Analytics Vidhya
NOVEMBER 18, 2020
Overview Know which are the top 13 data science libraries in python Find suitable resources to learn about these python libraries for data science. The post Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources) appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
NOVEMBER 13, 2020
A data lake is a centralized repository designed to house big data in structured, semi-structured and unstructured form. I have been covering the data lake topic for several years and encourage you to check out an earlier perspective called Data Lakes: Safe Way to Swim in Big Data? for background. Our data lake research has uncovered some points to consider in your efforts, and I’d like to offer a deeper dive into our findings.
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TDAN
NOVEMBER 17, 2020
Top-quality data currently represents one of the most important resources for any company. This is especially true for young businesses that don’t have much experience in their market and that still don’t know enough about their customers. Startups that lack familiarity with important tendencies and trends in their industry need to have this crucial data […].
Dataiku
NOVEMBER 4, 2020
The bulk of an organization’s data science, machine learning, and AI conquests come down to improving decision-making capabilities. Teams may aim to achieve new levels of agility, expedite the time to insights, or refine the process leading up to the business value extraction so that it’s more efficient. When during this process, though, should data executives get either predictive or prescriptive?
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.
Juice Analytics
NOVEMBER 11, 2020
We are makers in our work. Whether designing a marketing campaign, creating a presentation, or building a spreadsheet, information workers spend a lot of time creating stuff. And we want better tools to do all that making. How far have these tools come? In some cases, the complex desktop tools have been replaced by nimble, web-based (and often less feature-rich) options.
Smart Data Collective
NOVEMBER 25, 2020
Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective. One of the most significant changes brought by advances in machine learning is with the loan underwriting process.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Domino Data Lab
NOVEMBER 17, 2020
Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Introduction. High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g., the entire genome, the amounts of metabolites, the composition of the microbiome). These technologies have been described as the ‘universal detection’ of molecules in cells, tissue, or organisms in an unbiased and un-targeted way [1].
erwin
NOVEMBER 13, 2020
The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. Are you ready for it? See also: What Is Enterprise Architecture? . COVID-19 has forced organizations around the globe to re-examine or reimagine themselves. However, even in “normal times,” business leaders need to understand how to grow, bring new products to market through organic growth or acquisition, identify new trends and opportunities, de
Timo Elliott
NOVEMBER 11, 2020
I have had several requests from people who want to set up some equipment for professional presentations at virtual events—a home or office studio that enables you to present live as if you were a TV weather person: Here’s a list of most of what I use (with some links, mostly to the French Amazon site where I purchased most of it — I live in Paris).
Dataiku
NOVEMBER 11, 2020
In our previous article , we gave an in-depth review on how to explain biases in data. The next step in our fairness journey is to dig into how to detect biased machine learning models.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Smart Data Collective
NOVEMBER 18, 2020
The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly.
Analytics Vidhya
NOVEMBER 26, 2020
Introduction In the last article, I shared a framework to help you answer the question, “Should I become a data scientist (or business analyst)?“ The post How To Have a Career in Data Science (Business Analytics)? appeared first on Analytics Vidhya.
Cloudera
NOVEMBER 10, 2020
Around the world, a number of countries celebrate November 11 as a day to give thanks and recognition for their veterans. Originally designated to honor the end of World War I ( Armistice Day and Remembrance Day ), in some countries it is now used to pay respect to all veterans ( Veterans Day ). . Year after year, we use this time to express our support and appreciation to those who have served in the military.
John Wheeler
NOVEMBER 25, 2020
Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. IRM technology product leaders will need to develop IRM capabilities that are capable of addressing the IRM market insights outlined in this blog post. Key Findings. The shift in the IRM buyers from IT leaders to business leaders is being driven by an increasing need to better understand the tactical view of technology risks in a strategic bu
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.
The Unofficial Google Data Science Blog
NOVEMBER 17, 2020
by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. linear regression, trees) can be too rigid in their functional forms. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.
Dataiku
NOVEMBER 17, 2020
In the previous posts in the How They Work (in Plain English!) series, we went through a high-level overview of machine learning and have explored two key categories of supervised learning algorithms — linear and tree-based models — and two key unsupervised learning techniques, clustering and dimensionality reduction. Today we’ll dive into recommendation engines, which can use either supervised or unsupervised learning.
