Data Science Dojo

JULY 5, 2024

Machine learning models are algorithms designed to identify patterns and make predictions or decisions based on data. Modern businesses are embracing machine learning (ML) models to gain a competitive edge. Since the impact and use of AI are growing drastically, it makes ML models a crucial element for modern businesses.

Machine Learning 322

Machine Learning Machine Learning ML ML 322

Data Science Dojo

SEPTEMBER 23, 2024

This powerful yet simple concept helps data scientists and machine learning practitioners assess the accuracy of classification algorithms , providing insights into how well a model is performing in predicting various classes. In this blog, we will explore the concept of a confusion matrix using a spam email example.

Machine Learning 434

Machine Learning Machine Learning Data Scientist ML 434

Data Science Dojo

FEBRUARY 13, 2025

In this blog, well explore the top AI conferences in the USA for 2025, breaking down what makes each one unique and why they deserve a spot on your calendar. From an enterprise perspective, this conference will help you learn to optimize business processes, integrate AI into your products, or understand how ML is reshaping industries.

AI 294

AI AI Big Data Big Data 294

ML @ CMU

JANUARY 8, 2025

Learning How to Answer Can Generalize Beyond To address the above issue, one emerging idea is to allow models to use test-time compute to find meta strategies or algorithms that can help them understand how to arrive at a good response. Figure 2: Examples of two algorithms and the corresponding stream of tokens generated by each algorithm.

Algorithm 189

Algorithm Machine Learning Machine Learning 189

Pickl AI

JANUARY 21, 2025

Summary: Machine Learning algorithms enable systems to learn from data and improve over time. These algorithms are integral to applications like recommendations and spam detection, shaping our interactions with technology daily. These intelligent predictions are powered by various Machine Learning algorithms.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Data Science Dojo

DECEMBER 28, 2023

That world is not science fiction—it’s the reality of machine learning (ML). In this blog post, we’ll break down the end-to-end ML process in business, guiding you through each stage with examples and insights that make it easy to grasp. Formatting the data in a way that ML algorithms can understand.

Machine Learning 195

Machine Learning Machine Learning ML ML 195

Dataversity

DECEMBER 3, 2024

There is no doubt that machine learning (ML) is transforming industries across the board, but its effectiveness depends on the data it’s trained on. The ML models traditionally rely on real-world datasets to power the recommendation algorithms, image analysis, chatbots, and other innovative applications that make it so transformative.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. An effective approach that addresses a wide range of observed issues is the establishment of an AI/ML center of excellence (CoE). What is an AI/ML CoE?

ML 136

ML ML AI AI 136

Towards AI

NOVEMBER 16, 2024

Keswani’s Algorithm introduces a novel approach to solving two-player non-convex min-max optimization problems, particularly in differentiable sequential games where the sequence of player actions is crucial. Keswani’s Algorithm: The algorithm essentially makes response function : maxy∈{R^m} f (.,

Algorithm 103

Algorithm ML ML AI 103

Data Science Dojo

SEPTEMBER 25, 2024

By leveraging AI-powered algorithms, media producers can improve production processes and enhance creativity. In this blog, we will explore the impact of AI on media production, analyzing how it benefits the people working within this industry and the audiences. The advantages of using AI in media production processes are multifaceted.

AI 448

AI AI Algorithm Artificial Intelligence 448

ML @ CMU

APRIL 9, 2025

In this blog post, we discuss how we designed and deployed Copilot Arena. In contrast, Copilot Arena users are working on a diverse set of realistic tasks, including but not limited to frontend components, backend logic, and ML pipelines. those in Figure 4) primarily evaluate models on Python algorithmic problems with short context.

Python 180

Python ML ML Algorithm 180

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Let’s learn about the services we will use to make this happen.

Data Warehouse 120

Data Warehouse Machine Learning Machine Learning Cloud Data 120

ML @ CMU

JUNE 1, 2025

This blog dives into the full training pipeline of the RLHF framework. By the end of this post, you should know the general pipeline to train any model with any instruction dataset using the RLHF algorithm of your choice! Training Algorithm: REBEL , a state-of-the-art algorithm tailored for efficient RLHF optimization.

