Sat.Jul 03, 2021 - Fri.Jul 09, 2021

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How to choose an appropriate Machine Learning Algorithm for Data Science Projects?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I am going to explain the steps. The post How to choose an appropriate Machine Learning Algorithm for Data Science Projects? appeared first on Analytics Vidhya.

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Sustainability data reveals surprises that challenge the status quo

Dataconomy

Data has evolved to be present in every part of our lives. When buying a product, we search for a consumer rating or an expert giving us a statistic on how effective the product is. We collect data from our experiences and use it to guide future actions. A similar.

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Can Online Machine Learning Tools Help with Personal Financial Management?

Smart Data Collective

Artificial intelligence is rapidly changing the state of finance. There is a lot of discussion about financial institutions relying on AI technology to better serve their customers. Intuitively, this also means that consumers stand to benefit from advances in artificial intelligence as well. However, they should not be passive about waiting for their bank, insurance company or other financial institution to advise them about new technology that can assist them.

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Tree canopy and income

FlowingData

Ian Leahy and Yaryna Serkez for NYT Opinion look at income and tree canopy in major cities. Higher median income neighborhoods correlate with cleaner and cooler air. Tags: income , New York Times , trees.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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12 Matrix Operations You Should Know While Starting your Deep Learning Journey

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction If you start to learn deep learning, the first thing. The post 12 Matrix Operations You Should Know While Starting your Deep Learning Journey appeared first on Analytics Vidhya.

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GAIA-X and HEALTH-X dataLOFT add polypoly as a consortium partner to give citizens control over health data

Dataconomy

GAIA-X – a funding competition associated with the German Federal Ministry for Economic Affairs and Energy (BMWI) – has published the outlines for its first and second approval tranche, and polypoly is part of it as a consortium partner for the HEALTH-X dataLOFT project. GAIA-X is a project that aims.

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Find a color palette based on words

FlowingData

PhotoChrome is a straightforward tool that lets you use search terms to find a color palette. Just enter a query, and it spits out a color scheme of hex values based on matching images. It’s like Picular from a few years ago but more focused with a copy-paste. Tags: color , images , words.

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All Fundamentals of Python Functions that You Should Know – A Quick Brush Up!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, you’ll learn about Python functions and their applications. The post All Fundamentals of Python Functions that You Should Know – A Quick Brush Up! appeared first on Analytics Vidhya.

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Humans and AI: AI, Marketing, and Behavioral Economics

DataRobot

Who loves paying taxes? No one? I thought so. Yet it’s possible to nudge people to more willingly pay their taxes on time. The Behavioural Insights Team, also known unofficially as the “Nudge Unit,” was founded by the UK government in 2010 to use behavioral science to make public policies and services more effective. One of its more successful experiments is the use of peer pressure to improve tax collection.

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Understanding the Benefits And Risks Of Relying on AI

Smart Data Collective

John McCarthy invented the term Artificial Intelligence back in 1950. He said, “Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves.”.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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? Retired Minard – The Process 147

FlowingData

Welcome to issue #147 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m thinking about finite years, the long game, and learning visualization at an older age. Become a member for access to this — plus tutorials, courses, and guides.

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Shipping your Machine Learning Models With Dockers

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Docker is a platform that deals with building, running, managing, The post Shipping your Machine Learning Models With Dockers appeared first on Analytics Vidhya.

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Data Management Enables eCommerce Success

The Data Administration Newsletter

With the continuous evolution of technology and daily shifts in shopping trends, eCommerce is constantly adapting. Using reliable insights to keep up with rapid market changes, businesses are also deploying data mining and predictive analytics across massive amounts of clickstream and transactional data. However, today’s buying journey is no longer linear.

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Leveraging Social Analytics for Optimizing Your Marketing Strategy

Smart Data Collective

Analytics is extremely important for any company that wants to get the most out of its marketing efforts. Social media marketing is no exception. It is impossible to create an effective social media marketing strategy without utilizing big data analytics effectively. You need to learn how to use big data and social analytics with your marketing strategy.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Data Onboarding: The Critical (Yet Difficult) First Step

Dataversity

Click to learn more about author Eric Crane. After the work of engaging a prospect, pitching the product, going through an evaluation process, and finally landing the business, the last thing you want is to stumble in those first critical interactions where you bring your new customer on board and start servicing the business. As […]. The post Data Onboarding: The Critical (Yet Difficult) First Step appeared first on DATAVERSITY.