Smart Data Collective
NOVEMBER 12, 2020
In an age where data plays a fundamental role in every aspect of our lives, it’s relatively simple to find the answers that we need. You can conduct a Google query and you’ll quickly find thousands of helpful webpages, YouTube videos, and blogs dealing with the issue. Big data has made it possible to store information on virtually everything. Unfortunately, the growing reliance on big data hasn’t come without a cost.
Analytics Vidhya
NOVEMBER 16, 2020
Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. But. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.
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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
Cloudera
NOVEMBER 17, 2020
One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. Knowing that a transaction is fraudulent is a critical requirement for financial services companies, but knowing that a transaction that was flagged by a rules-based system as fraudulent is a valid transaction, can be equally important.
FineReport
NOVEMBER 30, 2020
When looking at your company’s monthly metrics, it’s essential to focus on a month’s worth of data. Realizing a 50% increase in sales can be encouraging, but looking at these numbers separately doesn’t necessarily provide a full picture of your business performance. A month’s metrics is worthwhile, but it can be misleading if not placed in the proper context.
Jet Global
NOVEMBER 24, 2020
The tax function is rapidly evolving into a more strategic role within modern organizations. However, given this pace of change, many executives are still unaware of the untapped strategic potential within their tax teams. This is an unfortunate reality that many tax technologists and strategists report. In their words, they’re all too often seen as “compliant paper pushers,” and their departments are viewed as mere cost centers rather than value-adding assets.
Dataiku
NOVEMBER 25, 2020
Total spending on AI-related drug discovery and development tools is expected to hit $1.3 billion in 2022, according to Boston Consulting Group. These are massive numbers and, while true that research and discovery are a key part of the life sciences and pharmaceuticals value chain, data science, machine learning, and AI can play a valuable role across its entirety.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
Smart Data Collective
NOVEMBER 18, 2020
The market for big data is surging. It is expected to be worth $274 billion within the next two years. The increasing demand for big data is not surprising. We are living at a time when there is heavy reliance on big data, which often comes from online information. Due to the benefits online data provides, you should strive even more to find or share factual information.
Analytics Vidhya
NOVEMBER 1, 2020
Introduction to Machine Learning Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning. The post How Can You Build a Career in Data Science & Machine Learning? appeared first on Analytics Vidhya.
Cloudera
NOVEMBER 10, 2020
Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! As one of my dear customers, a data worker in Pharma, said to me: “I really don’t care about bells and whistles, I just want to get my task done.
FineReport
NOVEMBER 25, 2020
Dashboard reporting refers to putting the relevant business metrics and KPIs in one interface, presenting them visually, dynamic, and in real-time, in the dashboard formats. With the advent of modern dashboard reporting tools, you can conveniently visualize your data into dashboards and reports and extract insightful information from it. This article will review the best 10 dashboard tools covering different areas, including open source and free software.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
Jet Global
NOVEMBER 19, 2020
This article is part of our multi-part series about the challenges that CFOs face going into 2021. Please be sure to check back for other posts in the series coming soon. 2020 brought with it a series of events that have increased volatility and risk for most businesses. Even before the coronavirus disrupted supply chains and shifted priorities, business leaders understood the need to identify and monitor the factors that could have an impact on their enterprises.
Dataiku
NOVEMBER 13, 2020
While the backdrop of 2020’s global health crisis and economic uncertainty makes heading into the holiday season quite unlike years past, the U.S. is still slated to drive online sales growth. According to eMarketer , both Black Friday and Cyber Monday shopping days are positioned to surpass $10 billion in e-commerce sales, with their projected totals up 39% and 38% from last year, respectively.
Smart Data Collective
NOVEMBER 1, 2020
We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Hence, it comes as no surprise that mundane business tasks are being completely taken over by tech advancements. Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun.
Analytics Vidhya
NOVEMBER 30, 2020
Introduction Becoming a data scientist has become like the “American Dream” – everybody wants to have it! However, for all the beginners out there. The post How can you Master Data Science without a Degree in 2020? appeared first on Analytics Vidhya.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
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