Sat.Mar 14, 2020 - Fri.Mar 20, 2020

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TensorFlow 2.0 Tutorial for Deep Learning

Analytics Vidhya

TensorFlow 2.0 – a Major Update for the Deep Learning Community Just when I thought TensorFlow’s market share would be eaten by the emergence. The post TensorFlow 2.0 Tutorial for Deep Learning appeared first on Analytics Vidhya.

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6 trends framing the state of AI and ML

O'Reilly on Data

O’Reilly online learning is a trove of information about the trends, topics, and issues tech leaders need to know about to do their jobs. We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1].

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How to Know When the Customer Isn’t Right

Corinium

Customer experience optimization initiatives that depend too heavily on customer surveys or focus groups can lead organizations to make poor business decisions. When an executive wants to find out what customers think of their business, a logical ‘first thought’ might be to go out and ask them. This will work a lot of the time. But in certain circumstances, can also lead businesses to make terrible decisions.

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MicroStrategy World 2020

David Menninger's Analyst Perspectives

MicroStrategy recently held its annual user conference, which focused on the theme of the “Intelligent Enterprise.” HyperIntelligence, an innovative product for delivering analytics throughout organizations that they introduced a year ago, was the star of the event. The company announced enhancements to HyperIntelligence and the latest version of its flagship platform, MicroStrategy 2020, as well as a new two-tiered education and certification program.

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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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8 Powerful Hacks to Ace Data Science Hackathons

Analytics Vidhya

Introduction Like any discipline, data science also has a lot of “folk wisdom”. This folk wisdom is hard to teach formally or in a. The post 8 Powerful Hacks to Ace Data Science Hackathons appeared first on Analytics Vidhya.

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The 4 Best Jupyter Notebook Environments for Deep Learning

KDnuggets

Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.

More Trending

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Azure has the most Cloud Regions, and it's not even close

Data Science 101

The big cloud providers are expanding globally by adding more Global Regions. Google recently announced a new mountain west region. Plus, all the other providers have plans to expand globally. This got me wondering, which provider has the most global regions. I went to all the big cloud provider websites, and I was a bit surprised with the results. Google Cloud Regions.

IT 145
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Top 6 Open Source Pretrained Models for Text Classification you should use

Analytics Vidhya

Introduction We are standing at the intersection of language and machines. I’m fascinated by this topic. Can a machine write as well as Shakespeare? The post Top 6 Open Source Pretrained Models for Text Classification you should use appeared first on Analytics Vidhya.

Modeling 398
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Types of Enterprise Architecture Frameworks: ArchiMate, TOGAF, DoDAF and more

erwin

An enterprise architecture framework is a standardized methodology that organizations use to create, describe and change their enterprise architectures. Enterprise architecture (EA) itself describes the blueprint and structure of an organization’s systems and assets. It’s needed to make informed changes that help bridge the gap between the enterprise architecture’s current and desired future state.

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What is the most effective policy response to the new coronavirus pandemic?

KDnuggets

Where Test/Trace/Quarantine are working, the number of cases/day have declined empirically. Furthermore, this appears to be a radically superior strategy where it can be deployed. I’ll review the evidence, discuss the other strategies and their consequences, and then discuss what can be done.

Testing 150
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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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Advanced Analytics for Coronavirus – Trends, Patterns, Predictions

Teradata

Advanced analytics and AI can significantly accelerate data processing required to get the insights, answers and recommendations to handle and address the COVID-19 pandemic.

Analytics 138
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What is Multicollinearity? Here’s Everything You Need to Know

Analytics Vidhya

Introduction Multicollinearity might be a handful to pronounce but it’s a topic you should be aware of in the machine learning field. I am. The post What is Multicollinearity? Here’s Everything You Need to Know appeared first on Analytics Vidhya.

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Using Enterprise Architecture, Data Modeling & Data Governance for Rapid Crisis Response

erwin

Because of the coronavirus pandemic, organizations across the globe are changing how they operate. Teams need to urgently respond to everything from massive changes in workforce access and management to what-if planning for a variety of grim scenarios, in addition to building and documenting new applications and providing fast, accurate access to data for smart decision-making.

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When Will AutoML replace Data Scientists? Poll Results and Analysis

KDnuggets

Will AI always be 5-10 years away? The majority of respondents to this poll think that AutoML will reach expert level in 5-10 years. Interestingly, it is about the same as 5 years ago. We examine the trends by AutoML experience, industry, and region.

IT 146
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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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Predicting COVID-19 on the U.S. County Level

DataRobot

With the fight against COVID-19 spreading across the U.S. and the world, DataRobot understands it is essential that federal government entities convey accurate information to citizens, local governments, and healthcare providers. Towards that end, DataRobot’s enterprise AI platform has developed models to predict which U.S. counties are likely to have their first confirmed COVID-19 cases in the next five days.

