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Improve Your Agile Retrospectives by Learning From Science!

Agile Alliance

The post Improve Your Agile Retrospectives by Learning From Science! We furthermore hope that at your next retrospective you look back to your earlier decisions in order to … Continued. first appeared on Agile Alliance.

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How to Learn Data Science: 9 Easy Ways

Coding Dojo

Have you been thinking about pursuing a career in data science? However, when you’re involved in a structured program that aims to teach you everything you need to know … How to Learn Data Science: 9 Easy Ways Read More » The post How to Learn Data Science: 9 Easy Ways appeared first on Coding Dojo Blog.

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12 data science certifications that will pay off

CIO

Data science certifications give you an opportunity to not only develop skills that are hard to find in your desired industry, but also validate your data science know-how so recruiters and hiring managers know what they get if they hire you. Check out our list of top big data and data analytics certifications.)

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Top 10 AI graduate degree programs

CIO

The field requires broad training involving principles of computer science, cognitive psychology, and engineering. CALD drew from the Statistics Department and departments within the School of Computer Science, as well as faculty from philosophy, engineering, the business school, and biological science.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations.

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How to Learn Python for Data Science (7 Ways)

Coding Dojo

Are you thinking about a career in data science ? The post How to Learn Python for Data Science (7 Ways) appeared first on Coding Dojo. Python is a great choice! In this article, we’ll tell … Read more >>.

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Machine Learning in Drug Discovery, Translational Science, and Clinical Research

Dataiku

Moreover, let’s all admit to ourselves that, when we say “AI,” we broadly include machine learning (ML), data science, and really any efforts that advance digitization. Despite years of hype, AI is still in its infancy in the pharmaceutical industry (feel free to reach out to me for a lively debate if you disagree).

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations.

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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability.

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.

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How to Achieve Product-Market Fit

Speaker: Dan Olsen - Product Management Trainer and Consultant, Author, and Speaker

Come learn how to turn product management into more of a science than an art to improve your odds of success. December 7, 2023 at 11:00 am PT, 2:00 pm ET, 7:00 pm GMT Use Product Management Today’s webinars to earn professional development hours!

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Improve Onboarding with User-Centered Design

Speaker: Dr. Kate Wolin, Founder, Circea

Kate Wolin, founder of Circea, for an overview of behavioral science and the evidence-based strategies that can be used to support patient engagement. In this webinar, you will learn: A model of health behavior change that can be applied to solution development.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order.

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The Beauty and Brains of Actionable Data: How to Go From Concept to Reality

Speaker: Dr. Joe Perez, Chief Technology Officer at SolonTek and Senior Systems Analyst at NC Dept. of Health & Human Services

Join Dr. Joe Perez Chief Technology Officer, SolonTek, and Senior Systems Analyst at NC DHHS, to learn how you as a CTO can capitalize on your ideas by blending internal with external while leveraging them into a cohesive strategy for both the short term and the long term. What value do you see in your data?