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.

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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.

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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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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?

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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),

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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

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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).

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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.

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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.

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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.

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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

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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.

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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.

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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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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.

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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.

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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?

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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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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role.

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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.

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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.

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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.

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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?

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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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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.

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AWS Machine Learning Blog

APRIL 7, 2025

Discover Llama 4 models in SageMaker JumpStart SageMaker JumpStart provides FMs through two primary interfaces: SageMaker Studio and the Amazon SageMaker Python SDK. Alternatively, you can use the SageMaker Python SDK to programmatically access and use SageMaker JumpStart models. b64encode(img).decode('utf-8')

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Towards AI

APRIL 7, 2024

Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care. Figure 3: The required python libraries The problem presented to us is a predictive analysis problem which means that we will be heavily involved in finding patterns and predictions rather than seeking recommendations.

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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!

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AWS Machine Learning Blog

MARCH 8, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. This post shows a way to do this using Snowflake as the data source and by downloading the data directly from Snowflake into a SageMaker Training job instance. This is the step that eliminates the need for data to be first downloaded into an S3 bucket.

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Towards AI

AUGUST 29, 2023

C++ enterprise application for Windows executes a Python module. Image generated by the author using AI tools Intro Python’s simplicity, extensive package ecosystem, and supportive community make it an attractive choice. Frequently, Python code invokes C++ methods for intricate algorithmic calculations. Neither seems optimal.

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The MLOps Blog

MAY 10, 2023

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. In this article, you will learn about different methods of saving, storing, and packaging a trained machine-learning model, along with the pros and cons of each method.

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AWS Machine Learning Blog

DECEMBER 1, 2023

The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. Download this dataset and store this in an S3 bucket of your choice. SageMaker Canvas allows interactive data exploration, transformation, and preparation without writing any SQL or Python code.

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AWS Machine Learning Blog

MAY 9, 2023

Amazon SageMaker provides a number of options for users who are looking for a solution to host their machine learning (ML) models. In this post, we help you understand the Python backend that is supported by Triton on SageMaker so that you can make an informed decision for your workloads and achieve great results.

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Towards AI

FEBRUARY 16, 2024

The confusion of the Python Plotly dashboard design is clarified with the precision of GPT-4 prompting. If I have a data set, I can create an interactive Python Plotly dashboard with a single GPT-4 prompt. The data can be downloaded from Our World In Data (HERE). Maybe you’re not convinced? Let’s give it a try!

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AWS Machine Learning Blog

JANUARY 29, 2025

You can customize the retry behavior using the AWS SDK for Python (Boto3) Config object. Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps. The restoration time varies depending on the on-demand fleet size and model size.

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IBM Data Science in Practice

MARCH 8, 2023

Introduction This article shows how to build a machine learning model on a Watson Studio platform running on IBM Cloud Pak for Data (CPD). You can leverage both platforms to bring a machine learning model from development to production with maximum flexibility. environment running on IBM Cloud Pak for Data 4.5.x,

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Towards AI

JANUARY 2, 2024

Bringing Pictures to Life: A Step-by-Step Guide to Text Generation from Images Using Python. Image to Speech application (video by author) We start by installing the interference engine to run the model and download the model weights. created by DALL-E 3). Join thousands of data leaders on the AI newsletter.

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