Sat.Oct 09, 2021 - Fri.Oct 15, 2021

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Deep Learning based Malaria Detection Model for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Malaria is a significant burden on our healthcare system and it is the major cause of death in many developing countries. It is endemic in some parts of the world which means that the disease is regularly found in the region. Therefore, early […]. The post Deep Learning based Malaria Detection Model for Beginners appeared first on Analytics Vidhya.

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A Day in the Life of a DataOps Engineer

DataKitchen

A DataOps implementation project consists of three steps. First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. It considers whether a component is deployable, monitorable, maintainable, reusable, secure and adds value to the end-user or customer.

Testing 157
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Be the Best – 9 Ways to Market Your Business with Big Data

Smart Data Collective

Big data technology has been a highly valuable asset for many companies around the world. Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Data-Driven Marketing is More Important than Ever. The competition out there is fierce, so it is vital that you find ways to make your business stand out from the crowd.

Big Data 138
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The Quality of Auto-Generated Code

O'Reilly on Data

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. First, we wondered about code quality. There are lots of ways to solve a given programming problem; but most of us have some ideas about what makes code “good” or “bad.”

Testing 305
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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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Support Vector Machine(SVM): A Complete guide for beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Support Vector Machine(SVM) SVM is a powerful supervised algorithm that works best on smaller datasets but on complex ones. Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks, but generally, they work best in classification […].

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3 Practices to Help Build a Strong Data Culture

Dataiku

Let’s be frank — creating a lasting data culture in your company isn’t going to happen overnight. No technology you install or datasets you gather will do that for you. You need time and, as we’ve seen across pop culture, it usually takes a new idea or innovation (or an old idea packaged as new) to change culture. This change usually falls on data leaders to drive because they have a unique perspective across data, technology, and the organization.

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Important Steps to Take to Address the Bias in AI

Smart Data Collective

We mentioned previously that bias is a big problem in machine learning that has to be mitigated. People need to take important steps to help mitigate it for the future. Regardless of how culturally, socially, or environmentally aware people consider themselves to be, bias is an inherent trait that everyone has. We are naturally attracted to facts that confirm our own beliefs.

Modeling 131
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Making Natural Language Processing easy with TextBlob

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Image 1 First of all, don’t let the title deceive you! Natural Language Processing is a vast field of its own. It is evident that a lot of linguistic computation and analysis can easily be performed with modern NLP tools and applications. From […]. The post Making Natural Language Processing easy with TextBlob appeared first on Analytics Vidhya.

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Addressing Data Protection and Deletion With Dataiku

Dataiku

It’s no secret that data malpractice and the release of confidential information have been making headlines in recent years. It seems that every few months there’s a more innovative way to hack into data, from falsifying customer metrics to interfering with election results. It’s time for this to end.

Metrics 111
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Why It’s Time for Finance to change

Jedox

Ask finance and accounting professionals if they would like to do more value adding work and you’ll hear a re-sounding “YES!” Ask them why they are not just doing it already and most often you will hear “I don’t have time”. This is like a chronic disease of the finance function but unlike most chronical diseases this one has a cure! To change the mindset of CFOs and their finance function from “a cost center to becoming a profit driver” as we discussed in a previous article, “Exploring the minds

Finance 105
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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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How Can You Use Machine Learning to Optimize Pricing in FinTech?

Smart Data Collective

FinTech is about connecting with customers. They expect something different from classically understood banking. The more you know about your audience, the more you can offer them. It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. What can you learn from real-market examples? Figuring out the best pricing model can be tricky.

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The Importance of Data Drift Detection that Data Scientists Do Not Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is Model Monitoring and why is it required? Machine learning creates static models from historical data. But, once deployed in production, ML models become unreliable and obsolete and degrade with time. There might be changes in the data distribution in production, thus causing […].

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Digital Twins and Their AI Use Cases

Dataiku

Barry Boehm, perhaps the most influential software engineer of his generation, was delivering software to a military submarine in the early 1970s in the form of a big three-foot long metal tray filled with paper punch cards. An officer asked if the software would be on the boat when they sailed. Boehm said yes, it’s part of a new system they’ll be testing on this voyage.

Software 105
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CDP Public Cloud Regional Control Plane is Now Available in Australia and Europe

Cloudera

We’re excited to announce the availability of CDP Public Cloud Regional Control Plane in Australia and Europe. This addition will extend CDP Hybrid capabilities to customers in industries with strict data protection requirements by allowing them to govern their data entirely in-region. CDP’s public cloud architecture is designed to ensure that customer data remains within a customer’s environment at all times, helping enable companies to meet their data protection obligations, including any rest

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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6 Data-Driven Tips to Dramatically Improve User Experience on Your Site

Smart Data Collective

We have talked about the benefits of using big data in web design. One of the most important benefits of data analytics is improving user experience. Jenny Booth highlighted this in her post Data-informed design: Getting started with UX analytics. We wanted to cover this topic in more depth. Big Data is Crucial for Improving Online User Experience. Companies that use data technology strategically are able to significantly boost their overall conversion rates.