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Introduction to Polynomial Regression (with Python Implementation)

Analytics Vidhya

Here’s Everything you Need to Get Started with Polynomial Regression What’s the first machine learning algorithm you remember learning? The answer is typically linear. The post Introduction to Polynomial Regression (with Python Implementation) appeared first on Analytics Vidhya.

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Google Video – Rules of Machine Learning

Data Science 101

To be great with machine learning, it helps to be a great engineer. That means doing the following: write simple code make it readable comment it fix the ever present sign mistake leverage peer review and version control track performance launch and iterate. Those are the general rules for software engineering, this video contains some specific rules for software with machine learning.

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Five Interesting Data Engineering Projects

KDnuggets

As the role of the data engineer continues to grow in the field of data science, so are the many tools being developed to support wrangling all that data. Five of these tools are reviewed here (along with a few bonus tools) that you should pay attention to for your data pipeline work.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

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.

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Improving Prediction of the Unconfirmed COVID-19 Cases

Teradata

With the lack of available tests & uncertainty around the true number of COVID-19 cases, Teradata Epidemiologist Daniel Ulatowski & Data Scientist Jack McCush hypothesize how symptomatic data & the Vantage ML Engine can be utilized to predict cases.

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An Essential Guide to Pretrained Word Embeddings for NLP Practitioners

Analytics Vidhya

Overview Understand the importance of pretrained word embeddings Learn about the two popular types of pretrained word embeddings – Word2Vec and GloVe Compare the. The post An Essential Guide to Pretrained Word Embeddings for NLP Practitioners appeared first on Analytics Vidhya.

Analytics 368
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COVID-19 Coronavirus Daily Updates in Power BI

Paul Turley

This is a Power BI report that I have developed and published with public access to the web to be shared with anyone who needs access to this information. It contains daily updates from the Center for Disease Control using data curated by the John Hopkins University Center for Systems Science & Engineering. To the best of our collective ability, the data is accurate but I cannot make any guarantees.

Reporting 122
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A Beginner’s Guide to Data Integration Approaches in Business Intelligence

KDnuggets

An integrated BI system has a trickle-down effect on all business processes, especially reporting and analytics. Find out how integration can help you leverage the power of BI.

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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.

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AI & Machine Learning Can Solve Data Management Problems

TDAN

Top Data Management Problems The modern world functions on information. Millions of files are being created, stored, processed, and distributed. A primary aspect of data management is digitizing large amounts of documents, books, and reports that have been collected for hundreds of years. The Great Volume of Data The more that data is digitized and […].

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Be Humble: Black Swans and the Limits of Inductive Reasoning

DataRobot

After a decade of relative economic stability, we are now confronted by the COVID-19 pandemic, with many financial analysts labelling it as a ‘black swan’ event. A ‘black swan’ is a metaphor for something unexpected which has a major impact. These type of events can cause significant disruption to business processes, financial markets, and our lives.

Marketing 112
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Reasons For Transitioning To Cloud Computing In 2020

Smart Data Collective

Cloud computing has now become a common term that all of us have heard of. However, unfortunately, many of us still don’t understand the complete potential of cloud computing. It is high time for all us to understand how it can make our lives easier. Instead of storing data on a computer or hard drive , cloud computing stores programs and data over the internet.

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Nine lessons learned during my first year as a Data Scientist

KDnuggets

What is it like to be a Data Scientist? There can be many hats to wear, and so many problems to solve that are fed with data, churned by data science, and guided by business results. Find out about lessons learned from one Data Scientist about how best to work and perform in the role.

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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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Cloud Data Science 11

Data Science 101

Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google is starting to take enterprise AI seriously and Amazon is continuing to do interesting things. So, here is the news. News. Google introduces Cloud AI Platform Pipelines Google Cloud now provides a way to deploy repeatable machine learning pipelines.

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5 More Things Business Leaders Need to Know About Machine Learning

DataCamp

Dive deeper into what you need to know about machine learning to sustainably grow your data function and your company at large.

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Top 10 Jenis Peta Dalam Visualisasi Data

FineReport

Kenapa semua orang suka menggunakan jenis peta yang berbeda-beda untuk memvisualisasi informasi di laporan berita atau laporan analisa data? Selain tingkat efisiensi yang tinggi dalam mengirimkan informasi, ada alasan penting lain, yaitu, menarik. Tidak peduli seberapa membosankan sebuah konten, asalkan dilengkapi dengan peta yang keren, pasti akan menarik perhatian.

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A Comprehensive Data Repository for Fake Health News Detection

KDnuggets

We introduce the FakeHealth, a new data repository for fake health news detection. Following a preliminary analysis to demonstrate its features, we consider additional potential directions for better identifying fake news.

IT 122
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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.