Towards AI

JUNE 27, 2023

In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role. Let’s get started with the best machine learning (ML) developer tools: TensorFlow TensorFlow, developed by the Google Brain team, is one of the most utilized machine learning tools in the industry.

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Mlearning.ai

JUNE 29, 2023

Photo by Aditya Chache on Unsplash DBSCAN in Density Based Algorithms : Density Based Spatial Clustering Of Applications with Noise. Earlier Topics: Since, We have seen centroid based algorithm for clustering like K-Means.Centroid based : K-Means, K-Means ++ , K-Medoids. & One among the many density based algorithms is “DBSCAN”.

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ODSC - Open Data Science

JULY 26, 2023

As a senior data scientist, I often encounter aspiring data scientists eager to learn about machine learning (ML). Machine learning is a subfield of artificial intelligence (AI) that enables computers to learn and make decisions or predictions without explicit programming. What is Machine Learning?

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Mlearning.ai

FEBRUARY 17, 2023

Basically, Machine learning is a part of the Artificial intelligence field, which is mainly defined as a technic that gives the possibility to predict the future based on a massive amount of past known or unknown data. ML algorithms can be broadly divided into supervised learning , unsupervised learning , and reinforcement learning.

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Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. Unsupervised ML: The Basics. Unlike supervised ML, we do not manage the unsupervised model. Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets.

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Dataconomy

MAY 16, 2023

Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed. With the explosion of big data and advancements in computing power, organizations can now collect, store, and analyze massive amounts of data to gain valuable insights.

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ODSC - Open Data Science

MAY 30, 2023

Be sure to check out his talk, “ ML Applications in Asset Allocation and Portfolio Management ,” there! My talk “ML Applications in Asset Allocation and Portfolio Management” on June 15 at ODSC Europe in London reviews ML applications to asset allocation and puts them into the context of the current market situation.

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AWS Machine Learning Blog

APRIL 29, 2024

Continual pre-training techniques like the ones described in this post require access to high-performance compute instances, which has become more difficult to get as more developers are using generative artificial intelligence (AI) and LLMs for their applications. Our cluster consisted of 16 nodes, each equipped with a trn1n.32xlarge

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Towards AI

MAY 2, 2023

Use plain English to build ML models to identify profitable customer segments. 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.

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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. These methods can help businesses to make sense of their data and to identify trends and patterns that would otherwise be invisible. It is a cloud-based platform, so it can be accessed from anywhere.

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Data Science 101

NOVEMBER 11, 2019

Data Science Announcements from Microsoft Ignite Many other services were announced such as: Azure Quantum, Project Silica, R support in Azure ML, and Visual Studio Online. Call for Research Proposals Amazon is seeking proposals impact research in the Artificial Intelligence and Machine Learning areas. Amazon Web Services.

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ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s a use case of how you can use a real-time analytics stack to build a pizza delivery service.

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Mlearning.ai

NOVEMBER 3, 2023

I think I managed to get most of the ML players in there…?? And who by gradient descent, who by quick segment Who in the cluster, who in the top percent Who by linear regression, who by SVM Who in random forest, who in deep learning And who shall I say is normalizing?

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Mlearning.ai

MAY 19, 2023

Here is HuggingFace Link: [link] From the Mosaic ML paper. Here is the HuggingFace Link: [link] From the Mosaic ML paper. Additionally, it allows seamless resumption of training from any point in the dataset (before the crash for example) without the need to fast-forward the dataloader from the beginning From the Mosaic ML paper.

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ODSC - Open Data Science

APRIL 13, 2023

Botnets Detection at Scale — Lessons Learned From Clustering Billions of Web Attacks Into Botnets Read more to learn about the data flow, the challenges, and the way we get successful results of botnet detection. Here’s how.

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Towards AI

FEBRUARY 1, 2024

Winnerikpe is diving deeper into Artificial Intelligence and Machine Learning and hopes to find some awesome learning partners. If you are passionate about AI/ML and looking for a teammate to explore, contact them in the thread! Master clustering with this guide covering foundation and practical use.

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ODSC - Open Data Science

MARCH 27, 2023

Botnets Detection at Scale — Lesson Learned from Clustering Billions of Web Attacks into Botnets. ML Governance: A Lean Approach Ryan Dawson | Principal Data Engineer | Thoughtworks Meissane Chami | Senior ML Engineer | Thoughtworks During this session, you’ll discuss the day-to-day realities of ML Governance.

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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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AWS Machine Learning Blog

NOVEMBER 16, 2023

One of the key drivers of Philips’ innovation strategy is artificial intelligence (AI), which enables the creation of smart and personalized products and services that can improve health outcomes, enhance customer experience, and optimize operational efficiency.