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Machine Learning for Stock Market Prediction with Step-by-Step Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Stock Market Prediction Stock market prediction and analysis are some of the most difficult jobs to complete. There are numerous causes for this, including market volatility and a variety of other dependent and independent variables that influence the value of a certain […].

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How to Move From Brick and Mortar to Online With Dataiku

Dataiku

During the 2021 Dataiku Product Days , Mark Sucrese, VP of Marketing Sciences at Epsilon , shared some insights on a very common challenge that businesses are facing today: moving from brick and mortar to online stores.

Marketing 105
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Apache Ozone – A High Performance Object Store for CDP Private Cloud

Cloudera

As organizations wrangle with the explosive growth in data volume they are presented with today, efficiency and scalability of storage become pivotal to operating a successful data platform for driving business insight and value. Apache Ozone is a distributed, scalable, and high performance object store, available with Cloudera Data Platform Private Cloud.

Testing 89
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

The market for AI technology is growing remarkably. Businesses around the world spent over $60 billion on artificial intelligence last year alone and the demand is expected to continue to rise. Businesses spend a lot of time and resources on marketing to stand out from their competition. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors.

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An Introduction to Problem-Solving using Search Algorithms for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In computer science, problem-solving refers to artificial intelligence techniques, including various techniques such as forming efficient algorithms, heuristics, and performing root cause analysis to find desirable solutions. The basic crux of artificial intelligence is to solve problems just like humans.

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Exploring the mindset of CFO 4.0

Jedox

“What got you here won’t get you there” is a popular saying and CFOs around the world have long since realized this. However, creating the actual change needed to “get us there” is not taking place at the speed required. The WHY is understood but the WHAT and the HOW is where the going gets tough. In a recent post “Behold the Emergence of CFO 4.0” , we explored the emergence of CFO 4.0 and outlined five key changes for CFOs and their finance teams to make to get into the future.

Finance 76
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#ClouderaLife Spotlight: Bryan Bottinelli, Commercial Account Executive

Cloudera

As we continue to celebrate Hispanic Heritage Month, we’d like to shine a spotlight on yet another one of Cloudera’s high performing employees who contributes to the culture and community both in and outside of the Cloudera walls. . Meet Bryan Bottinelli, a 2 year Clouderan and first generation American with roots in Colombia and Chile. . As a Commercial Account Manager, he spends his work days growing the adoption of Cloudera Data Platform (CDP) in the Great Lakes region.

Sales 86
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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Why Investing in Data Is Crucial for Business Growth In 2022

Smart Data Collective

There’s no denying that data is everywhere in life. The rate at which information is being collected is growing exponentially, with approximately 2.5 quintillion bytes (that’s 2,5000, 000, 000, 000, 000, 000!) of data being produced every day. As technology continues to advance data generation across the world, it’s safe to say that investing in data solutions will be crucial to seeing business growth and success in 2022 and beyond.

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Leveraging PyTorch to Speed-Up Deep Learning with GPUs

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview: Users formerly needed to know specialist languages, such as OpenGL, to use GPUs, which is related to their original purpose. These languages were designed specifically for GPUs, making them difficult to learn and use. GPUs, which were originally designed to speed up graphics […].

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The Evolving Role of FP&A: The Value of Extended Planning

Jedox

The role Financial Planning & Analysis plays within an organization has always been vitally important. At a recent CFO Magazine Australia event on the 'Future of Finance,' three industry professionals using Jedox shared how FP&A has supported their organizations through very challenging times.

Finance 69
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Your Parents Still Don’t Know What a Hashtag Is. Let’s Teach Them the Basics of Machine Learning and Streaming Data

Cloudera

Quite often, the digital natives of the family — you — have to explain to the analog fans of the family what PDFs are, how to use a hashtag, a phone camera, or a remote. Imagine if you had to explain what machine learning is and how to use it. There’s no need to panic. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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How to Get Started as a Data Engineer

Smart Data Collective

If you enjoy working with data, or if you’re just interested in a career with a lot of potential upward trajectory, you might consider a career as a data engineer. But what exactly does a data engineer do, and how can you begin your career in this niche? What Is a Data Engineer? A data engineer’s job is to take data and transform it in a way that makes it easier or more useful to analyze.

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Machine Learning Model Deployment using Streamlit

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview of Streamlit If you are someone who has built ML models for real-time predictions and wondering how to deploy models in the form of web applications, to increase their accessibility. You are at the right place as in this article you will be […]. The post Machine Learning Model Deployment using Streamlit appeared first on Analytics Vidhya.

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3 Inherent Challenges to the Modern Data Stack

Dataiku

The collection, analysis, and operationalization of data has never been easier or faster thanks to the modern data stack — today, it’s widely considered the sustainable way for small to midsize companies and teams to become data-driven. However, that doesn’t mean it’s completely without obstacles. Here are three challenges that arise when implementing a modern data stack (and how they can be addressed).

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How to acquire new customers?

Aryng

For businesses to flourish, they need to constantly acquire new and valuable customers. The process of bringing in new customers is called customer acquisition and is a part of customer analytics. While the process sounds simple, actually acquiring customers is a complex process. A company not only needs to bring in new customers, it also […] The post How to acquire new customers?

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.