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Topic modeling With Naive Bayes Classifier

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Naive Bayes is a powerful tool that leverages Bayes’ Theorem. The post Topic modeling With Naive Bayes Classifier appeared first on Analytics Vidhya.

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The Key Role of the Data Governance Partner

The Data Administration Newsletter

A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program. The person asking the question shared their opinion that people in these roles must play a […].

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How BIM Can Use AI to Increase Workflow Efficiency

Smart Data Collective

Ever since its emergence at the beginning of the century, building information modeling (BIM) has streamlined the construction process of buildings, up from their conception to execution. Acting as a powerful 3D design tool, BIM software like Revit allows its users to visualize the final end product and make modifications that integrate with the model seamlessly.

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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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Influencing without Authority for Data Scientists

Eugene Yan

Show them the data, the Socratic method, earning trust, and more.

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Build Sketches from Photographs using OpenCV

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Table of content What is OpenCV and its Uses Project Explanation. The post Build Sketches from Photographs using OpenCV appeared first on Analytics Vidhya.

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Can We Reduce the Risks of Artificial Intelligence?

The Data Administration Newsletter

Artificial intelligence (AI) is already in place with applications in areas such as medicine, automobile, education, communication infrastructure, and more. Whereas many individuals and businesses like venturing into AI, some are reluctant because of possible threats. Some of the risks are relevant today, while others represent future concerns. These could relate to racial and gender […].

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Using Data Analytics for Selecting Staff Augmentation & Managed Services

Smart Data Collective

Many companies have discovered that it is very difficult to find a pool of talented employees. Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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How sports owners pay less taxes than athletes

FlowingData

ProPublica continues their analysis of an anonymous dump of tax records, this time with a focus on billionaire sports owners : The law favors people who are rich because they own things over people who are rich because they make a high income from their work. Wages — the main source of income for most people, including athletes — are taxed at the highest rates of all, topping out at a marginal rate of 37% plus an extra 3.8% for Medicare.

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15 Python Built-in Functions which You Should Know while learning Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In my previous article, I completely discuss all the basic. The post 15 Python Built-in Functions which You Should Know while learning Data Science appeared first on Analytics Vidhya.

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AI Transforming Unstructured Data Governance

The Data Administration Newsletter

The business case for data governance has been made several times in these pages. There can be no disagreement that every company and every government office must have a data governance strategy in place. Establishing good data governance is not just about avoiding regulatory fines. The data economy is growing, and data-driven organizations will dominate […].

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8 Considerations With Low-code Platforms for Data-Driven DevOps

Smart Data Collective

There are a lot of DevOp projects that rely heavily on big data. They are using AI and other forms of big data technology to create highly effective software applications. More businesses are investing in big data software solutions, because they realize big data is incredibly important for the modern economy. They are starting to realize that big data is vital to creating a successful business model.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Value of R, the Statistics-specific language

FlowingData

Paul Ford has been learning R to better understand the field of Statistics. The takeaway: Deep in its heart, R is a language for making charts, and it’s genuinely fun to go into its world: statistics, natural sciences, sociology — all right there. You will never pry me away from JavaScript or Python or the whole web stack of standards and protocols.

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Everything You Should Know about Iterables and Iterators in Python as a Data Scientist!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Python is a beautiful Programming Language. Because of its flexibility. The post Everything You Should Know about Iterables and Iterators in Python as a Data Scientist! appeared first on Analytics Vidhya.

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A Look Ahead: What Pros Need to Know About Cybersecurity in 2021

Dataversity

Click to learn more about author Jerry Ray. You can feel it – constrained optimism bubbling up throughout those communities fortunate enough to enjoy a vaccinated majority. You can see it – daily images of crowded airports and erratic phone videos of passionate passengers aching to stretch out. You can taste it – masks on […]. The post A Look Ahead: What Pros Need to Know About Cybersecurity in 2021 appeared first on DATAVERSITY.

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AI Can Improve Financing Access and Equitability to Disadvantaged Socioeconomic Groups

Smart Data Collective

Artificial intelligence has helped many businesses in various industries tackle a variety of challenges that they have faced in recent years. The merits of using artificial intelligence are usually discussed from the context of maximizing profits. However, AI technology can have more holistic benefits as well. We have talked about how big data and AI change the way we evaluate economics.

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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.