Analytics Vidhya
AUGUST 5, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In neural networks we have lots of hyperparameters, it is. The post Hyperparameter Tuning Of Neural Networks using Keras Tuner appeared first on Analytics Vidhya.
Dataconomy
AUGUST 19, 2021
Artificial intelligence is one of the most rapidly growing aspects of tech, and in a well-funded industry like the medical industry, new adaptations are helping with efficiency and precision. Ultimately, artificial intelligence is changing healthcare for good, but there are some growing pains as well. Many of those affect the.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
The Data Administration Newsletter
AUGUST 3, 2021
Increasingly, external data (alternative data, public data, open data – call it what you want) is being called the “secret sauce” of driving advanced analytics, developing machine learning and AI capabilities, enriching existing models, and delivering unrealized insights to every part of your organization. The difficulty in connecting to this data is top of mind for […].
Smart Data Collective
AUGUST 28, 2021
Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources.
Advertisement
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?
FlowingData
AUGUST 6, 2021
The Wall Street Journal tested out the TikTok algorithm with bots to see how quickly the app converged towards a user’s pre-specified interests. As viewing time of videos as the main signal, and to nobody’s surprise (I think), it only took a couple of hours for TikTok to narrow down interests. This is how most social services work these days?
Tableau
AUGUST 11, 2021
Francois Ajenstat. Chief Product Officer, Tableau. Bronwen Boyd. August 11, 2021 - 10:41pm. August 17, 2021. Data has never been more important. It answers key questions that drive business growth. It helps organizations connect with customers and provide personalized experiences. It leads to smarter decisions grounded in both intuition and insights.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
AUGUST 11, 2021
The care pathway of every patient is unique, but for persons living with diabetes, it is a long and complex intervention of care processes spread across the care continuum. Luckily, AI is transforming how diabetes is detected, managed, and prevented while improving patient outcomes. Today, about 463 million people are.
The Data Administration Newsletter
AUGUST 3, 2021
Through big data modeling, data-driven organizations can better understand and manage the complexities of big data, improve business intelligence (BI), and enable organizations to benefit from actionable insight. Big data modeling is an extension of data modeling, a practice adopted by many areas of Information Technology (IT), used to better understand enterprise data resources.
Smart Data Collective
AUGUST 18, 2021
When applied to the hiring process, data analytics can help you strategically grow and manage your team with greater accuracy and success. More companies are using big data to create a stronger company culture. 50% of business owners consider big data to be the most effective hiring method, a Global Recruiting Trends survey reveals. Moreover, big data can also improve talent retention by 56% and better clarify skills gaps by 50%.
FlowingData
AUGUST 13, 2021
Lingdong Huang’s project fishdraw seems straightforward on the surface. You go to the page and there’s a drawing of a fish. But then you keep clicking the refresh arrow and realize the fish are procedurally generated, including the name on the bottom. So good. Tags: drawing , fish , Lingdong Huang , procedural.
Advertisement
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
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 5, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data- a world-changing gamer is a key component for all. The post Let’s Understand All About Data Wrangling! 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.
The Data Administration Newsletter
AUGUST 31, 2021
A common misconception among c-level executives is that governance and management of data is the same thing other than in capital letters. Yet, there are some crucial differences between these two terms that should be understood before working on a project or implementing a program. Below, we will explore the main differences between Data Management […].
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.
Smart Data Collective
AUGUST 10, 2021
Big data and analytics technology is rapidly changing the future of modern business. Over 67% of companies spend over $10,000 a year on analytics solutions. Investments in analytics are being made across all major industries. ‘Although companies in healthcare, IT and finance are some of the biggest investors in analytics technology, plenty of other sectors are investing in analytics as well.
FlowingData
AUGUST 10, 2021
Most people are familiar with the file-and-folder view. Sort alphabetically, date, or file type, and scroll up and down. This works well when you know what you’re looking for, but sometimes you could use a quick overview of what a codebase looks like. Amelia Wattenberger for GitHub used packed circles. The fun part is towards the end where you can enter any repo to see what it looks like.
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 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.
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.
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?
The Data Administration Newsletter
AUGUST 3, 2021
Rigidly adhering to a standard, any standard, without being reasonable and using your ability to think through changing situations and circumstances is itself a bad standard. I guess I should quickly define what I mean by a “database standard” for those who are not aware. Database standards are common practices and procedures that are documented and […].
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.
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.
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 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 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.
The Data Administration Newsletter
AUGUST 17, 2021
If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Smart Data Collective
AUGUST 30, 2021
In the current economic turbulent times, showing business stakeholders that your knowledge sharing and reusing brings business value works as a driving force for investing in a knowledge management tool. . But, how do you convince stakeholders about the importance of knowledge management? Simple! Use data and analytics to back your claims. The simplest way is to measure the performance of your knowledge management.
FlowingData
AUGUST 3, 2021
Our everyday routines changed over the past year, and with the 2020 American Time Use Survey, we can see by how much. Read More.
Tableau
AUGUST 7, 2021
Mark Bradbourne. National Solutions Engineer, Tableau . Kristin Adderson. August 7, 2021 - 2:47pm. August 7, 2021. Hello, and welcome to the Best of the Tableau Web! One of the greatest gifts that the Tableau Community gives the world, aside from beautiful visualizations, is learning content. Learning Tableau, or anything for that matter, takes three things: time, patience, and practice.
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 […].
Advertisement
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.
Expert insights. Personalized for you.
400 
Let's personalize your content