AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. Understanding artificial intelligence Before diving into the process of creating AI, it is important to understand the key concepts and types of AI.

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ODSC - Open Data Science

FEBRUARY 23, 2023

Justice Department The Justice Department recently made a request for information from Tesla regarding its use of artificial intelligence in its self-driving cars. Tesla’s Automated Driving Documents Have Been Requested by The U.S. The Quest to Create AI Therapists We have chatbots for almost everything, including AI therapists now.

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Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. It equips you to build and deploy intelligent systems confidently and efficiently.

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ODSC - Open Data Science

AUGUST 31, 2023

Visualization for Clustering Methods Clustering methods are a big part of data science, and here’s a primer on how you can visualize them. Video of the Week: Lightning Interview “Confident Data Science” Artificial intelligence is a hot field right now, with thousands of people eager to enter the industry.

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Towards AI

MAY 8, 2024

For example, in my implementation of the simplex code, we get the same answer from the Python scratch implementation and the one from the package. K-means is probably one of the most clustering algorithms out there. Likewise, K-means is an algorithm with a stochastic component, particularly in its initialization.

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PyImageSearch

SEPTEMBER 30, 2024

Home Table of Contents Introduction to GitHub Actions for Python Projects Introduction What Is CICD? For Python projects, CI/CD pipelines ensure that your code is consistently integrated and delivered with high quality and reliability. Git is the most commonly used VCS for Python projects, enabling collaboration and version tracking.

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AWS Machine Learning Blog

MAY 14, 2025

With HyperPod, users can begin the process by connecting to the login/head node of the Slurm cluster. Alternatively, you can also use the AWS CloudFormation template provided in the Own Account workshop and follow the instructions to set up a cluster and a development environment to access and submit jobs to the cluster.

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Pickl AI

JANUARY 12, 2025

Besides, there is a balance between the precision of traditional data analysis and the innovative potential of explainable artificial intelligence. Machine learning allows an explainable artificial intelligence system to learn and change to achieve improved performance in highly dynamic and complex settings.

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Data Science Dojo

AUGUST 19, 2024

This is used for tasks like clustering, dimensionality reduction, and anomaly detection. For example, clustering customers based on their purchase history to identify different customer segments. Python Explain the steps involved in training a decision tree. How do you stay updated with the latest advancements in AI?

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Pickl AI

JANUARY 13, 2025

Summary: This curated list of 20 Artificial Intelligence books for beginners highlights foundational concepts, coding practices, and ethical insights. Introduction Artificial Intelligence (AI) continues to shape the future, with its market size skyrocketing from $515.31 Practical examples using Python and R.

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Pickl AI

OCTOBER 20, 2024

Summary: Learning Artificial Intelligence involves mastering Python programming, understanding Machine Learning principles, and engaging in practical projects. Introduction Artificial Intelligence (AI) is transforming industries worldwide, with applications in healthcare, finance, and technology. dollars by 2030.

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Pickl AI

MARCH 13, 2023

INTRODUCTION Machine Learning is a subfield of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn and make predictions or decisions based on data, without being explicitly programmed. WHAT IS CLUSTERING? Those groups are referred to as clusters.

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Towards AI

JANUARY 6, 2025

TOP 20 AI CERTIFICATIONS TO ENROLL IN 2025 Ramp up your AI career with the most trusted AI certification programs and the latest artificial intelligence skills. AGI would mean AI can think, learn, and work just like a human, an incredible leap in artificial intelligence technology.

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

Working on community projects improved my skills in Python, Jupyter, numpy, pandas, and ROS. Within a year, we built a world-class inference platform processing over 2 billion video frames daily using dynamically scaled Amazon Elastic Kubernetes Service (Amazon EKS) clusters.

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Flipboard

FEBRUARY 16, 2023

Modern model pre-training often calls for larger cluster deployment to reduce time and cost. As part of a single cluster run, you can spin up a cluster of Trn1 instances with Trainium accelerators. Trn1 UltraClusters can host up to 30,000 Trainium devices and deliver up to 6 exaflops of compute in a single cluster.

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AWS Machine Learning Blog

SEPTEMBER 3, 2024

From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability. This same interface is also used for provisioning EMR clusters. The following diagram illustrates this solution.

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Data Science Dojo

JULY 17, 2023

In recent years, there has been a growing interest in the use of artificial intelligence (AI) for data analysis. It is similar to TensorFlow, but it is designed to be more Pythonic. Scikit-learn Scikit-learn is an open-source machine learning library for Python.

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Data Science Blog

JUNE 30, 2023

The skill clusters are formed via the discipline of Topic Modelling , a method from unsupervised machine learning , which show the differences in the distribution of requirements between them. The presentation is currently limited to the current situation on the labor market. Why we did it?

