Analytics Vidhya
AUGUST 21, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Intro: In this article, I will walk you. The post Python Tutorial: Working with CSV file for Data Science appeared first on Analytics Vidhya.
Dataconomy
AUGUST 24, 2021
AI tech trends are driving humanity forward. Digital transformation has reached every industrial sector, and AI is achieving things that scientists have only dreamed about. Now, AI and ML technology is being used in several real-world applications that consumers come into contact with on a daily basis. While some dystopian.
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Smart Data Collective
AUGUST 22, 2021
There are a lot of great things about living in an era governed by big data. Big data creates a lot of new opportunities in business and our personal lives. However, there are also downsides to the sudden influx of data in the 21st Century. One major concern is that big data has made identity theft risks more significant. Addressing the Risk of Identity Theft in a World Increasingly Dependent on Big Data.
FlowingData
AUGUST 26, 2021
Welcome to issue #154 of The Process, the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and every month I collect visualization tools and learning resources that help you make better charts. Here’s the good stuff for August. Become a member for access to this — plus tutorials, courses, and guides.
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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?
Analytics Vidhya
AUGUST 23, 2021
This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch. Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network. Training data helps the model learn […].
Dataconomy
AUGUST 25, 2021
If there’s one topic that has captured the public’s attention consistently over the decades, it is this: have aliens visited Earth, and have we caught them in the act on camera?
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Tableau
AUGUST 23, 2021
Loreal Lynch. Vice President, Product Marketing. Bronwen Boyd. August 24, 2021 - 2:19am. September 2, 2021. As more businesses accelerate digital transformation initiatives, leaders are gaining a better understanding of the value of data, and want to scale analytics across their organization. However, on the road to becoming a data-driven organization, choosing an enterprise platform often presents leaders with compromises: Strong governance or agile, self-service?
Analytics Vidhya
AUGUST 25, 2021
This article was published as a part of the Data Science Blogathon Introduction Do you wish you could perform this function using Pandas. Well, there is a good possibility you can! For data scientists who use Python as their primary programming language, the Pandas package is a must-have data analysis tool. The Pandas package has everything […].
Dataconomy
AUGUST 27, 2021
Data Natives is back! Europe’s biggest data science and AI event will take place in Berlin, for real and in person, because online conferences are so 2020. Mark your diaries – we’ll be bringing you the best speakers, networking events, hackathons, open forums, and more between March 10 to 24, 2022.
Smart Data Collective
AUGUST 25, 2021
Artificial intelligence is one of the fastest-growing technologies. It grew 270% in just four years since more companies started noticing its benefits and adopted this technology. eCommerce businesses are no exception. Over 50 percent of them use AI for various purposes, like creating personalized services and automation. This article will share the basic concept of AI, including its definition, types, and current trends.
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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.
Tableau
AUGUST 23, 2021
Andy Cotgreave. Technical Evangelist Director, Tableau. Kristin Adderson. August 23, 2021 - 11:30pm. September 4, 2021. I imagine you’re familiar with this line of questioning: ”How satisfied are you with XYZ?” and “How likely are you to recommend XYZ to others?” or “How much do you agree or disagree with the following statements?”. Here these questions are rhetorical, but you’ve likely all seen and responded to similar survey questions as you’ve traversed the web.
Analytics Vidhya
AUGUST 23, 2021
This article was published as a part of the Data Science Blogathon Clustering The very first clustering algorithm that most people get exposed to is k-Means clustering. This is probably because it is very simple to understand, however, it has several disadvantages which I will mention later. Clustering is generally viewed as an unsupervised […].
FlowingData
AUGUST 27, 2021
Matt Henderson on Numberphile shows off a “lightning algorithm” which is actually a maze-solving algorithm that shows the solution at the end. Come for the demo at the beginning but stay for the explanation. Tags: algorithm , Matt Henderson , Numberphile.
Smart Data Collective
AUGUST 22, 2021
Cryptocurrencies are undoubtedly the rave of the moment. There are stories all over the internet about how crypto made someone a millionaire overnight. However, the crypto market experienced a significant downtrend recently with prices plummeting as low as 30% from peak prices in a matter of days. This has raised questions about the future of cryptocurrency investments.
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.
Tableau
AUGUST 24, 2021
Emily Chen. Associate Product Marketing Manager, Tableau. Spencer Czapiewski. August 24, 2021 - 8:08pm. September 8, 2021. The newest release of Tableau is here! Tableau 2021.3 includes the latest capabilities to bring efficiency to your workflows and organization at scale. Upgrade now to take advantage of these new innovations and bring the full power of the Tableau Platform across your business.
