Analytics Vidhya
APRIL 2, 2020
Introduction to Feature Scaling I was recently working with a dataset that had multiple features spanning varying degrees of magnitude, range, and units. This. The post Feature Scaling for Machine Learning: Understanding the Difference Between Normalization vs. Standardization appeared first on Analytics Vidhya.
O'Reilly on Data
MARCH 31, 2020
If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door.
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David Menninger's Analyst Perspectives
MARCH 30, 2020
I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.
Corinium
APRIL 3, 2020
Corinium Production Manager Catherine King summarizes the key insights she discovered while moderating our first ever Customer Champions Online, USA event. Incentivize Customer-Centric Sales Engagements.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
MARCH 29, 2020
What if I told you that we can derive effective and impactful insights from our dataset in just a few lines of code? That’s. The post GroupBy in Pandas: Your Guide to Summarizing and Aggregating Data in Python appeared first on Analytics Vidhya.
datapine
APRIL 3, 2020
Customer service shouldn’t just be a department, it should be the entire company.” – Tony Hsieh, CEO of Zappos. Consumers are more empowered than ever before. With access to an ever-growing number of digital touchpoints for connecting with peers, conducting research, and making all-important buying decisions, it’s up to today’s businesses to provide a level of service that is outstanding across the board.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Corinium
MARCH 31, 2020
Aligning projects with business goals and expanding them in a structured way is vital when delivering AI-at-scale. Applying AI models at scale is one of the most cost-effective ways to drive ROI with the technology.
Analytics Vidhya
APRIL 1, 2020
Overview The ideal time to work on your data science portfolio with these open source projects From datasets on COVID-19 to a collection of. The post 6 Open Source Data Science Projects to Make you Industry Ready! appeared first on Analytics Vidhya.
datapine
APRIL 2, 2020
In the modern age, brands and businesses that benchmark their activities stand to gain an all-important edge on the competition. Whatever your niche or industry, working with dynamic key performance indicators (KPIs) will empower you to track and improve your performance in a number of key areas, accelerating your commercial success in the process. Without data, you will only ever be ‘shooting in the dark’ when it comes to formulating strategies and making informed decisions.
Juice Analytics
MARCH 31, 2020
Tableau posted a critique of the BBC's coronavirus visualizations , stirring up a good discussion and mixed reviews on Twitter. I wanted to dive a bit deeper into my reaction to the kerfuffle. In the post, Andy Cotgreave’s primary assertion is that the following BBC bar charts should be set to a scale of 0% to 100%. He makes the following points: “Our eyes stretch to the right, and the risk is we perceive that to mean 100%.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Bruno Aziza
MARCH 30, 2020
How Big Data can help our understanding of Coronavirus (COVID-19)
Analytics Vidhya
MARCH 29, 2020
Can you fool your deep learning model? What does lying to your deep learning model even entail? This question we’re sure most of you. The post Can you Lie to your Deep Learning Model? appeared first on Analytics Vidhya.
erwin
MARCH 30, 2020
Data intelligence has a critical role to play in the supercomputing battle against Covid-19. Last week, The White House announced the launch of the COVID-19 High Performance Computing Consortium , a public-private partnership to provide COVID-19 researchers worldwide with access to the world’s most powerful high performance computing resources that can significantly advance the pace of scientific discovery in the fight to stop the virus.
DataRobot
APRIL 1, 2020
Our objective is to predict the severity of a COVID-19 patient at time of hospital admission , to provide a second opinion to the triaging officer, so that more resources can be accurately allocated to a serious case [1]. We define a serious case as a patient having at least 11 days of hospitalisation which is equal to or more than the average stay of a serious COVID-19 case [2], or died in hospital.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
Depict Data Studio
MARCH 31, 2020
I recently had the chance to talk with my friend Jon Schwabish of PolicyViz. You might recognize Jon from our earlier interview about tips for doing and teaching data visualization in cultures other than your own. Our latest conversation was part of the Urban Institute’s Data@Urban Digital Discussions series. The intention of these talks are to connect with each other while we’re all social distancing.
Analytics Vidhya
MARCH 30, 2020
Overview Learn how to build your own ball tracking system for cricket using computer vision and Python We will discuss different approaches for tracking. The post Howzatt! How to Build Your Own Ball Tracking System for Cricket appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 1, 2020
Big data is the lynchpin of the Software as a Service (SaaS) business model. Panoply, a big data innovator, has talked about a new model called Data as a Service, which is a variation of the same idea. Big data is used at every junction of the SaaS model. Savvy companies will use it to track important KPIs to meet their goals. SaaS Model Relies on Big Data Innovation.