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Mlearning.ai

APRIL 28, 2023

One of the popular techniques for detecting anomalies or outliers in data is K-means clustering, a machine learning algorithm that can uncover patterns and groupings in large datasets. In this article, we will explore the application of K-means clustering to a credit card dataset to identify potential fraud cases.

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Smart Data Collective

JUNE 4, 2021

Programming Language (R or Python). Programmers can start with either R or Python. it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Python can be added to the skill set later. Both R (ggplot2) and python (Matplotlib) have excellent graphing capabilities.

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Data Science Dojo

JULY 3, 2024

They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization. Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning.

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Data Science Dojo

JUNE 20, 2023

They extend beyond the scope of instructing artificial intelligence in human languages and find utility in comprehending proteins, composing software code, and numerous other applications. Code generation : LLMs can generate code, such as Python or Java code. Question answering : LLMs can answer questions about text.

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AWS Machine Learning Blog

APRIL 5, 2024

A grid system is established with a 48-meter grid size using Mapbox’s Supermercado Python library at zoom level 19, enabling precise spatial analysis. The geospatial notebook kernel is pre-installed with commonly used geospatial libraries, enabling direct visualization and processing of geospatial data within the Python notebook environment.

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Mlearning.ai

APRIL 15, 2023

How Clustering Can Help You Understand Your Customers Better Customer segmentation is crucial for businesses to better understand their customers, target marketing efforts, and improve satisfaction. Clustering, a popular machine learning technique, identifies patterns in large datasets to group similar customers and gain insights.

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Towards AI

MAY 2, 2023

Here is an example plot we will create by just asking in plain English to create 3 clusters (using kmeans) using income and spending variables, and present the breakdown of spending for each cluster without writing any code. Streamlit is an open-source Python library to create interactive web applications and data dashboards.

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ODSC - Open Data Science

AUGUST 7, 2023

Their goal is simply to harness the power of artificial intelligence to develop the best technology to protect both service members and civilians through 21st-century-facing aerospace and defense tech. Their platform was developed for working with Spark and provides automated cluster management and Python-style notebooks.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

With Amazon SageMaker , now you can run a SageMaker training job simply by annotating your Python code with @remote decorator. The SageMaker Python SDK automatically translates your existing workspace environment, and any associated data processing code and datasets, into an SageMaker training job that runs on the training platform.

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PyImageSearch

MAY 19, 2025

Each word or sentence is mapped to a high-dimensional vector space, where similar meanings cluster together. Implement and analyze search results using Python scripts. Now, lets implement a Python script to execute the neural search query in OpenSearch. Figure 3: What Is Semantic Search? disable_warnings(urllib3.exceptions.InsecureRequestWarning)

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ODSC - Open Data Science

APRIL 24, 2023

Botnet Detection at Scale — Lessons Learned From Clustering Billions of Web Attacks Into Botnets Editor’s note: Ori Nakar is a speaker for ODSC Europe this June. Be sure to check out his talk, “ Botnet detection at scale — Lesson learned from clustering billions of web attacks into botnets ,” there!

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How to Learn Machine Learning

MAY 2, 2025

Azure ML SDK : For those who prefer a code-first approach, the Azure Machine Learning Python SDK allows data scientists to work in familiar environments like Jupyter notebooks while leveraging Azure’s capabilities. Check out the Python SDK reference for detailed information. Deep Learning with Python by Francois Chollet.

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Pickl AI

MAY 31, 2023

Python is one of the widely used programming languages in the world having its own significance and benefits. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Some of the top Data Science courses for Kids with Python have been mentioned in this blog for you.

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AWS Machine Learning Blog

JANUARY 17, 2024

The GPU-powered interactive visualizer and Python notebooks provide a seamless way to explore millions of data points in a single window and share insights and results. We can analyze activities by identifying stops made by the user or mobile device by clustering pings using ML models in Amazon SageMaker.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

Libraries The programming language used in this code is Python, complemented by the LangChain module, which is specifically designed to facilitate the integration and use of LLMs. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module. This method takes a parameter, which we set to 3.

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AWS Machine Learning Blog

MAY 1, 2024

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). In high performance computing (HPC) clusters, such as those used for deep learning model training, hardware resiliency issues can be a potential obstacle. Llama2 by Meta is an example of an LLM offered by AWS.

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How to Learn Machine Learning

AUGUST 14, 2024

Machine learning for text extraction with Python is one of the best combos out there for this task. In this blog post, we’ll talk about how one can use Machine learning and Python to perform text extraction with the highest level of accuracy. Python has a network of libraries for tasks related to text processing and machine learning.

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