O'Reilly Media

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. It isn’t surprising that employees see training as a route to promotion—especially as companies that want to hire in fields like data science, machine learning, and AI contend with a shortage of qualified employees.

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IBM Data Science in Practice

MARCH 8, 2023

The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem.

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Data Science Dojo

SEPTEMBER 10, 2024

LLM companies are businesses that specialize in developing and deploying Large Language Models (LLMs) and advanced machine learning (ML) models. Anthropic Anthropic , an AI startup co-founded by former executives from OpenAI, has quickly established itself as a significant force in the LLM market since its launch in 2021.

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AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

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ODSC - Open Data Science

FEBRUARY 28, 2023

These organizations are shaping the future of the AI and data science industries with their innovative products and services. To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Check them out below.

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ODSC - Open Data Science

MARCH 12, 2025

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. By 2021, GPT-3 had demonstrated unprecedented capabilities in text generation, leading to widespread adoption.

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Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In ML, there are a variety of algorithms that can help solve problems. 12, 2021. [6] 16, 2020. [4] Russell and P.

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Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

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Google Research AI blog

MARCH 30, 2023

Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen Paritosh, Senior Research Scientist, Google Research, Brain Team Machine learning (ML) offers tremendous potential, from diagnosing cancer to engineering safe self-driving cars to amplifying human productivity. Each step can introduce issues and biases.

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The MLOps Blog

DECEMBER 28, 2022

The onset of the pandemic has triggered a rapid increase in the demand and adoption of ML technology. Building ML team Following the surge in ML use cases that have the potential to transform business, the leaders are making a significant investment in ML collaboration, building teams that can deliver the promise of machine learning.

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Tableau

MAY 27, 2021

May 27, 2021 - 2:29pm. May 27, 2021. Holt Calder, Data Architect, InterWorks. At this critical inflection point, they need guidance on how to improve and strengthen AI and machine learning (ML). Formulate machine learning (ML) problem. Explore data . Kristin Adderson. Madeleine Corneli, Sr.

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Dataversity

JANUARY 15, 2021

Data scientists are playing a critical role, advising decision-makers as […]. The post Four Technology Trends That Will Shape Data Analytics in 2021 appeared first on DATAVERSITY.

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ODSC - Open Data Science

MARCH 22, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Mathematics for Data Science Data science uses a combination of mathematics, statistics, and computer science to help us solve questions of importance in a large number of fields.

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NYU Center for Data Science

MARCH 15, 2023

The NYU AI School grew from a 3-day workshop that took place in October 2019, with the first week-long event launched in February 2021. The program is organized by students from NYU Data Science, Courant Institute, and other departments. Unlike many other events, no programming experience is required to attend.

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Tableau

JUNE 22, 2021

June 22, 2021 - 11:14pm. June 22, 2021. With the acceleration of digital transformation in business, most CTOs, CIOs, and even middle management or analysts are now asking, "What's next with data?" People with domain knowledge and proximity to the business data could benefit greatly, if they had access to these techniques. .

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The ZMP analyzes billions of structured and unstructured data points to predict consumer intent by using sophisticated artificial intelligence (AI) to personalize experiences at scale. As an early adopter of large language model (LLM) technology, Zeta released Email Subject Line Generation in 2021.

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ODSC - Open Data Science

FEBRUARY 24, 2023

Its goal is to help with a quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Apache Superset GitHub | Website Apache Superset is a must-try project for any ML engineer, data scientist, or data analyst. You can watch it on demand here.

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AWS Machine Learning Blog

SEPTEMBER 12, 2023

The machine learning (ML) model classifies new incoming customer requests as soon as they arrive and redirects them to predefined queues, which allows our dedicated client success agents to focus on the contents of the emails according to their skills and provide appropriate responses.

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Pickl AI

NOVEMBER 5, 2024

Summary: Data Science and AI are transforming the future by enabling smarter decision-making, automating processes, and uncovering valuable insights from vast datasets. Introduction Data Science and Artificial Intelligence (AI) are at the forefront of technological innovation, fundamentally transforming industries and everyday life.

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The MLOps Blog

JANUARY 26, 2024

TL;DR Feedback integration is crucial for ML models to meet user needs. A robust ML infrastructure gives teams a competitive advantage. I started my ML journey as an analyst back in 2016. Mailchimp’s ML Platform: genesis, challenges, and objectives Mailchimp is a 20-year-old bootstrapped email marketing company.

