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? Follow along!

Machine Learning 153

Machine Learning Machine Learning Deep Learning Deep Learning 153

Smart Data Collective

NOVEMBER 23, 2022

Machine learning technology has transformed countless fields in recent years. One of the professions affected the most by advances in machine learning is mobile app development. billion within the next five years , since machine learning helps developers create powerful new apps.

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Machine Learning Machine Learning Algorithm Artificial Intelligence 136

AWS Machine Learning Blog

NOVEMBER 13, 2024

Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates 25 years of experience innovating with AI and machine learning at Amazon. To upload the dataset Download the dataset : Go to the Shoe Dataset page on Kaggle.com and download the dataset file (350.79MB) that contains the images.

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AWS Database K-nearest Neighbors AI 122

Smart Data Collective

NOVEMBER 16, 2022

Machine learning technology is one of the new technologies that has drastically changed the state of video editing. Machine learning also makes it easier for video editors to create more engaging videos by utilizing unique features that were not previously possible. Keep reading to learn more.

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Machine Learning Machine Learning AI AI 131

Smart Data Collective

MAY 24, 2019

Machine learning is playing an increasingly important role in web development. However, advances in machine learning have made them much more robust. One of the most important ways that machine learning is changing the Internet user experience is with the development of progressive web applications (PWAs).

Machine Learning 111

Machine Learning Machine Learning Internet of Things Algorithm 111

PyImageSearch

DECEMBER 23, 2024

These scenarios demand efficient algorithms to process and retrieve relevant data swiftly. This is where Approximate Nearest Neighbor (ANN) search algorithms come into play. ANN algorithms are designed to quickly find data points close to a given query point without necessarily being the absolute closest.

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K-nearest Neighbors Algorithm Deep Learning Deep Learning 117

PyImageSearch

MAY 8, 2023

Home Table of Contents Introduction to Causality in Machine Learning Correlation and Causation Case Study 1: A “Marvelous” Problem Scenario 1: A Direct Cause Scenario 2: Reversing the Cause and Effect Scenario 3: Investigating a Hidden Cause Causal Thinking Case Study 2: Food App Conundrum Quiz Time! Let’s find out.

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

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 110

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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Machine Learning Machine Learning ML ML 98

AWS Machine Learning Blog

JANUARY 21, 2025

In this post, we show you how Amazon Web Services (AWS) helps in solving forecasting challenges by customizing machine learning (ML) models for forecasting. To learn more about the modalities that Amazon SageMaker Canvas supports, visit the Amazon SageMaker Canvas product page. To download a copy of this dataset, visit.

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ML ML Algorithm AWS 103

AWS Machine Learning Blog

JANUARY 31, 2025

These models are trained using self-supervised learning algorithms on expansive datasets, enabling them to capture a comprehensive repertoire of visual representations and patterns inherent within pathology images. script that automatically downloads and organizes the data in your EFS storage.

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AWS Supervised Learning ML ML 117

Flipboard

APRIL 17, 2023

Home Table of Contents Learning JAX in 2023: Part 3 — A Step-by-Step Guide to Training Your First Machine Learning Model with JAX Configuring Your Development Environment Having Problems Configuring Your Development Environment? ? The model will consist of a single weight and a single bias parameter that will be learned.

Machine Learning 139

Machine Learning Machine Learning Deep Learning Deep Learning 139

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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Machine Learning Machine Learning ML ML 106

DataRobot

AUGUST 16, 2021

But as the technology’s popularity grows, a number of concerning examples have emerged of AI models operating with algorithmic bias. Algorithmic bias can appear in both supervised and unsupervised AI models. Algorithmic bias can appear in both supervised and unsupervised AI models.

Algorithm 98

Algorithm AI AI Artificial Intelligence 98

Towards AI

JULY 15, 2023

Traditional methods for detecting fake accounts often rely on complex machine-learning algorithms. This article explores how we can harness the power of Benford’s Law, in conjunction with machine learning techniques, to expose fake Twitter followers. Photo by Author.

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Machine Learning Machine Learning Hypothesis Testing Algorithm 89

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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AWS Machine Learning Blog

MARCH 29, 2023

On November 30, 2021, we announced the general availability of Amazon SageMaker Canvas , a visual point-and-click interface that enables business analysts to generate highly accurate machine learning (ML) predictions without having to write a single line of code.

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Machine Learning Machine Learning ML ML 98

AWS Machine Learning Blog

NOVEMBER 15, 2023

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model.

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Algorithm AWS ML ML 126

PyImageSearch

MARCH 3, 2025

This branch of mathematics is particularly important in the context of optimization algorithms, which are used to fine-tune machine learning models to achieve the best possible performance. Understanding vector calculus is, therefore, essential for anyone working in the field of machine learning and optimization.

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Machine Learning Machine Learning Deep Learning Deep Learning 62

Towards AI

FEBRUARY 3, 2025

app downloads, DeepSeek is growing in popularity with each passing hour. Adaptive Learning Process: DeepSeek AI works in real-time with feedback loops, and it is not set once and done, like a model. AI is being discussed in various sectors like healthcare, banking, education, manufacturing, etc.

