ODSC - Open Data Science

APRIL 6, 2023

7 Techniques To Maximize Productivity with ChatGPT In this article, we will explore 7 techniques for using ChatGPT to boost productivity, from setting goals and managing time to brainstorming and language learning. Check out a few of them here.

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Flipboard

MARCH 13, 2023

This post is co-written with Mahima Agarwal, Machine Learning Engineer, and Deepak Mettem, Senior Engineering Manager, at VMware Carbon Black VMware Carbon Black is a renowned security solution offering protection against the full spectrum of modern cyberattacks.

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AWS Machine Learning Blog

AUGUST 4, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. In this post, we expand on this topic to demonstrate how to use Einstein Studio for product recommendations. Search for App Manager and create a new connected app. Provide the following inputs: For Connected App Name , enter a name.

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O'Reilly Media

SEPTEMBER 15, 2021

Would your job still be there in a year? At the same time, employees were reluctant to look for new jobs, especially if they would require relocating—at least according to the rumor mill. 22% of respondents said they intended to change jobs, roughly what we would have expected. We don’t see evidence of a “great resignation.”

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Iguazio

DECEMBER 14, 2023

After reading the book, ML practitioners and leaders will know how to deploy their ML models to production and scale their AI initiatives, while overcoming the challenges many other businesses are facing. In this book, the authors advocate for a production-first mindset. The book is poised to address these exact challenges.

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IBM Journey to AI blog

NOVEMBER 30, 2023

Beyond simply filling open roles, a comprehensive talent acquisition strategy encompasses a holistic approach to talent management , from identifying organizational needs to nurturing relationships with potential candidates. Determine short- and long-term talent needs: Distinguish between immediate hiring needs and future requirements.

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ODSC - Open Data Science

MAY 1, 2023

Be sure to join us there to learn new job-ready skills and learn about cutting-edge developments in data science and AI. Topics covered include the building blocks of the workflows and best practices for inducing decision-makers to act. ODSC East is less than a week away ! Check out a few of our upcoming sessions below.

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Pickl AI

JULY 25, 2023

The spreadsheet application by Microsoft is one of the most basic applications required for any data entry job. The latest variety of the software is the MS Excel which includes a large variety of tools that can help you in conducting database jobs in the easiest manner.

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Women in Big Data

MARCH 8, 2023

Victoria Riess, MBA has a track record as a women leader in tech and over twelve years of leadership experience in general management, digital strategy consulting and corporate strategy on digital transformation. Technology jobs will rise 13% from 2020 to 2030, which outpaces the average for all occupations.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

K-Means tries to group points together into clusters such that each cluster is relatively compact and the clusters are as distant from each other as possible. First, we can compare the number of dimensions needed to explain 95% of the variation in the embedding data, the inertia, and the silhouette score from the clustering job.

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Pickl AI

APRIL 26, 2024

It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Additionally, it delves into case study questions, advanced technical topics, and scenario-based queries, highlighting the skills and knowledge required for success in data analytics roles.

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Tableau

JUNE 11, 2022

Focusing on building internal communities that invite more employees into the data conversation has the added benefit of being cost effective and less reliant on one person or team to manage training responsibilities for an entire organization. . The big picture: The gap in data literacy. How to help solve the data skills gap.

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Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. He also said that data scientists should not worry about optimizing themselves out of a job.

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Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. He also said that data scientists should not worry about optimizing themselves out of a job.

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Tableau

JUNE 11, 2022

Focusing on building internal communities that invite more employees into the data conversation has the added benefit of being cost effective and less reliant on one person or team to manage training responsibilities for an entire organization. . The big picture: The gap in data literacy. How to help solve the data skills gap.

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AWS Machine Learning Blog

DECEMBER 29, 2022

Still, challenges remain for teams of all sizes to quickly, and with little effort, demonstrate the value of ML-based anomaly detection in order to persuade management and finance owners to allocate the budget required to implement these new technologies. Enter an MQTT topic, such as factory/line/station/simulated_testing. Choose Save.

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Women in Big Data

FEBRUARY 27, 2023

Because I couldn’t afford my Mastercard bill, I started looking for another job. I ended up at Texas Instrument in the Merchandising department of the Consumer Products department. Maria Villar was the IT IBM executive and in 2008, we wrote a book together on how to manage your business data. I lasted 3 months.

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Smart Data Collective

MAY 1, 2022

Its use can be seen firsthand in products like Siri, Alexa, and Google voice search that respond to user requests quickly. For manual text analysis, you would need a group of staff working around the clock. You will get to know about the problems your customers are facing with a product or a service instantly.

