Sat.Feb 15, 2020 - Fri.Feb 21, 2020

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There is No Noise?—?Only Bias

Insight

There is No Noise?—?Only Bias Understanding why noise in machine learning is nothing but bias In this post, we explain how bias and noise in machine learning are two sides of the same coin. God does not play dice.?—?Albert Einstein Einstein famously gave this statement in reaction to the emerging theory of quantum mechanics, which seemed to defeat the fundamental laws of physics.

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Differences Between ‘Available’ and ‘Accessible’

TDAN

A few months back, our company enjoyed a retreat a few hours north of the city. We bonded, brainstormed, and set visions and goals for the development of our company and our products. We also had bonfires with s’mores, and that’s more relevant than you might think. We ended up with a surplus of marshmallows […].

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Top Machine Learning Algorithms: How They Work (In Plain English)

Dataiku

This series will go over at a high level what machine learning is plus take a deeper dive into some of the top algorithms and how they work — in plain English!

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CNN vs. RNN vs. MLP – Analyzing 3 Types of Neural Networks in Deep Learning

Analytics Vidhya

Overview Check out 3 different types of neural networks in deep learning Understand when to use which type of neural network for solving a. The post CNN vs. RNN vs. MLP – Analyzing 3 Types of Neural Networks in Deep Learning appeared first on Analytics Vidhya.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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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How Data Leaders Can Become Powerful Agents for Change

Corinium

Promoting data literacy and culture is essential to the success of any digital transformation. Developing analytical skills is like fishing. Giving someone a rod isn’t enough. They must genuinely want to catch a fish if they’re going to learn how to use it. Even then, they’ll need someone to show them how.

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Data in 2020: Ventana Research Agenda

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. Data volumes continue to grow while data latency requirements continue to shrink. Meanwhile, virtually every organization is confronting a need for good data governance.

More Trending

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MongoDB in Python Tutorial for Beginners (using PyMongo)

Analytics Vidhya

Overview MongoDB is a popular unstructured database that data scientists should be aware of We will discuss how you can work with a MongoDB. The post MongoDB in Python Tutorial for Beginners (using PyMongo) appeared first on Analytics Vidhya.

Analytics 397
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Data Management 20/20: The Trinity of the Business Glossary

TDAN

Essential Components forthe Business/IT Lexicographer Today’s organizations often struggle with how poorly their information systems perform. Sources of this poor performance can be many, including functions and components in the conceptual, structural, organizational, and operational domains, among others. One recurring source of this poor performance is linguistic in origin.

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Analytics in 2020: Ventana Research Agenda

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2020 research agenda for analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes. It’s been exciting to follow the emergence of innovative capabilities in the analytics market, but for businesses it can be challenging to stay on top of all these changes.

Analytics 147
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How Big Data Has Changed the Financial Industry

Smart Data Collective

The accessibility and value of consumer data has grown substantially in the past several years. These days, nearly every company bigger than a “mom and pop” shop works to gather and analyze terabytes of data from their customers, hoping to better understand and serve them while one-upping the competition. In the financial industry, these efforts are particularly intense.

Big Data 118
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN)

Analytics Vidhya

Introduction Convolutional neural networks (CNN) – the concept behind recent breakthroughs and developments in deep learning. CNNs have broken the mold and ascended the. The post Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya.

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Cloud Data Science 7

Data Science 101

Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. News. Microsoft Releases DeepSpeed for Training very large Models DeepSpeed is a new open-source library for deep learning optimization. Using a component of the library named ZeRO, it can train models with up to 100 billion parameters.

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Ron Lewis makes retail sense with analytics

IBM Big Data Hub

This story is part of Analytics Heroes , a series of profiles on leaders transforming the future of business analytics.

Analytics 139
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Navigating Your Career in Electrical Engineering in the Big Data Era

Smart Data Collective

Many careers have been heavily impacted by changes in big data. The big data revolution has had a profound effect on healthcare, marketing and many other fields. One of the fields that has been most affected by big data is electrical engineering. Tom Dietterich, a professor of the Department of Electrical Engineering and Computer Science at Portland State University, has written an article on the impact of big data in this field.

Big Data 113
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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11 Powerful Talks from rstudio::conf 2020 you Must Watch – A Treat for R Users!

Analytics Vidhya

Introduction to the rstudio::conf 2020! I’m a heavy R user. It was the first programming language I learned (thanks to my interest in data. The post 11 Powerful Talks from rstudio::conf 2020 you Must Watch – A Treat for R Users! appeared first on Analytics Vidhya.

Analytics 379
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Dataiku: A Gartner Magic Quadrant Leader in Data Science and Machine-Learning Platforms

Dataiku

Our 2019 ended with a bang with the announcement that Dataiku became a unicorn valued at $1.4 billion and gained a new investor (CapitalG). On top of all of that excitement, we’re thrilled to kick off the year by being named a Leader in the Gartner 2020 Magic Quadrant for Data Science and Machine-Learning Platforms!

