Data Science Dojo

FEBRUARY 13, 2025

If you want to stay ahead of the curve, networking with top AI minds, exploring cutting-edge innovations, and attending AI conferences is a must. According to Statista, the AI industry is expected to grow at an annual rate of 27.67% , reaching a market size of US$826.70bn by 2030. Lets dive in!

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AI Big Data Big Data AI 294

KDnuggets

AUGUST 15, 2024

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

Machine Learning 370

Machine Learning Machine Learning ML ML 370

Analytics Vidhya

MAY 17, 2024

Introduction Machine learning (ML) is rapidly transforming various industries. Companies leverage machine learning to analyze data, predict trends, and make informed decisions. Learning ML has become crucial for anyone interested in a data career. From healthcare to finance, its impact is profound.

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Machine Learning Machine Learning ML ML 334

Analytics Vidhya

APRIL 5, 2024

Known for its beginner-friendliness, you can dive into AI without complex code. A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This flexible language has you covered for all things AI and beyond. Python’s superpower?

Data Science 369

Data Science ML ML Python 369

Analytics Vidhya

MARCH 25, 2025

Ray has emerged as a powerful framework for distributed computing in AI and ML workloads, enabling researchers and practitioners to scale their applications from laptops to clusters with minimal code changes.

Machine Learning 173

Machine Learning Machine Learning Clustering ML 173

insideBIGDATA

MARCH 18, 2024

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

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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. This reiterates the increasing role of AI in modern businesses and consequently the need for ML models.

Machine Learning 322

Machine Learning Machine Learning ML ML 322

insideBIGDATA

DECEMBER 30, 2023

Scientists at the Department of Energy’s Pacific Northwest National Laboratory have put forth a new way to evaluate an AI system’s recommendations. They bring human experts into the loop to view how the ML performed on a set of data.

Machine Learning 511

Machine Learning Machine Learning ML ML 511

AWS Machine Learning Blog

DECEMBER 4, 2024

Organizations of every size and across every industry are looking to use generative AI to fundamentally transform the business landscape with reimagined customer experiences, increased employee productivity, new levels of creativity, and optimized business processes.

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Flipboard

JUNE 3, 2025

Introduction – Breaking the cloud barrier Cloud computing has been the dominant paradigm of machine learning for years. We live in… Read More »Decentralized ML: Developing federated AI without a central cloud But, what if there is not ‘only one way’?

ML 102

ML ML Cloud Computing Machine Learning 102

Flipboard

JUNE 6, 2025

The world’s leading publication for data science, AI, and ML professionals. Himanshu Sharma Jun 6, 2025 4 min read Share Image by Mahdis Mousavi via Unsplash Machine Learning is magical — until you’re stuck trying to decide which model to use for your dataset. You don’t need deep ML knowledge or tuning skills.

Machine Learning 88

Machine Learning Machine Learning Python Data Science 88

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. Choose Predict.

Data Warehouse 117

Data Warehouse Machine Learning Machine Learning Cloud Data 117

databricks

AUGUST 14, 2024

We are excited to announce that Graviton , the ARM-based CPU instance offered by AWS, is now supported on the Databricks ML Runtime.

Machine Learning 331

Machine Learning Machine Learning AWS ML 331

Flipboard

MAY 28, 2025

Machine learning (ML) has emerged as a powerful tool to help nonprofits expedite manual processes, quickly unlock insights from data, and accelerate mission outcomesfrom personalizing marketing materials for donors to predicting member churn and donation patterns.

Machine Learning 104

Machine Learning Machine Learning ML ML 104

AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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Flipboard

MARCH 16, 2025

GUEST: AI has evolved at an astonishing pace. Back in 2017, my firm launched an AI Center of Excellence. AI was certainly getting better at predictive analytics and many machine learning (ML) algorithms were being used for voice recognition, spam detection, spell ch… Read More

Predictive Analytics 176

Predictive Analytics Machine Learning Machine Learning ML 176

insideBIGDATA

APRIL 2, 2025

benchmark suite, which delivers machine learning (ML) system performance benchmarking. The rorganization said the esults highlight that the AI community is focusing on generative AI. Today, MLCommons announced new results for its MLPerf Inference v5.0

Machine Learning 406

Machine Learning Machine Learning ML ML 406

Dataconomy

APRIL 8, 2025

The ML stack is an essential framework for any data scientist or machine learning engineer. Understanding the components and benefits of an ML stack can empower professionals to harness the true potential of machine learning technologies. What is an ML stack?