Algorithm 154

Algorithm Python AI AI 154

Data Science Dojo

JULY 5, 2023

Machine Learning (ML) is a powerful tool that can be used to solve a wide variety of problems. Getting your ML model ready for action: This stage involves building and training a machine learning model using efficient machine learning algorithms. However, building and deploying a machine-learning model is not a simple task.

Machine Learning 195

Machine Learning Machine Learning EDA ML 195

Towards AI

JANUARY 19, 2025

ML algorithms like gradient descent struggle with this kind of feature because large-scale features often dominate the optimization process. Scaling makes sure that all features are treated equally by ML models, because that way we can enhance the models accuracy and convergence speed. It ultimately leads to skewed results.

Machine Learning 90

Machine Learning Machine Learning ML ML 90

ML @ CMU

APRIL 18, 2025

We show that such benchmarks do not provide an accurate measure of whether or not unlearning has occurred, making it difficult to evaluate whether new algorithms are truly making progress on the problem of unlearning. Note that we do not modify or attack the algorithms , only change the evaluation queries.

Algorithm 170

Algorithm Machine Learning Machine Learning 170

AWS Machine Learning Blog

FEBRUARY 12, 2024

The Ranking team at Booking.com plays a pivotal role in ensuring that the search and recommendation algorithms are optimized to deliver the best results for their users. Essential ML capabilities such as hyperparameter tuning and model explainability were lacking on premises.

ML 138

ML ML AWS Machine Learning 138

IBM Data Science in Practice

JANUARY 9, 2024

Many businesses are in different stages of their MAS AI/ML modernization journey. In this blog, we delve into 4 different “on-ramps” we created in a MAS Accelerator to offer a straightforward path to harnessing the power of AI in MAS, wherever you may be on your MAS AI/ML modernization journey.

ML 130

ML ML AI AI 130

AWS Machine Learning Blog

JANUARY 6, 2025

It usually comprises parsing log data into vectors or machine-understandable tokens, which you can then use to train custom machine learning (ML) algorithms for determining anomalies. You can adjust the inputs or hyperparameters for an ML algorithm to obtain a combination that yields the best-performing model.

Python 117

Python AWS ML ML 117

AWS Machine Learning Blog

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts.

AWS 108

AWS ML ML Machine Learning 108

Towards AI

NOVEMBER 8, 2024

We don’t have better algorithms; we just have more data. Edited Photo by Taylor Vick on Unsplash In ML engineering, data quality isn’t just critical — it’s foundational. Yet, this perspective often gets sidelined and there was never a consensus in the ML community about it. Because of how ML practitioners were initially trained.

ML 126

ML ML Data Quality Algorithm 126

AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Both models support a context window of 32,000 tokens, which is roughly 50 pages of text.

AWS 117

AWS ML ML Machine Learning 117

AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. ByteTrack is an algorithm for tracking multiple moving objects in videos, such as people walking through a store.

AWS 110

AWS Python Algorithm ML 110

Towards AI

JANUARY 24, 2025

Diabetes Prediction with ML This member-only story is on us. Using machine learning techniques/algorithms, we would try to predict whether a patient has diabetes or not. Well some dataset are… Read the full blog for free on Medium. Author(s): Rohan Rao Originally published on Towards AI. Upgrade to access all of Medium.

Machine Learning 105

Machine Learning Machine Learning Data Analysis Data Analysis 105

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. This visual, point-and-click interface democratizes ML so users can take advantage of the power of AI for various business applications. One of these methods is quantiles.

ML 103

ML ML Algorithm AWS 103

Data Science Dojo

FEBRUARY 20, 2023

In this blog, we’ll show you how to boost your MLOps efficiency with 6 essential tools and platforms. Machine learning (ML) is the technology that automates tasks and provides insights. Machine learning (ML) is the technology that automates tasks and provides insights. It also has ML algorithms built into the platform.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

databricks

APRIL 20, 2023

Background and Motives Deep Learning algorithms are complex and time consuming to train, but are quickly moving from the lab to production because.

