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 162
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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 143
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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 306
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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.

More Trending

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough.

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A Detailed Guide on Web Scraping using Python framework!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview: What is a web scraping and how does it work with Python? Interestingly, Web scraping is a word that refers to the practice of extracting and processing vast amounts of data from the internet using a computer or algorithm. Scraping data from the […]. The post A Detailed Guide on Web Scraping using Python framework!

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What is new in Cloudera Streaming Analytics 1.5?

Cloudera

At the end of May, we released the second version of Cloudera SQL Stream Builder (SSB) as part of Cloudera Streaming Analytics (CSA). Among other features, the 1.4 version of CSA surfaced the expressivity of Flink SQL in SQL Stream Builder via adding DDL and Catalog support, and it greatly improved the integration with other Cloudera Data Platform components, for example via enabling stream enrichment from Hive and Kudu. .

Analytics 120
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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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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 138
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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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Dashboards for 10-Year-Olds: Connecting Data to Students’ Lived Experience

Depict Data Studio

Bob Coulter is the director of the Litzsinger Road Ecology Center, a 38-acre field site in suburban St. Louis. He’s also a Depict Data Studio student and when he shared his work in our graduation ceremony, I knew it needed to be showcased. Keep up the great work Bob! – Ann. __. For the past few months, I’ve been developing dashboards to support students’ understanding of local ecology and equip them to use that local understanding as a baseline to explore the rest of the world.

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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 108
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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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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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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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.

Testing 105
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Why Is Metadata Discovery Important? (+ 5 Use Cases)

Octopai

On a scale of 1 to 10, rate the difficulty of the following tasks: Searching for a needle in a haystack Finding an earring that fell off in the Mall of America Tracking down every appearance of a given customer’s birthdate amongst 100K+ data assets across your entire BI landscape. Haystacks and gigantic malls have NOTHING on data repositories. Use it or lose it.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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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 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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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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Graphs on the Ground Part I: The Power of Knowledge Graphs within the Financial Industry

Ontotext

In the past year, knowledge graphs topped the curve of the Gartner Hype Cycle for Artificial Intelligence, and graph database vendors raised more than half a billion dollars in venture capital funding. It’s safe to say knowledge graphs have entered the spotlight. But amidst all the hype and hubbub, what is the real value of a knowledge graph? In this blog series, we will explore specific industries to highlight the impact of knowledge graphs on critical use cases.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Cyber Insurance Could Keep Your SMB Afloat Post Cyber Attack

Smart Data Collective

In the wake of the COVID pandemic, cybercrime is skyrocketing to unprecedented levels and daily ransomware attacks increased by 50% in 2020. The cause of this rise is largely due to the massive increase in American employees working from home. Where employees used to be under the umbrella of their organization’s security networks and using their business’ secured devices, today the majority of employees are remote.

Insurance 130
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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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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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The Role of AI in Combating Climate Change

DataRobot

Climate Change presents a global problem for our generation and the generations that will follow us. The Earth’s abundance has limits and Mother Nature will bend and stretch to provide for her inhabitants, but it may come at a cost. As our society presents advancement after advancement in technology, medicine, and industry, we can harness these investments to reduce the reflexive impact on the environment.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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A brief explanation of Python Decorators

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Decorators are simply callables for decorating a function. It helps add new functionalities to a function without changing its original structure. In this article, we are going to learn the hows, whats, and whys of decorators. But before delving into Decorators we must […].

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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 92
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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 80
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.