Sat.Sep 18, 2021 - Fri.Sep 24, 2021

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Building a Machine Learning Model for Title Generation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […]. The post Building a Machine Learning Model for Title Generation appeared first on Analytics Vidhya.

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5 Risks of the Cloud’s Rapid Expansion

Dataconomy

Businesses across virtually every industry are rapidly adopting cloud service solutions. The global cloud computing market was worth an impressive $371.4 billion in 2020 and could more than double to $832.1 billion by 2025. Amid this rapid expansion, organizations must recognize this movement’s risks. Cloud security isn’t necessarily less secure.

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What Should Data Developers Know About Kubernetes Troubleshooting?

Smart Data Collective

We have previously talked about some of the open source tools available to create big data projects. Kubernetes is one of the most important that all big data developers should be aware of. Kubernetes has become the leading container orchestration platform to manage containerized data-rich environments at any scale. It has vastly simplified container deployment and management yet with the added complexity of managing clusters.

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The First Rule of Machine Learning: Start without Machine Learning

Eugene Yan

Why this is the first rule, some baseline heuristics, and when to move on to machine learning.

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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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A Complete Guide on Sampling Techniques for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon In this guide, I will share a detailed deep-dive of what is sampling, what are sampling techniques, and the industry use cases. As you know, fundamental to Data Science is getting good quality sample data. We always derive population parameters from the sample. Our […]. The post A Complete Guide on Sampling Techniques for Data Science appeared first on Analytics Vidhya.

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Protecting $50 billion in funds, DeFi security outfit Immunefi is a metaphor for all startups

Dataconomy

Decentralized finance – DeFi – has exploded over the last couple of years. And with any fast-moving new tech sector, some people will attempt to take advantage of the industry, which means DeFi security is a booming sector as we protect against an ever-increasing amount of hacks, breaches, and exploits.

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Data-Driven Strategies for Resolving Cyber Threats as a Business Owner

Smart Data Collective

Big data has become an essential asset in the fight against cybercrime. This has caused the demand for cybersecurity professionals with a background in big data to grow. It is important to use the latest data analytics and AI technology to counter these threats if at all possible. Business Owners Lean on Big Data to Deal with Cybercrime Threats. It’s no secret that the COVID pandemic caused a lot of industries to get flipped on their head or at least make some major organizational changes in ord

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Beginner’s Guide to Recursion in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction: Hello Readers, hope all of you are doing great. In this article, we will be covering all the basics needed for a beginner to start with recursion in python. What is Recursion? In many programs, you must have implemented a function that calls/invokes […]. The post Beginner’s Guide to Recursion in Python appeared first on Analytics Vidhya.

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Why Financial Service Institutions Need To Start Taking AI and CX More Seriously During Uncertain Times

Dataconomy

If there has been a silver lining to the pandemic, it’s been added great momentum and speed to digital transformation. Financial Service Institutions (FSIs) are entrenched in an industry that is time-honored and, as a result, often old-fashioned. However, FSIs must embrace developments in technology, specifically AI and customer experience.

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A flag planted for every Covid-19 death

FlowingData

In fall 2020, Suzanne Brennan Firstenberg planted a flag for each American who died from Covid-19. There were over a quarter of a million flags at the time. The art installation is back at the National Mall, but this time there are over 660,000 flags. The scale is just… a lot. Tags: coronavirus , flags , physical , Suzanne Brennan Firstenberg.

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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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How Can Machine Learning Change Customer Reviews?

Smart Data Collective

Machine Learning is a branch of Artificial Intelligence that works by giving computers the ability to learn without being explicitly programmed. Machine Learning is already being used in many aspects of our life , from recommending movies or music based on past preferences to giving doctors’ advice on relevant treatments for their patients. As technology advances, machine learning will have more opportunities to help businesses engage with their customers and improve the overall customer experie

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Data Analysis and Price Prediction of Electric Vehicles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview of Electric Vehicle Sector The supply of fossil fuels is constantly decreasing. The situation is very alarming. It is time for the world to slowly adapt to electric vehicles. A lot of change needs to happen. Major carmakers like Tesla and Porsche manufacture […]. The post Data Analysis and Price Prediction of Electric Vehicles appeared first on Analytics Vidhya.

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Develop and explore in a private space before sharing—meet Personal Space

Tableau

Varnit Grewal. Product Manager. Bronwen Boyd. September 21, 2021 - 11:05pm. September 22, 2021. Tableau users are passionate about exploring data and masterfully designing visualizations, but getting started isn’t always as easy as it should be. With admin-controlled projects and sites filled with outdated or unfinished content, finding the content you need and a place to save your work in progress can be a challenge.

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? Visualization Tools and Learning Resources, September 2021 Roundup

FlowingData

Every month I collect tools and resources to help you make better charts. Here’s the good stuff for September 2021. Become a member for access to this — plus tutorials, courses, and guides.

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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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Writing the Ideal Resume for Your Next Job in Data Science

Smart Data Collective

While it might sound ironic that high-tech fields such as data science still require you to submit a resume, even the most cursory look over a list of job openings should prove this to be true. Managers and HR department staffers in even the most technically-oriented companies are actually on the lookout for candidates with an impressive resume. This might encourage some applicants to stretch the truth.