Deep Learning 288

Deep Learning Deep Learning Algorithm ML 288

AWS Machine Learning Blog

OCTOBER 10, 2024

Amazon Lookout for Vision , the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025.

AWS 99

AWS Machine Learning Machine Learning ML 99

AWS Machine Learning Blog

MAY 16, 2025

In this post, we share how Amazon Web Services (AWS) is helping Scuderia Ferrari HP develop more accurate pit stop analysis techniques using machine learning (ML). Modernizing through partnership with AWS The partnership with AWS is helping Scuderia Ferrari HP modernize the challenging process of pit stop analysis, by using the cloud and ML.

AWS 83

AWS Machine Learning Machine Learning ML 83

Flipboard

DECEMBER 18, 2024

In this blog post, well dive into the various scenarios for how Cohere Rerank 3.5 improves search results for best matching 25 (BM25), a keyword-based algorithm that performs lexical search, in addition to semantic search. In this approach, the query and document encodings are generated with the same embedding algorithm.

K-nearest Neighbors 121

K-nearest Neighbors AWS ML ML 121

Data Science Dojo

JULY 23, 2024

With the growing use of machine learning (ML) models to handle, store, and manage data, the efficiency and impact of enterprises have also increased. Categorical data is one such form of information that is handled by ML models using different methods. In this blog, we will explore the basics of categorical data.

Machine Learning 195

Machine Learning Machine Learning Algorithm ML 195

Towards AI

SEPTEMBER 3, 2024

Let’s discuss two popular ML algorithms, KNNs and K-Means. They are both ML Algorithms, and we’ll explore them more in detail in a bit. They are both ML Algorithms, and we’ll explore them more in detail in a bit. K-Nearest Neighbors (KNN) is a supervised ML algorithm for classification and regression.

K-nearest Neighbors 111

K-nearest Neighbors Clustering ML ML 111

AWS Machine Learning Blog

NOVEMBER 18, 2024

It supports exact and approximate nearest-neighbor algorithms and multiple storage and matching engines. It makes it simple for you to build modern machine learning (ML) augmented search experiences, generative AI applications, and analytics workloads without having to manage the underlying infrastructure.

K-nearest Neighbors 119

K-nearest Neighbors AWS ML ML 119

Data Science Dojo

JUNE 16, 2023

OpenAI is a research company that specializes in artificial intelligence (AI) and machine learning (ML) technologies. OpenAI offers a range of AI and ML tools that can be integrated into mobile app development, making it easier for developers to create intelligent and responsive apps. How OpenAI works in mobile app development?

Predictive Analytics 195

Predictive Analytics Natural Language Processing Machine Learning Machine Learning 195

Data Science Dojo

APRIL 25, 2025

In this blog, we will break down what agentic AI is, how it works, where its being used, and what it means for the future. By basing decisions on data and algorithms rather than gut feelings, businesses can reduce the influence of bias in critical systems. You will need to implement algorithms that let it choose actions on its own.

AI 342

AI AI Supervised Learning Algorithm 342

Flipboard

MAY 30, 2025

The quality assurance process includes automated testing methods combining ML-, algorithm-, or LLM-based evaluations. In addition, the process employs traditional ML procedures such as named entity recognition (NER) or estimation of final confidence with regression models. The team extensively used fine-tuned SLMs.

AI 157

AI AI AWS ML 157

AWS Machine Learning Blog

MAY 8, 2024

They focused on improving customer service using data with artificial intelligence (AI) and ML and saw positive results, with their Group AI Maturity increasing from 50% to 80%, according to the TM Forum’s AI Maturity Index. Concurrently, the ensemble model strategically combines the strengths of various algorithms.

ML 130

ML ML AWS AI 130