Tue.Jan 04, 2022

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All You Need to Know about Recommendation Systems

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. This article will support data scientists in furthering their studies on recommendation systems so that they can develop applications for professional use. We introduce the content-based filtering, for the recommendation system, using this filtering, we learn here how to use this system and […].

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Why are More Developers Using Python for Their Machine Learning Projects?

KDnuggets

To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in.

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Diabetes Prediction Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be predicting that whether the patient has diabetes or not on the basis of the features we will provide to our machine learning model, and for that, we will be using the famous Pima Indians Diabetes Database. Image […]. The post Diabetes Prediction Using Machine Learning appeared first on Analytics Vidhya.

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Narrating Data Stories: Set context, explain charts, highlight insights, and guide your audience

Juice Analytics

You are the narrator of your data story. With great power comes great responsibility. You’ll need to do the following things: Set the Context. Explain what the data story is about and why your audience should care. Describe the Charts What measures and dimensions are being shown? How should the chart be interpreted? Guide the Flow. What should the reader look at next?

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Knowledge Distillation: Theory and End to End Case Study

Analytics Vidhya

This article was published as a part of the Data Science Blogathon This article contains Knowledge Distillation Theory and Code Walk-Through for its implementation on a business problem to classify x-ray images for pneumonia detection. Image Source: Alpha Coders What is Knowledge Distillation? Knowledge Distillation aims to transfer knowledge from a large deep learning model to a small […].

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Learn Deep Learning by Building 15 Neural Network Projects in 2022

KDnuggets

Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.

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Data Scientists, You’re Invited: Make 2022 a Year of Continuous Improvement

KDnuggets

Join renowned surgeon and author, Atul Gawande, and J&J’s Chief Data Science Officer, Najat Khan, for a special event on driving exceptional performance.

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The Book Look: Data Literacy

TDAN

With everyone talking about becoming more data literate, it’s a wonder that there are no books on data literacy – until now. Data Literacy by Peter Aiken and Todd Harbour is a very comprehensive study of and guidebook to data literacy, covering the levels of data literacy and providing a framework to increase data literacy […].

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Top Retail Predictions for 2022

Teradata

From supply chain to inflation, our top retail industry consultants weigh in on what the retail & CPG industry will experience in 2022 and beyond.

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Data Governance is a Team Sport

TDAN

As companies realize the importance of data as a driver to their long-term viability, data governance is a topic that is being increasingly discussed in corporate board rooms. In the past, data was described as the oil for the digital economy, but now, businesses are now waking up to the fact data can have both positive and […].

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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.

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The Most Important Business KPIs. (Spoiler: Not Conversion Rate!)

Occam's Razor

I was reading a paper by a respected industry body that started by flagging head fake KPIs. I love that moniker, head fake. Likes. Sentiment/Comments. Shares. Yada, yada, yada. This is great. We can all use head fake metrics to calling out useless activity metrics. [ I would add other head fake KPIs to the list: Impressions. Reach. CPM. Cost Per View.

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Looking Ahead to 2022: What’s Coming to Depict Data Studio 

Depict Data Studio

Wondering what to expect this year? Here’s what’s in store for 2022 related to: Online Courses, Private Training, Data Visualization Consulting, and Personal and Professional Goals. Online Courses. We’ll continue to offer online learning throughout 2022 (and likely for decades to come!). Here are the learning opportunities you can take advantage of this year.

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How a Data Catalog Enables Data Democratization

TDAN

For many organizations, data is a business asset that’s owned by the IT department. Based on this ‘data ownership’ model, there is limited access to data across the organization, and no transparency around what is available internally. Now, an increasing number of organizations are rushing to mandate organization-wide data strategies. But with the isolated data […].