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Dataconomy

MAY 2, 2023

The machine learning systems developed by Machine Learning Engineers are crucial components used across various big data jobs in the data processing pipeline. Is ML engineering a stressful job? Conversely, IT Project Management & Business Analytics professionals were the least stressed among IT workers. percentage points.

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Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. Certainly, you need to ensure that while you target a specific job role in different companies, you have the skills and expertise as well.

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AWS Machine Learning Blog

AUGUST 14, 2023

He is the son of Antoine Riboud, the previous CEO, who transformed the former European glassmaker BSN Group into a leading player in the food industry. Question answering Context: NLP Cloud was founded in 2021 when the team realized there was no easy way to reliably leverage Natural Language Processing in production.

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Tableau

JUNE 11, 2022

Focusing on building internal communities that invite more employees into the data conversation has the added benefit of being cost effective and less reliant on one person or team to manage training responsibilities for an entire organization. . The big picture: The gap in data literacy. How to help solve the data skills gap.

Tableau 52

Tableau Analytics Analytics Data Visualization 52

The MLOps Blog

JANUARY 11, 2023

The result of this assessment process led to conceptualizing and designing a framework that offers an environment for building, managing, and automating processes or workflows with which the data, models, and code Ops based on the needs of individuals and across teams can be realized.

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PyImageSearch

JANUARY 30, 2023

The global market for AI-based educational products is growing quickly and is estimated to reach about $10 billion by 2026 at a compound annual rate of 45.1%. School and Institution Management School leaders must ensure that their institutions continue to operate and provide their services even in unexpected circumstances.

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DagsHub

FEBRUARY 29, 2024

Improved data preparation techniques focused on efficient data labeling, management, augmentation and curation while keeping the model relatively fixed in its architecture has led to significantly better model outcomes. For such use cases, automated data preparation becomes crucial to develop models quickly.

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Mlearning.ai

JUNE 27, 2023

Machine learning solutions are used for business promotion for companies from various industries giving companies insights into customer behavior trends and enabling them to build efficient and accurate business models, as well as enhance new product development. We’ll talk about machine learning in digital marketing in more detail below.

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AWS Machine Learning Blog

FEBRUARY 8, 2024

Moreover, they can orchestrate complex, multi-step workflows by breaking down tasks into smaller, manageable steps, coordinating various actions, and ensuring the efficient execution of processes within an organization. With Amazon Bedrock, you can build and scale generative AI applications with security, privacy, and responsible AI.

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Alation

MAY 10, 2022

It’s also my job to put our culture into practice and to ensure that we create an environment where we support our customers and our people. Alation employees complete anonymous surveys on topics like trust, management effectiveness, benefits, confidence in the company’s future, and how we foster employee growth.

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Data Governance Business Intelligence Business Intelligence 52

Alation

FEBRUARY 13, 2020

What I’ve seen as GoDaddy has evolved over the nine years that I’ve been there is that we used to just put out products. You’re really involved in the engagement, and the more you’re involved in the engagement and helping them, the more the product will stick. These data sources are packaged, managed and curated.

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Tableau Business Intelligence Business Intelligence Big Data 52

AWS Machine Learning Blog

MAY 4, 2023

Amazon Forecast is an ML-based time series forecasting service that includes algorithms that are based on over 20 years of forecasting experience used by Amazon.com , bringing the same technology used at Amazon to developers as a fully managed service, removing the need to manage resources.

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Flipboard

MARCH 14, 2023

An image autogenerated by Midjourney , a text-to-image tool, when given the prompt “people performing office tasks with AI, collage art.” | Midjourney How Ethan and Lilach Mollick learned to stop worrying and start automating their jobs. He covers topics such as effective altruism, philanthropy, global health, and social justice.” (So

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Data Science 101

JANUARY 19, 2021

Get in an and get on the show, but we’re not going to do that today, so we’re just going to dive right into the topic this week about goal setting and how to do better. Now I’ve been coaching and leading groups and helping people define, plan and achieve their goals for years. Goal setting and productivity.

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Data Science 98

AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready IDP solution in the cloud requires a series of trade-offs between cost, availability, processing speed, and sustainability. Include all sources of impact, including the impact of customer use of your products. Continuously monitor and evaluate new, more efficient hardware and software offerings.

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AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. The model is deployed to a SageMaker endpoint, where it handles fraud detection requests on live transactions.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. When you’re ready for production, always monitor and analyze the spending. In the project development phase, we recommend adopting a consumption model and adjusting usage dynamically.

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Mlearning.ai

MAY 16, 2023

Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. Pub/Sub Design Pattern For example, let’s say a company has an online store that sells various products and wants to track customer behavior in real time.

Data Engineering 52

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O'Reilly Media

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. However, the concept is quite abstract.

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