ML 91

ML ML Machine Learning Machine Learning 91

Dataconomy

MAY 9, 2025

Machine learning as a service (MLaaS) is reshaping the landscape of artificial intelligence by providing organizations with the ability to implement machine learning capabilities seamlessly. What is machine learning as a service (MLaaS)?

Machine Learning 91

Machine Learning Machine Learning Natural Language Processing Data Analysis 91

Analytics Vidhya

AUGUST 7, 2024

Introduction As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML).

Artificial Intelligence 349

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 349

insideBIGDATA

MAY 23, 2023

is a company that provides artificial intelligence (AI) and machine learning (ML) platforms and solutions. The company was founded in 2014 by a group of engineers and scientists who were passionate about making AI more accessible to everyone.

Artificial Intelligence 442

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 442

AWS Machine Learning Blog

NOVEMBER 19, 2024

In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer —a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). The night before the finals, we learned that we had qualified because of a dropout.

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Towards AI

NOVEMBER 4, 2024

Author(s): Sanjay Nandakumar Originally published on Towards AI. While traditional opinion polls provide a pretty good snapshot, machine learning certainly goes deeper with its data-driven perspective on things. One fact is that machine learning has begun changing data-driven political analysis.

Machine Learning 118

Machine Learning Machine Learning Exploratory Data Analysis EDA 118

Analytics Vidhya

MAY 17, 2024

Introduction Do you know, that you can automate machine learning (ML) deployments and workflow? This can be done using Machine Learning Operations (MLOps), which are a set of rules and practices that simplify and automate ML deployments and workflows. Yes, you heard it right.

Machine Learning 343

Machine Learning Machine Learning ML ML 343

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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Flipboard

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. The data mesh architecture aims to increase the return on investments in data teams, processes, and technology, ultimately driving business value through innovative analytics and ML projects across the enterprise.

Data Governance 132

Data Governance ML ML Data Lakes 132

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). Pit crews are trained to operate at optimum efficiency, although measuring their performance has been challenging, until now.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

With the current demand for AI and machine learning (AI/ML) solutions, the processes to train and deploy models and scale inference are crucial to business success. Even though AI/ML and especially generative AI progress is rapid, machine learning operations (MLOps) tooling is continuously evolving to keep pace.

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AWS ML ML Data Scientist 122

Analytics Vidhya

JUNE 14, 2024

Introduction Efficient ML models and frameworks for building or even deploying are the need of the hour after the advent of Machine Learning (ML) and Artificial Intelligence (AI) in various sectors. Although there are several frameworks, PyTorch and TensorFlow emerge as the most famous and commonly used ones.

Deep Learning 329

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Data Science Dojo

OCTOBER 31, 2024

According to Google AI, they work on projects that may not have immediate commercial applications but push the boundaries of AI research. Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

AWS Machine Learning Blog

NOVEMBER 14, 2024

By setting up automated policy enforcement and checks, you can achieve cost optimization across your machine learning (ML) environment. The following table provides examples of a tagging dictionary used for tagging ML resources. This framework considers multiple personas and services to govern the ML lifecycle at scale.

ML 112

ML ML AWS Machine Learning 112

Towards AI

DECEMBER 15, 2024

Last Updated on December 15, 2024 by Editorial Team Author(s): Raghu Teja Manchala Originally published on Towards AI. When it comes to machine learning regression models, interviewers typically focus on five key performance metrics, which are the ones mostly used by Data Scientists in real time. Published via Towards AI

ML 115

ML ML Data Scientist Machine Learning 115

AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. SageMaker Processing provisions cluster resources for you to run city-, country-, or continent-scale geospatial ML workloads.

ML 123

ML ML Clustering Machine Learning 123

AWS Machine Learning Blog

NOVEMBER 26, 2024

This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. In this post, we share how Rad AI reduced real-time inference latency by 50% using Amazon SageMaker.

ML 115

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Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Generative AI is reshaping businesses and unlocking new opportunities across various industries.

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AWS Machine Learning Blog

APRIL 4, 2025

They use real-time data and machine learning (ML) to offer customized loans that fuel sustainable growth and solve the challenges of accessing capital. These classified transactions then serve as critical inputs for downstream credit risk AI models, enabling more accurate assessments of a businesss creditworthiness.

AI 114

AI AI Machine Learning Machine Learning 114

AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production.

ML 102

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