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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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.
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.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
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 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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
erwin
APRIL 3, 2020
Many organizations start an enterprise architecture practice without a specialized enterprise architecture tool. Instead, they rely on a blend of spreadsheets, Visio diagrams, PowerPoint files and the like. Under normal circumstances, this approach is difficult. In times of rapid change or crisis, it isn’t viable. Four Compelling Reasons for An Enterprise Architecture Tool.
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.
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%.
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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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?
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.
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.
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
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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.
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?
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 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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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 […].
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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.
Sisense
APRIL 2, 2020
Blog. Tools of the Trade is your destination for data and analytics skill building: From dashboards and reports to embedding analytics and building custom analytic apps to SQL secrets and data deep-dives, whatever you need to know to be better at your job, you can find it here. Whether you’re on-site or connecting to distant data sources, the ability to query and manipulate data via SQL is the data team’s bread and butter.
IBM Big Data Hub
MARCH 31, 2020
Two of the greatest challenges faced by organizations today are the rising volume of data and the lack of confidence to act on the insights this data reveals. Fortunately, there are AI-fueled data management solutions that directly address these two challenges to make data simple and accessible.
Smart Data Collective
APRIL 1, 2020
Big data is redefining the world of marketing. A growing number of SaaS companies are looking for ways to use big data to get more value from leads and business opportunities. One of the ways businesses can rely more on big data is with SEO. Ahrefs is a leading SEO tool provider, which has used big data to deliver greater value to its customers. A growing number of other digital marketing experts have highlighted benefits with big data in SEO.
TDAN
MARCH 31, 2020
The word “organize” is the root of the word “organization.” Organizations are compelled to organize their information. With that said, organizations can operate in an organized and holistic manner with the application of information governance. In this article, we elaborate on the benefit, effective operations, and value of information governance in your organization.
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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