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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. The key to scaling the use of ML is making it more accessible.

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DataRobot Blog

SEPTEMBER 1, 2022

IDC 2 predicts that by 2024, 60% of enterprises would have operationalized their ML workflows by using MLOps. The same is true for your ML workflows – you need the ability to navigate change and make strong business decisions. These and many other questions are now on top of the agenda of every data science team.

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AWS Machine Learning Blog

DECEMBER 4, 2023

We capitalized on the powerful tools provided by AWS to tackle this challenge and effectively navigate the complex field of machine learning (ML) and predictive analytics. SageMaker is a fully managed ML service. Overview of solution Five people from Getir’s data science team and infrastructure team worked together on this project.

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Flipboard

APRIL 17, 2025

The AI Model Serving team supports a wide range of models for both traditional machine learning (ML) and generative AI including LLMs, multi-modal foundation models (FMs), speech recognition, and computer vision-based models. He has over 7 years of experience in software and ML engineering with a focus on scalable NLP and speech solutions.

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Towards AI

AUGUST 16, 2023

Pietro Jeng on Unsplash MLOps is a set of methods and techniques to deploy and maintain machine learning (ML) models in production reliably and efficiently. Thus, MLOps is the intersection of Machine Learning, DevOps, and Data Engineering (Figure 1). Projects: a standard format for packaging reusable ML code.

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ODSC - Open Data Science

FEBRUARY 20, 2023

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. His research interests bridge the computational, statistical, cognitive, biological, and social sciences. Recently, we spoke with Michael I.

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Tableau

JUNE 17, 2021

June 17, 2021 - 10:18pm. June 29, 2021. When it comes to asking questions of their data, how comfortable are most people in your organization? To help transform the way people work with data, we’re putting AI-powered analytics into the flow of business so everyone can make better decisions, faster. Business Science.

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Tableau

FEBRUARY 22, 2021

February 23, 2021 - 3:55am. March 23, 2021. release, we’re delivering the first integration of Salesforce’s artificial intelligence (AI) and machine learning (ML) capabilities in Tableau. This introduces an exciting new class of AI-powered analytics: Tableau Business Science. With the upcoming Tableau 2021.1

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Towards AI

AUGUST 16, 2023

Michael Dziedzic on Unsplash I am often asked by prospective clients to explain the artificial intelligence (AI) software process, and I have recently been asked by managers with extensive software development and data science experience who wanted to implement MLOps. Join thousands of data leaders on the AI newsletter.

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Data Science Dojo

MARCH 15, 2024

Its robots are powered by a technology called the Covariant Brain, a machine-learning (ML) model to train and improve robots’ functionality in real-world applications. The limited amount of available data poses a great challenge, slowing down the pace of progress.

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Tableau

OCTOBER 14, 2021

October 15, 2021 - 3:47am. November 22, 2021. In case you missed it, read the first post to learn how governance and data management enable your digital business. In our age of digital transformation, we are witnessing the transformational power of data to inform business decisions and drive change in real time.

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DataRobot

MAY 11, 2021

It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels. At DataRobot, we have always known that data science is a team sport. And Even More to Come in 2021. The Perfect Complement.

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Dataversity

MAY 14, 2021

By combining machine learning (ML) analytics with the rich and extensive data gathered by IIoT sensors across the plant, predictive monitoring systems can pick […]. The post Why 2021 Will See More Predictive Monitoring in Process Manufacturing Plants appeared first on DATAVERSITY.

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Tableau

OCTOBER 14, 2021

October 15, 2021 - 3:47am. November 22, 2021. In case you missed it, read the first post to learn how governance and data management enable your digital business. In our age of digital transformation, we are witnessing the transformational power of data to inform business decisions and drive change in real time.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Initially, daily forecasts for each country are formulated through ML models. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager.

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DataRobot Blog

FEBRUARY 21, 2022

Seventy-six percent of companies prioritize AI and machine learning (ML) over other IT initiatives, according to Algorithmia’s 2021 enterprise trends in machine learning report. With growing pressure on data scientists, every organization needs to ensure that their teams are empowered with the right tools.

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AWS Machine Learning Blog

APRIL 9, 2024

We ask “What was the Amazon’s revenue in 2019 and 2021?” For this example, the query is “What was the Amazon’s revenue in 2019 and 2021?” He is passionate about developing state-of-the-art AI/ML-powered solutions to solve complex business problems for diverse industries, optimizing efficiency and scalability.

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