Analytics Vidhya

SEPTEMBER 24, 2021

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.

Machine Learning 400

Machine Learning Machine Learning Data Science Python 400

Dataconomy

SEPTEMBER 21, 2021

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.

Cloud Computing 194

Cloud Computing Cloud Data 194

Hacker News

SEPTEMBER 24, 2021

This article is part of our special report on AI, “ The Great AI Reckoning. ”. Deep learning is now being used to translate between languages, predict how proteins fold , analyze medical scans , and play games as complex as Go , to name just a few applications of a technique that is now becoming pervasive. Success in those and other realms has brought this machine-learning technique from obscurity in the early 2000s to dominance today.

Deep Learning 182

Deep Learning Deep Learning Machine Learning Machine Learning 182

Smart Data Collective

SEPTEMBER 22, 2021

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.

Clustering 143

Clustering Big Data Big Data 143

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

Analytics Vidhya

SEPTEMBER 22, 2021

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.

Data Science 399

Data Science Analytics Analytics 399

Dataconomy

SEPTEMBER 20, 2021

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.

185

185

Smart Data Collective

SEPTEMBER 24, 2021

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

Machine Learning 140

Machine Learning Machine Learning Algorithm Data Scientist 140

Analytics Vidhya

SEPTEMBER 20, 2021

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.

Python 373

Python Data Science Analytics Analytics 373

Dataconomy

SEPTEMBER 23, 2021

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.

AI 183

AI AI Artificial Intelligence Artificial Intelligence 183

FlowingData

SEPTEMBER 21, 2021

For the employed, unemployed, and those not in the labor force, these charts — using an oldie but goodie visualization layout — show the percentage of people doing an activity over a day in 2020. Read More.

138

138

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

Smart Data Collective

SEPTEMBER 19, 2021

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role. As far as computer and information technology occupations go, security awareness training is a key starting point for anyone interested in the bright future that this sector offers.

Big Data 140

Big Data Big Data Cloud Computing Data Scientist 140

Analytics Vidhya

SEPTEMBER 23, 2021

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.

Data Analysis 367

Data Analysis Data Analysis Data Science Analytics 367

Eugene Yan

SEPTEMBER 18, 2021

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

Machine Learning 130

Machine Learning Machine Learning 130

FlowingData

SEPTEMBER 23, 2021

For when you want to fill SVG polygons with patterns instead of or in combination with color, Thomas Michael Semmler has a copy-and-paste collection. It’s just the basics, but it’s a convenient reference that could provide a starting point at the least. Tags: patterns , SVG , Thomas Michael Semmler.

121

121

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

Smart Data Collective

SEPTEMBER 20, 2021

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

Big Data 139

Big Data Big Data Analytics Analytics 139

Analytics Vidhya

SEPTEMBER 19, 2021

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 […].

Machine Learning 367

Machine Learning Machine Learning Data Science Analytics 367

DataRobot

SEPTEMBER 21, 2021

Could you do your job without a computer? As a child in the 1970s, I was told that computers would take all of our jobs. Yet here I am, working in a career that wouldn’t exist without computers. Most modern jobs require computers for emails, report writing, or videoconferences. Rather than replacing our jobs, computers have created new jobs and made existing jobs more human-centric, as we delegate tedious mechanistic tasks to machines.

AI 119

AI AI Artificial Intelligence Artificial Intelligence 119

FlowingData

SEPTEMBER 24, 2021

Poyang Lake is China’s largest freshwater lake, but sand mining has changed its depth and structure, which messes up the ecosystem. Simon Scarr and Manas Sharma for Reuters used satellite imagery to show the scale and disruption of the mining activities. The ships look like little bugs slowly eating away at the coastline. Tags: mining , Poyang Lake , Reuters , satellite imagery.

117

117

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

Smart Data Collective

SEPTEMBER 24, 2021

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.

Data Science 137

Data Science Analytics Analytics Big Data 137

Analytics Vidhya

SEPTEMBER 18, 2021

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 […].

Python 355

Python Data Science Analytics Analytics 355

Tableau

SEPTEMBER 21, 2021

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.

Tableau 108

Tableau 108

FlowingData

SEPTEMBER 22, 2021

ggplot2 provides sensible default settings for analysis, but when you make charts for a publication, you often need to match an existing style and shift focus to readability over exploration. Design around a message or results instead of leaving interpretation open-ended. Finally, you need to export your charts in the required file format with the correct dimensions and resolution.

111

111

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

Smart Data Collective

SEPTEMBER 22, 2021

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.

Natural Language Processing 135

Natural Language Processing Machine Learning Machine Learning AI 135

Analytics Vidhya

SEPTEMBER 22, 2021

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.

Data Scientist 351

Data Scientist Data Science Analytics Analytics 351

Tableau

SEPTEMBER 23, 2021

Nathan Cho. Nirav Kamdar. Spencer Czapiewski. September 23, 2021 - 11:58pm. September 28, 2021. Editor’s note: This article originally appeared on CIO.com. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? Hopefully, at the top, because it’s the very foundation of self-service analytics.

Data Governance 102

Data Governance Analytics Analytics Tableau 102

Dataversity

SEPTEMBER 20, 2021

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 […].

Data Governance 98

Data Governance Data Quality Cloud Data 98

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Smart Data Collective

SEPTEMBER 20, 2021

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.

Analytics 135

Analytics Analytics Big Data Big Data 135

Analytics Vidhya

SEPTEMBER 21, 2021

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.

Machine Learning 343

Machine Learning Machine Learning Data Science Analytics 343

Tableau

SEPTEMBER 20, 2021

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.

Tableau 102

Tableau Analytics Analytics AI 102

Dataversity

SEPTEMBER 23, 2021

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 […].

Database 98

Database Cloud Data 98

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!