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Setting an AI strategy to unlock the value of your data

IBM Big Data Hub

It’s been said that data is the most valuable resource on the planet. But most companies aren’t getting the maximum value out of their data.

Strategy 110
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5 Ways Big Data Has Revolutionized Invoicing Software

Smart Data Collective

Big data is changing the nature of invoicing software in many ways. In 2015, Spend Matters wrote a detailed report on the applications of big data in the e-invoicing industry. This has changed the perception business owners had of invoicing applications, because they often ignored the benefits of it before then. Big Data Transforms Invoicing Software Applications.

Big Data 110
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Entity Resolution Checklist: What to Consider When Evaluating Options

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.

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Gartner’s 2020 Magic Quadrant for Data Science and Machine Learning Tools – check out the new Leaders!

Analytics Vidhya

Which Data Science or Machine Learning Tool is the Best? We are living in the age of choices. The data revolution has transformed the. The post Gartner’s 2020 Magic Quadrant for Data Science and Machine Learning Tools – check out the new Leaders! appeared first on Analytics Vidhya.

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What do you mean UX design is horizontal?

Teradata

There's a trend in enterprise organizations where folks are starting to refer to user experience design as a "horizontal" function, but what does this mean?

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How in-line address data quality delivers business ready data for AI initiatives

IBM Big Data Hub

Imagine opening your mailbox and seeing a letter addressed to “current resident,” or having your financial institution’s AI powered digital assistant inform you that your replacement card is on its way to your old address.

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Cloud And Big Data Technology Are Disrupting Injection Molding

Smart Data Collective

Injection molding is vital to the mass production of plastics and plastic products. Due to the variety of complications with mold design and mold manufacturing, and the combining of plastics and molding machines, there is difficulty in molding products with high quality and precision. However, Big Data and Cloud technology make the process simpler and improve quality.

Big Data 103
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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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5 Useful Tools To Provide Effective Data Visualization For Translators

Analytics Vidhya

Introduction Language translators are in a world of their own. Our task involves meticulous preparation and quality checks before the final touches are put. The post 5 Useful Tools To Provide Effective Data Visualization For Translators appeared first on Analytics Vidhya.

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5 Reasons Why AI-Analytics is more than just a Buzzword in 2020

bridgei2i

As technology innovates year after year, AI-powered analytics has likewise evolved, while keeping a decade-long marathon-paced trend in popularity. In fact, statistics from Maryville University on Business Data Analytics predict that the US market will be valued at more than $95 billion by the end of this year. With that in mind, here are the latest growth drivers, trends, and developments that will likely shape the world of business data analytics in 2020: 1.

IoT 83
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Enfo and Vapo Oy: Partners in environmental change

IBM Big Data Hub

It’s common knowledge that if any business is going to survive, let alone thrive, they must adapt to change. The energy industry in particular has always been at the forefront of evolving its practices for a multitude of reasons. Vapo Oy is one of Finland’s leading energy suppliers, and they are taking a head-on approach to how they deal with change.

IT 100
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Information Systems Careers Are the New Frontier of Big Data

Smart Data Collective

Are you looking to capitalize off of your knowledge of big data? There are a lot of careers that talented data scientists can pursue. Information systems careers are among the most promising. IBM Big Data and Analytics Hub has talked about some of the biggest changes impacting the world of big data. They found an interesting quandary that many companies are facing.

Big Data 102
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Top 3 Winning Solutions and Approaches from LTFS Data Science FinHack 2 (with Code)

Analytics Vidhya

Overview Presenting the top three winning solutions and approaches from the LTFS Data Science FinHack 2 The problem statement for this hackathon was from. The post Top 3 Winning Solutions and Approaches from LTFS Data Science FinHack 2 (with Code) appeared first on Analytics Vidhya.

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New Output to Snowflake Capabilities: A Deeper Integration with DataRobot

DataRobot

Deeper integration between DataRobot and Snowflake to help customers go from data to value even faster.

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The case for a public cloud database in a hybrid, multicloud world

IBM Big Data Hub

In the years leading to 2020, public cloud databases were commonly seen as “dev/test” environments for applications living on-premises. And while this use case is important and should continue to be implemented across IT functions, businesses must expand more workloads into cloud to realize monetary and operational benefits. However, a common question permeating every public cloud discussion has held some businesses back: “How secure is public cloud?

Testing 87
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Surprising Effect of Big Data on Negligence Investigation Cases

Smart Data Collective

Like all other sectors, the healthcare industry collects, stores and uses data. The market for big data in the global healthcare sector is expected to reach $42.8 billion by 2024. When a negligence claim is being investigated, this patient data can prove extremely valuable. In this post, we’ll look at how medical and patient data is handled during a negligence investigation claim.

Big Data 102
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The Big Payoff of Application Analytics

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.