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How to Develop a Virtual Keyboard Using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction OpenCV is the most popular library for the task of computer vision, it is a cross-platform open-source library for machine learning, image processing, etc. using which real-time computer vision applications are developed. CVzone is a computer vision package, where it uses OpenCV and […].

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Data-Intensive University Research Finds Value in Open Storage

Dataversity

Click to learn more about author Morgan Littlewood. Much has been written about the hunger for data storage in university research, whether in the humanities, arts, social sciences, genomic studies, astronomy, or seismic research. An increasingly popular option has been open-source storage – or “Open Storage” – which is software that is developed in a […].

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Develop and explore in a private space before sharing—meet Personal Space

Tableau

Varnit Grewal. Product Manager. Bronwen Boyd. September 21, 2021 - 11:05pm. September 22, 2021. Tableau users are passionate about exploring data and masterfully designing visualizations, but getting started isn’t always as easy as it should be. With admin-controlled projects and sites filled with outdated or unfinished content, finding the content you need and a place to save your work in progress can be a challenge.

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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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4 Ways to Use Data Analytics to Bolster Your Email Marketing Strategy

Smart Data Collective

Email marketing ranks among the best ways to stay in touch with an audience and potentially to build one too. However, like so many digital marketing tasks, it’s something that undergoes constant evolution and development. Even with the initial tasks out of the way, such as deciding on a tone and template and testing your email servers , it requires regular work to keep people engaged.

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Different Type of Correlation Metrics Used by Data Scientists

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Before explaining the correlation and correlation metrics, I would like you to answer a simple question. Let’s suppose you are the owner of a company that makes soft drinks. You have collected past one-year records which are the cost and sales of the […]. The post Different Type of Correlation Metrics Used by Data Scientists appeared first on Analytics Vidhya.

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The Ways Hybrid Cloud Can Work for Your Always-On Business

Dataversity

Click to learn more about author Arno Witvliet. As organizations go global and Software-as-a-Service (SaaS) and cloud-hosted online services grow, companies have adapted to an “always-on” model. Both technical and non-technical organizations are increasingly relying on online software, which only serves to increase the prevalence of always-on platforms in all aspects of our lives.

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Americans are dying too much

FlowingData

Derek Thompson for The Atlantic highlights recent research comparing mortality in America against rates in Europe : According to a new working paper released by the National Bureau of Economic Research, Americans now die earlier than their European counterparts, no matter what age you’re looking at. Compared with Europeans, American babies are more likely to die before they turn 5, American teens are more likely to die before they turn 20, and American adults are more likely to die before they t

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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 Blockchain Advances Paved the Route for the Success of Dogecoin

Smart Data Collective

Blockchain technology has been instrumental in the development of new forms of commerce. A growing number of new cryptocurrencies have emerged, due to major developments in blockchain. We have talked in the past about using data analytics to choose the best cryptocurrencies to invest in. However, we don’t talk as much about the role of blockchain in the inception of these cryptocurrencies and new digital coins on the scene.

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Hand Made Visualizations in Python using cutecharts Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Image1 Introduction In this article, I would like to introduce a cool python hand-painted styles visualization package; cute charts. Cutecharts are perfect to give a more personal touch to charts. If you want to make charts less intimidating then add a spoonful of sweetness […].

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Three Tips for Safeguarding Against Data Breaches

Dataversity

Click to learn more about author Balaji Ganesan. Sources indicate 40% more Americans will travel in 2021 than those in 2020, meaning travel companies will collect an enormous amount of personally identifiable information (PII) from passengers engaging in “revenge” travel. In a near 100% digital world, sensitive information including credit card numbers, email addresses, phone numbers, COVID-19 […].

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Tableau AI in the flow of work with Slack-First Analytics

Tableau

Francois Ajenstat. Chief Product Officer, Tableau. Christine Zuniga. September 20, 2021 - 11:22pm. September 21, 2021. Data is no longer just a competitive advantage. It is critical to the health—and often the survival—of an organization. Fostering a Data Culture equips every individual in your organization with the insights they need to tackle your most complex business challenges.

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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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What Tools Do You Need To Manage Unstructured Data?

Smart Data Collective

Unstructured data represents one of today’s most significant business challenges. Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise. In fact, by some estimates, as much as 80-90% of new data is unstructured , and that presents real challenges from a data management standpoint.

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Complete Guide to Feature Engineering: Zero to Hero

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction You must be aware of the fact that Feature Engineering is the heart of any Machine Learning model. How successful a model is or how accurately it predicts that depends on the application of various feature engineering techniques. In this article, we are […]. The post Complete Guide to Feature Engineering: Zero to Hero appeared first on Analytics Vidhya.

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The Declarative Approach in a Data Playground

Dataversity

Click to learn more about author Michele Iurillo. One of the most fascinating things I’ve found at my current organization is undoubtedly the declarative approach. It is something so simple and so powerful. In my first business intelligence endeavors, there were data normalization issues; in my Data Governance period, Data Quality and proactive Metadata Management were the critical points.

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Tableau AI in the flow of work with Slack-First Analytics

Tableau

Francois Ajenstat. Chief Product Officer, Tableau. Christine Zuniga. September 20, 2021 - 11:22pm. September 21, 2021. Data is no longer just a competitive advantage. It is critical to the health—and often the survival—of an organization. Fostering a Data Culture equips every individual in your organization with the insights they need to tackle your most complex business challenges.

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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.