FineReport
MARCH 29, 2020
Kamu pasti pernah melihat data visualisasi sebelumnya. Tapi apa sesungguhnya arti visualisasi data? Grafik? Bagan? Atau dashboard? Hari ini, saya telah mengumpulkan semua info yang kamu perlu tahu mengenai visualisasi data yang mencakupi definisi, kepentingan, dan tipe-tipe dasar visualisasi data. Selain itu, saya juga akan memperkenalkan top 16 tipe grafik yang dipakai dalam memvisualisasi data dan menganalisis penggunaan semua grafik ini dalam skenario yang berbeda jadi kamu tahu tipe grafik m
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Data Science 101
MARCH 30, 2020
Daphne Koller is a former Stanford Professor, former co-founder of Coursera, and now a founder of insitro. She has a wealth of knowledge and always has something interesting to say. This talk was delivered at Women in Data Science 2020. The post Daphne Koller – A New Approach to Drug Discovery appeared first on Data Science 101.
Analytics Vidhya
MARCH 31, 2020
Ideal Time to Start your Machine Learning Journey! Picture this – you want to learn all about machine learning but just can’t find the. The post Announcing the Machine Learning Starter Program! [FREE Access for 14 Days!] appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 3, 2020
Big data is driving a number of changes in the business community. Some of the benefits of big data incredibly obvious. However, there are also a lot of other benefits big data creates that don’t get as much publicity. One of the biggest benefits of big data is that it can create giveaway bots for online businesses. These benefits can be incredible for many ecommerce stores.
DataRobot
MARCH 31, 2020
Computer vision has been suggested to help with the battle against COVID-19. In this article, we want to share our preliminary research into two different datasets. Confirming existing results , we found defects with the existing approaches, due to leakage when building COVID image datasets from heterogeneous sources. We explain here why these issues occurred, using interpretability tools to detect them.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
IBM Big Data Hub
MARCH 30, 2020
As we learn to cope at a personal level with the dynamic development of the COVID-19 outbreak, we are seeing an increasing impact to businesses in every industry. Supply chains are broken, demands are shifting and resources are shrinking. How do you prepare your business for the economic and operational impact?
Sisense
MARCH 30, 2020
Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. As consumers, we’ve become used to intuitive search engines like Google that learn about our consumption habits. The results we see online are incredibly personalized towards our own digital behavior.
Smart Data Collective
MARCH 31, 2020
The market for big data and AI is surging. One recent study found that the global market for these technologies will be worth $229 billion within the next five years. There are many benefits to industries that implement AI; healthcare, finance, communications, retailers, and even art companies are making use of the technology. And in the marketing industry, AI is revolutionizing the way corporations use data, interact with customers, and grow their firm’s reach.
DataRobot
APRIL 2, 2020
Visual AI is New in DataRobot 6.0. In Release 6.0 of DataRobot , we are thrilled to announce a ground-breaking new capability in our Automated Machine Learning product. DataRobot Visual AI gives you the ability to easily incorporate image data into your machine learning models alongside tabular and text-based data types. This enables your organization to get value from computer vision, right away – all with the same DataRobot usability, workflow, visuals, and other UI features you know and love.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Jedox
APRIL 2, 2020
The definition of “cloud native” can vary significantly depending on who you ask. Of the most common jargon used to talk about the changes in technology and business, it is unlikely it would be the first thing that comes to mind. ( Digital Transformation , anyone?) However, that is changing fast. In this blog post, we’ll dig deeper into digital native, cloud native, and how it will influence the work of FP&A professionals.
TDAN
MARCH 31, 2020
Stewardship is one of the foundational components of a successful data governance (DG) program but it can also be one of the more confusing areas of DG to understand. A search of available content about stewardship or stewardship roles will show a variety of definitions, titles and responsibilities – some seemingly overlapping or even conflicting […].
Smart Data Collective
APRIL 1, 2020
Artificial intelligence has been leveraged to solve countless challenges in recent years. The coronavirus crisis is putting the benefits of AI to the test. The Hill recently discussed this in its article “ Enlisting AI in our war on coronavirus: Potential and pitfalls.”. One of the ways AI is helping people with the recent pandemic is by improving banking.
IBM Big Data Hub
APRIL 2, 2020
Building on a history of collaboration, in April 2017, IBM and HCL entered into a 15-year partnership that merged the best of their shared knowledge and teaming experience to accelerate the product roadmap and innovation of IBM Informix.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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