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Dataconomy

AUGUST 9, 2023

This is where the power of machine learning (ML) comes into play. While network traffic analysis has traditionally involved many careful steps but today AI and ML applications have both accelerated and simplified this process ( Image credit ) Network traffic analysis is traditionally a multi-stage and complicated process.

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PyImageSearch

MARCH 30, 2023

What is Machine Learning A Closer Look at Machine Learning Machine learning (ML) revolves around creating algorithms and related systems that learn behavior strategies in specific environments using instructions and training data sets. However, many researchers aim to expand the capabilities of these systems to cover multiple domains.

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AWS Machine Learning Blog

APRIL 17, 2023

You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. In this post, we demonstrate how you can connect your RStudio on SageMaker domain with an EMR cluster.

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Mlearning.ai

MARCH 1, 2023

Diagram 1 Phenoms and 57s are both clustered around their respective centroids. Clustering methods are a hot topic in data analisys 2.3 Whenever a measure approaches a cluster, you classify it as belonging to that cluster. Also, would be suitable to create other clusters for civil and military drones, for example.

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ODSC - Open Data Science

JUNE 7, 2023

Gözde Gül Şahin | Assistant Professor, KUIS AI Fellow | KOC University Fraud Detection with Machine Learning: Laura Mitchell | Senior Data Science Manager | MoonPay Deep Learning and Comparisons between Large Language Models: Hossam Amer, PhD | Applied Scientist | Microsoft Multimodal Video Representations and Their Extension to Visual Language Navigation: (..)

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Pickl AI

APRIL 3, 2023

Apparently, ML algorithms ensure to train of the data enabling the new data input to make compelling predictions and deliver accurate results. Significantly, there are two types of Unsupervised Learning: Clustering: which involves grouping similar data points together. There are two types, including clustering and Association.

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AWS Machine Learning Blog

MAY 3, 2023

For any machine learning (ML) problem, the data scientist begins by working with data. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

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ODSC - Open Data Science

JUNE 6, 2023

He’ll posit that StarAI and Probabilistic Logic form an ideal basis for developing neuro-symbolic artificial intelligence techniques. Why GPU Clusters Don’t Need to Go Brrr? Unifying ML With One Line of Code Daniel Lenton, PhD | CEO | Ivy Why should we try to unify the ML frameworks?

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ODSC - Open Data Science

OCTOBER 13, 2023

Chelsea is a leading expert in artificial intelligence (AI) and robotics, and her research focuses on developing methods for robots and other agents to learn and adapt to new tasks and environments quickly and efficiently. After that, he worked as a quant at a hedge fund on a 600 GPU cluster. What Should We do About it?

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AWS Machine Learning Blog

APRIL 7, 2023

As one of the most prominent use cases to date, machine learning (ML) at the edge has allowed enterprises to deploy ML models closer to their end-customers to reduce latency and increase responsiveness of their applications. Even ground and aerial robotics can use ML to unlock safer, more autonomous operations.

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AWS Machine Learning Blog

MAY 23, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are rapidly adopting and using ML technologies to transform their businesses.

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ODSC - Open Data Science

MAY 29, 2023

Be sure to check out his talk, “ Production ML for Mission-Critical Applications ,” there! Using an ML model in a product, service, or business process means that the model results need to be repeatable and predictable. Editor’s note: Robert Crowe is a speaker for ODSC Europe this June.

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AWS Machine Learning Blog

FEBRUARY 12, 2024

Sharing in-house resources with other internal teams, the Ranking team machine learning (ML) scientists often encountered long wait times to access resources for model training and experimentation – challenging their ability to rapidly experiment and innovate. If it shows online improvement, it can be deployed to all the users.

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ODSC - Open Data Science

MARCH 15, 2023

You’ll also explore centrality metrics, networking density, various layout algorithms, and strategies for interpreting and communicating graph data. You’ll also learn how to use visuals to promote understanding and retention.

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Mlearning.ai

JULY 22, 2023

__version__ Let's try clustering a sample dataset and compare the runtime of clustering functions by running it with CPU and then with GPU. host_data = device_data.get() host_labels = device_labels.get() Running KMeans clustering on CPU. . Import the packages. This is done to later compare CPU and GPU results.

Machine Learning 52

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Ocean Protocol

AUGUST 1, 2023

This challenge scratched the surface to learn how machine learning and artificial intelligence streamline and improve efficiency and sustainable practice in the transportation of perishable goods and animals. Have you ever wondered how AI and ML can impact a real-world business case like supply chain management?

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ODSC - Open Data Science

NOVEMBER 20, 2023

But please enjoy this small taste of ODSC West highlights: Human-Centered Artificial Intelligence Peter Norvig | Engineering Director at Google | Education Fellow at Stanford Institute for (HAI) There has been incredible technical progress in AI applications in recent years. There were far too many such sessions to include all below.

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