Python Natural Language Processing Data Science Machine Learning 65

Flipboard

OCTOBER 9, 2023

This lesson is the 2nd of a 3-part series on Docker for Machine Learning : Getting Started with Docker for Machine Learning Getting Used to Docker for Machine Learning (this tutorial) Lesson 3 To learn how to create a Docker Container for Machine Learning, just keep reading. the image).

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Machine Learning Machine Learning Deep Learning Deep Learning 153

Flipboard

SEPTEMBER 4, 2023

Home Table of Contents Getting Started with Docker for Machine Learning Overview: Why the Need? How Do Containers Differ from Virtual Machines? Finally, we will top it off by installing Docker on our local machine with simple and easy-to-follow steps. What Are Containers?

Machine Learning 153

Machine Learning Machine Learning Deep Learning Deep Learning 153

Pickl AI

NOVEMBER 4, 2024

Summary: Python for Data Science is crucial for efficiently analysing large datasets. With numerous resources available, mastering Python opens up exciting career opportunities. Introduction Python for Data Science has emerged as a pivotal tool in the data-driven world. As the global Python market is projected to reach USD 100.6

Data Science 52

Data Science Python Machine Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 11, 2025

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. To download and preprocess the data as an Amazon SageMaker Processing step, use the following code. million edges.

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AWS Python ML ML 112

AWS Machine Learning Blog

DECEMBER 2, 2024

Container Caching addresses this scaling challenge by pre-caching the container image, eliminating the need to download it when scaling up. We discuss how this innovation significantly reduces container download and load times during scaling events, a major bottleneck in LLM and generative AI inference.

AI 111

AI AI AWS Machine Learning 111

AWS Machine Learning Blog

DECEMBER 2, 2024

One of the primary bottlenecks in the deployment process is the time required to download and load containers when scaling up endpoints or launching new instances. To reduce the time it takes to download and load the container image, SageMaker now supports container caching.

AWS 114

AWS Machine Learning Machine Learning ML 114

Towards AI

FEBRUARY 5, 2025

Recently I have noticed that GPT-4 has improved in leaps and bounds with its ability to create Python code for multi-visual dashboards. Has it also improved its skill in providing seamless dashboard creation for other Python dashboard libraries? For this exercise, I will be using the downloaded file (saved as happiness_years02.csv),

Python 84

Python Data Visualization AI AI 84

Towards AI

NOVEMBER 6, 2024

But how can we harness machine learning for something as niche as rice classification? Well, this is where PyTorch, a powerful deep learning library, steps in. This hands-on tutorial is designed for anyone with a basic understanding of Python, and I’ll walk you through each step of the code so you can follow along effortlessly.

Deep Learning 133

Deep Learning Deep Learning Machine Learning Machine Learning 133

IBM Data Science in Practice

JANUARY 26, 2023

Co-authored by Carolyn Saplicki and Courtney Branson Many businesses today use the R programming language to build their machine learning models. To use the R model on WML, you have to wrap your R script within a Python wrapper function. Currently, R model deployments are not natively supported by WML.

Machine Learning 130

Machine Learning Machine Learning Python Data Science 130

Towards AI

FEBRUARY 10, 2025

Recently, I have been constantly hassling GPT-4 to generate Python Streamlit dashboard code. Starting with an interesting dataset, we can create a working interactive Python Streamlit dashboard with a single GPT-4 prompt. Our focus here is theGlobal Peace Index data downloaded from the visionofhumanity.org website (located HERE).

Python 74

Python AI AI Data Visualization 74

AWS Machine Learning Blog

OCTOBER 18, 2024

This seamless cloud-to-edge AI development experience will enable developers to create optimized, highly performant, and custom managed machine learning solutions where you can bring you own model (BYOM) and bring your own data (BYOD) to meet varied business requirements across industries. environment. An AWS account.

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Towards AI

DECEMBER 16, 2024

Visualizing alarming UNHCR displacement trends with Python This member-only story is on us. Python Streamlit is an awesome framework for creating interactive web interfaces and GPT-4 can whip up working Streamlit code in a flash. We can find the raw data to download HERE. Upgrade to access all of Medium.

Data Visualization 103

Data Visualization Python AI AI 103

AWS Machine Learning Blog

NOVEMBER 14, 2024

Streamlit is an open source framework for data scientists to efficiently create interactive web-based data applications in pure Python. Install Python 3.7 or later on your local machine. Install dependencies and clone the example To get started, install the necessary packages on your local machine or on an EC2 instance.

AWS 114

AWS Python AI AI 114

AWS Machine Learning Blog

DECEMBER 24, 2024

source env_vars After setting your environment variables, download the lifecycle scripts required for bootstrapping the compute nodes on your SageMaker HyperPod cluster and define its configuration settings before uploading the scripts to your S3 bucket. The following is the bash script for the Python environment setup. get_model.sh.

AWS 109

AWS Clustering Deep Learning Deep Learning 109

Pickl AI

MARCH 21, 2025

Summary: Features of Python Programming Language is a versatile, beginner-friendly language known for its simple syntax, vast libraries, and cross-platform compatibility. With continuous updates and strong community support, Python remains a top choice for developers. Learn Python with Pickl.AI Learn Python with Pickl.AI

Python 52

Python Data Science Machine Learning Machine Learning 52

AWS Machine Learning Blog

OCTOBER 19, 2023

Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. For many industries, data that is useful for machine learning (ML) may contain personally identifiable information (PII). Download the SageMaker Data Wrangler flow.

