Mon.Sep 05, 2022

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Hyperparameter Optimization Using OptFormer

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Researchers of Google Ai recently introduced […]. The post Hyperparameter Optimization Using OptFormer appeared first on Analytics Vidhya.

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SQL vs NoSQL: 7 Key Takeaways

KDnuggets

People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

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Cyber Security: Difference in the Workings of SSH and Telnet

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss the differences between Telnet and SSH. Compare Telnet and SSH in Terms of Security and User interface. We will also discuss how encryption takes place in SSH, why we use the Telnet Protocol Today, and much […]. The post Cyber Security: Difference in the Workings of SSH and Telnet appeared first on Analytics Vidhya.

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Roles of Python Developer in Data Science Teams

Smart Data Collective

Data science is a very complex field that requires the insights of professionals from many different disciplines. One of the fields of professionals that are so important for data science projects are Python developers. What is the Python programming language? Why is it so important in the data science profession ? What Is Python? Python is a powerful programming language that is widely used in many different industries today.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Stable Diffusion AI has Taken the World By Storm

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. See that image above? Amazing, isn’t it? Looks like an oil painting in melancholic postcard style, right? You bet! I used AI and some of the same words from the previous sentence to create it in a few minutes. And we will see […]. The post Stable Diffusion AI has Taken the World By Storm appeared first on Analytics Vidhya.

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Free Python for Data Science Course

KDnuggets

Ready to learn how to use Python for data science? This free course has got you covered!

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Unpacking Murray & Roberts’ turbulent journey to the cloud and back again

CIO Business Intelligence

It was only a few years ago when ‘digital transformation’ was on every CIO’s agenda, and businesses started to understand how cloud could deliver real value. They stopped asking whether they should move to the cloud and started asking what they needed to do to get there. This was the case for Murray & Roberts’ CIO Hilton Currie in 2016, when the cloud services market in South Africa was booming.

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What’s New On KDnuggets?

KDnuggets

KDnuggets has been up to some things over the past several months. Check in quick to make sure you haven't missed anything.

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You Asked. We Listened.

Dataiku

How often is it that you leave a suggestion for how to improve a product you love and the suggestion actually gets implemented? The answer is probably very rarely, if ever. You might even think to yourself, “I wonder if anyone will even read this comment or if this form is simply to make it look like the company listens to customer feedback?” Sigh.

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Data Modeling 401 for the cloud: Database design for serverless data-bases in the cloud

erwin

This blog is based upon a recent webcast that can be watched here. As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Yes, it offers essentially infinitely scalable resources. But you must pay for using them. When you make poor database design choices for applications deployed to the public cloud, then your company gets to pay every month for all those inherent, built-in inefficiencies.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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7 Tips for Python Beginners

KDnuggets

Learn useful tips to start your career as a Python developer.

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Why Game Studios Should Exploit Visual Analytics | BizAcuity

BizAcuity

Introduction. It is no surprise that there are way more game developers in the iGaming industry than there are operators. As a result, the selling process for Game Studios is more complex now than ever. The growing popularity of online gaming, and the subsequent demand for engaging content are promising but not making it any easier for the Game Studios.

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Driving Innovation With AI

BI-Survey

Artificial intelligence (AI), machine learning (ML) and data science are among a large group of buzzwords associated with major breakthroughs in the way business is done and better outcomes are achieved. In this BARC study, we examined the mechanisms behind those success stories and the methods that come into play to achieve them. In short, we focused on the concepts of DataOps and MLOps and their impact on the application of ML.

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Make Analytics Easy with NLP Search Capability!

Smarten

INLP Search Capability Assures User Adoption of Augmented Analytics! Gartner predicts that, ‘50% of analytical queries will be generated via search, NLP or voice, or will be automatically generated.’ If your business is considering democratizing data and rolling out analytical capabilities to team members within the organization, you will want to plan for an augmented analytics solution that is designed for, and can be used by, all team members – even those with limited technology skills.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.