October, 2019

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How To Create Data Reports That Will Skyrocket Your Business Performance

datapine

Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. However, they have been a necessary evil, created by analysts and consultants. The term usually conjures up images of static PDFs, old-school PowerPoint slides and big tables. Usually created with past data without the possibility to generate real-time or future insights, these reports were obsolete, comprised of numerous external and internal files, with

Reporting 127
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Mathematics behind Machine Learning – The Core Concepts you Need to Know

Analytics Vidhya

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya.

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Creating Ecosystems That Support Data Culture

Corinium

The benefits of becoming a data-driven organization are clear. Enterprises that succeed in creating data environments where innovation can flourish tend to have happier customers and generate more revenue as a result.

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Highlights from TensorFlow World in Santa Clara, California 2019

O'Reilly on Data

People from across the TensorFlow community came together in Santa Clara, California for TensorFlow World. Below you’ll find links to highlights from the event. Opening keynote. Jeff Dean explains why Google open-sourced TensorFlow and discusses its progress. Watch “ Opening keynote “ Accelerating ML at Twitter. Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product.

IoT 195
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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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The Language Of Requirements Documents - When To Use Shall, Will & Should.

BA Learnings

A well-written business requirements document (BRD) forms the basis of successful project documents and can be used to verify that all stakeholders are on the same page. Three words that are often misunderstood and therefore misused in requirement documents are shall , should and will. But first… Why Do We Need A Business Requirements Document (Brd)?

Testing 124
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10 Free Top Notch Natural Language Processing Courses

KDnuggets

Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.

IT 123

More Trending

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Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)

Analytics Vidhya

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia. The post Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code) appeared first on Analytics Vidhya.

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‘Phase Two’ of Europe’s Data Transformation

Corinium

For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. The strategies have been agreed, the foundations have been laid and the real work is well underway.

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Highlights from the O’Reilly Artificial Intelligence Conference in London 2019

O'Reilly on Data

People from across the AI world came together in London for the Artificial Intelligence Conference. Below you’ll find links to highlights from the event. When flying is cheaper than standing still. Raffaello D’Andrea presents his vision of how autonomous indoor drones will drive the next wave of robotics development. Watch “ When flying is cheaper than standing still “ When to trust AI.

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Data Science Cheat Sheet for Business Leaders

DataCamp

This cheat sheet guides you through the basics of how data science can help your business, including building your data science team and the common steps in the data science workflow.

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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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Everything a Data Scientist Should Know About Data Management

KDnuggets

For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

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How To Make Stunning Dashboards & Take Your Decision Making To The Next Level

datapine

If you want to convey crucial information to decision-makers in the easiest and most effective way possible, you need to embrace the power of interactive dashboards. A business dashboard offers at-a-glance insights based on key performance indicators (KPIs) and is an intuitive and visually pleasing way to consume data. Unlike early predecessors, they give presenters the ability to engage audiences with real-time data.

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Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project

Analytics Vidhya

Overview Web scraping is a highly effective method to extract data from websites (depending on the website’s regulations) Learn how to perform web scraping. The post Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project appeared first on Analytics Vidhya.

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Why Data Security Is Seen As a Value Creator

Corinium

The passing of the California Data Privacy Act and first wave of GDPR fines are clear signs that data leaders can’t afford to take their eyes of the ball when it comes to compliance and security.

IT 186
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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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When to trust AI

O'Reilly on Data

This is a keynote highlight from the O’Reilly Artificial Intelligence Conference in London 2019. Watch the full version of this keynote on the O’Reilly online learning platform. You can also see other highlights from the event.

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Artificial Intelligence and the Knowledge Graph

Ontotext

What is AI? Defining artificial intelligence is tricky. Firstly, we aren’t agreed on what intelligence actually is, natural or artificial. The most famous test for artificial intelligence, the Turing Test, is little more than a process where, after asking a series of questions, a person decides if the thing they are interacting with seems intelligent or not.

Testing 109
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How YouTube is Recommending Your Next Video

KDnuggets

If you are interested in learning more about the latest Youtube recommendation algorithm paper, read this post for details on its approach and improvements.

IT 123
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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Business intelligence definition. Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps to provide users with detailed intelligence about the state of the business.

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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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Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub

Analytics Vidhya

Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.

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Three Key Takeaways from CDAO Europe 2019

Corinium

‘Ethics’, ‘strategy’ and ‘collaboration’ were the words on everyone’s lips when 115 data and analytics leaders descended on Berlin for CDAO Europe 2019 last week.

Strategy 191
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“Human error”: How can we help people build models that do what they expect

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

Modeling 135
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Top Use Cases for Enterprise Architecture: Architect Everything

erwin

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture. Analyst firm Ovum recently released a new report titled Ovum Market Radar: Enterprise Architecture. In it, they make the case that enterprise architecture (EA) is becoming AE – or “architect everything” The transition highlights enterprise architect

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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.

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Choosing the Right Clustering Algorithm for your Dataset

KDnuggets

Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.

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Is Artificial Intelligence good?

Bruno Aziza

You’ve read it in the papers. You’ve experienced it in life. Machines are taking over. And they are doing it fast. Siri turned 9 on October 4 (go ahead, ask her if you don’t believe me). Tesla’s first Autopilot program is also 9. And Alexa is less than 5 years old.

IT 104
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A Comprehensive Guide to Learn Swift from Scratch for Data Science

Analytics Vidhya

Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll. The post A Comprehensive Guide to Learn Swift from Scratch for Data Science appeared first on Analytics Vidhya.

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How to Perfect Your Data Culture Recipe

Corinium

One of the first questions new clients generally ask us is: “How do we maximize the value from our data?”.

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Your Expert Guide to CX Orchestration & Enhancing Customer Journeys

Speaker: Keith Kmett, Principal CX Advisor at Medallia

Join Keith Kmett, Principal CX Advisor, in this new webinar that will focus on: Understanding CX Orchestration Fundamentals: Gain a solid understanding of what CX orchestration is, its significance in the customer experience landscape, and how it plays a crucial role in shaping customer journeys. This includes the key concepts, strategies, and best practices involved in CX orchestration. 🔑 Connection to Customer Journey Maps: How to effectively integrate customer journey mapping into the

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TensorFlow Lite: ML for mobile and IoT devices

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

IoT 132
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Data Governance Makes Data Security Less Scary

erwin

Happy Halloween! Do you know where your data is? What data you have? Who has had access to it? These can be frightening questions for an organization to answer. Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in earl

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Data Preparation for Machine learning 101: Why it’s important and how to do it

KDnuggets

As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.

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Microsoft Research Open Data Search

Data Science 101

Microsoft Research Open Data is a search engine for free datasets available from Microsoft Research. The datasets are primarily aimed at Natural Language Processing (NLP) and computer vision. Take a look if you are in need of a dataset for your next project.

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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.