Analytics Vidhya
AUGUST 22, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.
FlowingData
AUGUST 25, 2021
For their 5 Levels series, Wired brought in Hilary Mason to explain machine learning at five levels of difficulty. Mason’s explanations are super helpful at every level. Tags: Hilary Mason , machine learning , Wired.
Smart Data Collective
AUGUST 26, 2021
Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. Nor do you have to reach out to the newspaper to find out what the weather is going to be like throughout the day. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips.
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.
Dataversity
AUGUST 27, 2021
Click to learn more about co-author Maarit Widmann. Click to learn more about co-author Daniele Tonini. Click to learn more about co-author Corey Weisinger. Time Series Forecasting is often neglected says Professor Daniele Tonini: “Considering the plethora of articles, applications, web tutorials and challenges on the data science subject that we’re seeing in the last […].
Analytics Vidhya
AUGUST 24, 2021
This article was published as a part of the Data Science Blogathon Introduction To use LRU caching in Python, you just need to add two lines – import and declaration of the @lru_cache decorator. We show with examples how and why to use it. Caching is one approach that, if used correctly, significantly speeds up work […]. The post Caching in Python: the LRU algorithm appeared first on Analytics Vidhya.
FlowingData
AUGUST 23, 2021
For NYT Opinion, Josh Bivens and Stuart A. Thompson argue that you don’t need to panic about inflation : It may surprise many Americans that even during times of strong growth and very low inflation (like the late 1990s) or weak growth and low inflation (like the years following the Great Recession), more than half of all goods and services are usually experiencing price increases.
Smart Data Collective
AUGUST 24, 2021
Analytics technology has helped improve financial management considerably. It is important to know how to use data analytics to improve your budget, cut costs and make sound investment decisions. One way to use analytics is to invest in cryptocurrencies more wisely. You can find some great ways to identify trends in the cryptocurrency industry. However, you can also identify the best digital currencies to invest in.
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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.
Dataversity
AUGUST 27, 2021
Click to learn more about author Mathias Golombek. If this time 10 years ago you were working in data and analytics, something was about to happen that would go on to dominate a large part of your professional life. I’m talking about the emergence of “big data.” I recently read that the origins of the concept […]. The post Big Data at 10: Did Bigger Mean Better?
Analytics Vidhya
AUGUST 24, 2021
This article was published as a part of the Data Science Blogathon Introduction Churn prediction is probably one of the most important applications of data science in the commercial sector. The thing which makes it popular is that its effects are more tangible to comprehend and it plays a major factor in the overall profits earned […]. The post Churn Prediction- Commercial use of Data Science appeared first on Analytics Vidhya.
DataRobot
AUGUST 25, 2021
In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process. In each of these categories is a set of dimensions of trust.
Smart Data Collective
AUGUST 22, 2021
Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. One example is with software validation. Big data has been instrumental in the software development process. A number of software developers are using data analytics and machine learning technology to improve the quality of their products and expedite the development of their applications.
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.
Dataversity
AUGUST 24, 2021
Click to learn more about author Kaycee Lai. As analyst and journalist Bernard Marr put it, “Without data scientists on staff or available to interpret data and turn the intel into solid business activity, the benefits of data could remain unlocked.” Augmented analytics promises to improve the ability of organizations to derive benefits from data by: Taking more […].
Analytics Vidhya
AUGUST 27, 2021
This article was published as a part of the Data Science Blogathon Introduction Dash is an open-source web framework for creating analytical dashboards and data visualizations. It helps data analysts to deploy dashboards and serve these dashboards to the main web application. Dash constitutes of three technologies: 1. Plotly.js- It is used for creating beautiful charts […].
Tableau
AUGUST 24, 2021
Emily Chen. Associate Product Marketing Manager, Tableau. Spencer Czapiewski. August 24, 2021 - 8:08pm. September 8, 2021. The newest release of Tableau is here! Tableau 2021.3 includes the latest capabilities to bring efficiency to your workflows and organization at scale. Upgrade now to take advantage of these new innovations and bring the full power of the Tableau Platform across your business.
Smart Data Collective
AUGUST 22, 2021
Big data has changed every aspect of the economy. We have talked about the different mediums that rely on big data technology to improve customer service. Cable and Internet service providers are among those that have leaned heavily on big data technology in recent years. They have found a number of uses for data analytics, which have helped them give better service offerings and prices to their customers.
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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