AI 121

AI AI Natural Language Processing Artificial Intelligence 121

PyImageSearch

AUGUST 5, 2024

One such probabilistic model that has gained significant attention is the “BM25” (Best Match 25) algorithm. The BM25 algorithm, with its probabilistic foundation, offers a more sophisticated and effective approach, making it a compelling topic of exploration. It is based on the probabilistic retrieval framework.

Algorithm 76

Algorithm Python Machine Learning Machine Learning 76

Pickl AI

DECEMBER 3, 2024

Summary: The UCI Machine Learning Repository, established in 1987, is a crucial resource for Machine Learning practitioners. It supports various learning tasks, including classification and regression, and is organised by type and domain, facilitating easy access for users worldwide.

Machine Learning 52

Machine Learning Machine Learning Clustering Supervised Learning 52

Towards AI

AUGUST 17, 2023

Problem Statement The data can be downloaded from here: Seattle Burke Gilman Trail | Kaggle The essence of this problem statement is that we need to detect anomalies 3 hours in advance. Explore Open Data from the City of Seattle Table Of Contents: I. The Problem Statement II. Remodeling time series into a supervised problem III.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

AWS Machine Learning Blog

MAY 8, 2024

Amazon SageMaker JumpStart provides a suite of built-in algorithms , pre-trained models , and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning.

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Algorithm Machine Learning Machine Learning ML 130

Applied Data Science

AUGUST 2, 2021

Download the free, unabridged version here. Machine learning The 6 key trends you need to know in 2021 ? They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team.

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Data Science Data Scientist ML ML 130

AWS Machine Learning Blog

OCTOBER 5, 2023

First, download the Llama 2 model and training datasets and preprocess them using the Llama 2 tokenizer. For detailed guidance of downloading models and the argument of the preprocessing script, refer to Download LlamaV2 dataset and tokenizer. He focuses on developing scalable machine learning algorithms.

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AWS Machine Learning Machine Learning Deep Learning 132

AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. Image 1: Image 2: Input: def url_to_base64(image_url): # Download the image response = requests.get(image_url) if response.status_code != b64encode(img).decode('utf-8') b64encode(response.content).decode('utf-8')

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AWS Machine Learning Machine Learning ML 122

Dataconomy

SEPTEMBER 9, 2024

The app uses advanced machine learning algorithms trained on thousands of music tracks to create new compositions that match the user’s description. Here’s a quick breakdown of the process: Step 1 : Download the Jamboss app on your iOS device (Android support coming soon). Step 2 : Log in to the app.

AI 172

AI AI Machine Learning Machine Learning 172

Dataconomy

MAY 10, 2023

Logos can be created quickly and easily with the help of AI logo generators, which are online tools that employ AI and machine learning to create logo ideas depending on your preferences. Brandmark uses a deep learning algorithm that analyzes your brand name, industry, and keywords to generate logos that match your brand identity.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

Amazon SageMaker is a comprehensive, fully managed machine learning (ML) platform that revolutionizes the entire ML workflow. Data scientists and developers can use the SageMaker integrated development environment (IDE) to access a vast array of pre-built algorithms, customize their own models, and seamlessly scale their solutions.

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AWS Computer Science Computer Science Database 114

Pickl AI

DECEMBER 9, 2024

Summary: AI and Machine Learning courses provide essential skills for thriving in a tech-driven world. Introduction The rapidly expanding fields of AI and Machine Learning are reshaping industries worldwide, and acquiring skills in these areas is crucial. The global Machine Learning market, valued at USD 35.80

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Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

MARCH 8, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. It also provides common ML algorithms that are optimized to run efficiently against extremely large data in a distributed environment. This is the step that eliminates the need for data to be first downloaded into an S3 bucket.

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ML ML AWS Python 136

Smart Data Collective

OCTOBER 11, 2020

We talked about the use of machine learning and big data in web development. However, there are other machine learning algorithms that can be used for design platforms. Machine learning has changed the nature of online platforms. The User Interface. Usage and Features.

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Machine Learning Machine Learning Big Data Big Data 141

Dataconomy

SEPTEMBER 5, 2023

Instead of relying on complex machine learning algorithms, Ebsynth employs a sophisticated non-parametric texture synthesis approach. Here’s a beginner’s guide to kickstart your journey with Ebsynth: Download and Installation : Head to Ebsynth’s official website and grab the software.

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AI AI Artificial Intelligence Artificial Intelligence 195

Pickl AI

NOVEMBER 4, 2024

Familiarity with basic programming concepts and mathematical principles will significantly enhance your learning experience and help you grasp the complexities of Data Analysis and Machine Learning. Basic Programming Concepts To effectively learn Python, it’s crucial to understand fundamental programming concepts.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

JULY 10, 2024

Summary: Explore a range of top AI and Machine Learning courses that cover fundamental to advanced concepts, offering hands-on projects and industry insights. Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Flipboard

APRIL 23, 2025

When processing is triggered, endpoints are automatically initialized and model artifacts are downloaded from Amazon S3. Extractive summarization: The extractive summarization process employs the TextRank algorithm, powered by sumy and NLTK libraries, to identify and extract the most significant sentences from source documents.

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