Machine Learning 123

Machine Learning Machine Learning ML ML 123

AWS Machine Learning Blog

DECEMBER 16, 2024

Getting started with SageMaker JumpStart SageMaker JumpStart is a machine learning (ML) hub that can help accelerate your ML journey. 70B through SageMaker JumpStart offers two convenient approaches: using the intuitive SageMaker JumpStart UI or implementing programmatically through the SageMaker Python SDK. Deploying Llama 3.3

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AWS ML ML Python 102

Towards AI

FEBRUARY 20, 2024

Photo by Kevin Ku on Unsplash With machine learning continuing to dominate the technology landscape, people have eagerly jumped on the hype train and dived deep into the vast realm. Beginners in machine learning may not show any interest in learning a web development language such as JavaScript or PHP.

Machine Learning 115

Machine Learning Machine Learning Python AI 115

Flipboard

NOVEMBER 25, 2024

To learn how to generate high-quality 3D objects from a SINGLE image , just keep reading. Jump Right To The Downloads Section Image to 3D Objects At PyImageSearch, we have shown how to create 3D objects from an array of specialized images using Neural Implicit Scene Rendering (NeRFs). Looking for the source code to this post?

Python 156

Python Deep Learning Deep Learning Computer Science 156

PyImageSearch

JANUARY 13, 2025

To learn how to master YOLO11 and harness its capabilities for various computer vision tasks , just keep reading. Jump Right To The Downloads Section What Is YOLO11? Using Python # Load a model model = YOLO("yolo11n.pt") # Predict with the model results = model("[link] First, we load the YOLO11 object detection model.

Python 109

Python Deep Learning Deep Learning Computer Science 109

PyImageSearch

DECEMBER 30, 2024

Jump Right To The Downloads Section Need Help Configuring Your Development Environment? Hugging Face Spaces is a platform for deploying and sharing machine learning (ML) applications with the community. To set up the code, we need two files: requirements.txt: Here, well specify the Python dependencies our app requires.

Deep Learning 109

Deep Learning Deep Learning ML ML 109

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

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AWS ML ML Data Scientist 107

AWS Machine Learning Blog

SEPTEMBER 29, 2023

In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Common ML libraries such as OpenCV or scikit-learn are also used to perform crop segmentation using KNN classification, and these are also installed in the geospatial kernel.

Machine Learning 138

Machine Learning Machine Learning ML ML 138

Flipboard

FEBRUARY 10, 2025

Whether youre new to Gradio or looking to expand your machine learning (ML) toolkit, this guide will equip you to create versatile and impactful applications. Using the Ollama API (this tutorial) To learn how to build a multimodal chatbot with Gradio, Llama 3.2, curl ) and using the Python client ( ollama package).

Deep Learning 149

Deep Learning Deep Learning Python AI 149

ML @ CMU

APRIL 9, 2025

Thus far, over 11,000 users have downloaded Copilot Arena, and the tool has served over 100K completions, and accumulated over 25,000 code completion battles. In contrast, static benchmarks tend to focus on questions written solely in Python and English. The battles form a live leaderboard on the LMArena website.

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Python ML ML Algorithm 180

Towards AI

NOVEMBER 2, 2024

An image generated using Midjourney In the life of a Machine Learning Engineer, training a model is only half the battle. The library offers many pre-trained models and state-of-the-art algorithms, making it a popular choice among machine learning engineers and researchers.

Machine Learning 105

Machine Learning Machine Learning ML ML 105

PyImageSearch

FEBRUARY 20, 2023

Table of Contents Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? Jump Right To The Downloads Section Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? What Is JAX?

Machine Learning 117

Machine Learning Machine Learning Deep Learning Deep Learning 117

Towards AI

MARCH 13, 2024

This article will walk you through using ollama, a command line tool that allows you to download, explore and use Large Language Models (LLM) on your local PC, whether Windows, Mac or Linux, with GPU support. It is available both via GitHub and through the official website, where you can download the versions for Windows, Mac, and Linux.

Python 111

Python AI AI Machine Learning 111

Towards AI

DECEMBER 19, 2023

In terms of “working around”, I typically download the video and automate the subtitle-inputting process with Python. This involves First, download the video of your choiceExtracting the audio from the videoTranscribe the audio and then translate it into the language of your choice. pip install moviepy!pip pip install pytube!apt

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Python AI AI Machine Learning 118

Flipboard

JUNE 5, 2025

Amazon SageMaker AI provides a fully managed service for deploying these machine learning (ML) models with multiple inference options, allowing organizations to optimize for cost, latency, and throughput. In this application, we install or update a few libraries for running Llama.cpp in Python.

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AWS AI AI ML 112

Data Science Dojo

AUGUST 4, 2023

We will explore the underlying principle of virtualization, comparing Docker containers with virtual machines (VMs) to understand their differences. Plus, we will provide a hands-on Docker tutorial for data science using Python scripts, running on Windows OS, and integrated with Visual Studio Code (VS Code). But that is not all!

Data Science 195

Data Science Python Data Scientist Machine Learning 195