Mon.Oct 05, 2020

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Ultimate Beginners Guide to Breaking into the Top 10% in Machine Learning Hackathons

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Finishing in the top 10% in Machine Learning Hackathons is a. The post Ultimate Beginners Guide to Breaking into the Top 10% in Machine Learning Hackathons appeared first on Analytics Vidhya.

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Evaluating Analytics and BI Software Vendors’ Capabilities

David Menninger's Analyst Perspectives

Ventana Research has been evaluating analytics and business intelligence (BI) software for a long time—almost 20 years. Our methodology for these assessments is referred to as a Value Index. We use weightings derived from our benchmark research about how you, as buyers of these technologies, value and evaluate vendors. You can view our 2019 Value Index results here.

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Amplify Intelligence With AI And Analytics — Forrester’s Virtual Data & Insights Forum, October 13–15

Boris Evelson

They say data is the new oil. They say data is the new currency. They say data is the key competitive differentiator. All true. But reality is sobering: Only 7% of firms report advanced, insights-driven practices. Respondents to the same survey claimed that less than half (49%) of all business decisions in their enterprise are […].

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The Hidden Gems of Python – Libraries that make Data Science a Cakewalk

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As the data science community grows, Python is seen dominating the. The post The Hidden Gems of Python – Libraries that make Data Science a Cakewalk appeared first on Analytics Vidhya.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.

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Algorithmic Stakeholders: An Ethical Matrix for AI

Dataiku

I had a great time earlier this week talking to the EGG audience at Dataiku about the past and future of algorithmic mistakes and harms. Broadly speaking, I introduced the concept of a “Weapon of Math Destruction” (WMD) as a predictive algorithm that is high stakes, opaque, and unfair. I gave examples from public education, hiring, the justice system, and credit.

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Confusion Matrix Is No More A Confusion for Data Science Aspirants!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction After we have trained our model and have predicted the outcomes, The post Confusion Matrix Is No More A Confusion for Data Science Aspirants! appeared first on Analytics Vidhya.

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Power of Marketing and Business Analytics – An Approach to Grow your Business Online from Scratch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Quoting Peter Drucker, “What gets measured, gets managed.” Have you ever pondered. The post Power of Marketing and Business Analytics – An Approach to Grow your Business Online from Scratch appeared first on Analytics Vidhya.

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How To Interact With Power BI Data In A PowerPoint Presentation

Smart Data Collective

Business intelligence is a crucial component in the chase to be on the top in this competitive corporate sphere. As a venture grows, it becomes tedious to keep track of the analytical data of the enterprise which, in turn, forms a road-block to decision making. Employing an analytical system in a data-driven business can help it to discover useful trends, information, conclusions and elevated decision making.

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Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As a programmer who is engaged in the field of AI. The post Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python appeared first on Analytics Vidhya.

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Announcing Vantage on Google Cloud

Teradata

Teradata Vantage on Google Cloud is now generally available! Vantage on Google Cloud is an as-a-service offer in which customers can get the most analytic value from their data. Read more.

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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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What Does Gradient Descent Actually Mean

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see what actually gradient Descent is. The post What Does Gradient Descent Actually Mean appeared first on Analytics Vidhya.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to Oct 4)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Afraz Jaffri scored his second “number 1” hit last with with a re-entry: How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications. This note was our most-read note across all of Data and Analytics excluding any branded research such as Magic Quadrants etc.

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How to Improve Your Business With Exploratory Data Analysis!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis is an approach to discover the insights in. The post How to Improve Your Business With Exploratory Data Analysis! appeared first on Analytics Vidhya.

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Cloud Transitional Services: Scalable Cloud Solutions When You Need Them

CDW Research Hub

Let’s face it: most IT directors or company leaders didn’t have “global pandemic” in their 2020 strategic plans. Enterprises everywhere have had to shift, re-plan, and ultimately roll with the economic punches in this year of uncertainty and “what’s next?”. Shifting to cloud in 2020. Arguably now more than ever, companies are cutting costs wherever they can, and trying to be as strategic as possible to get the most bang for their IT buck.

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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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Retailers - Don't be a Data Zombie!

Teradata

The retailer of the future is like a live organism - it will use a data brain to develop new agility and effective responses to rapidly evolving situations. Read more.

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A Shield Built of Connected Data: Knowledge Graphs Meet Cybersecurity

Ontotext

New cyberscapes call for new approaches towards cyber security. Today’s enterprise systems comprise a variety of architectures, devices and diverse sets of participants. It is a cyber ecosystem of sorts – a dynamics of processes, communication technologies and data flows. It is also an ecosystem with new vulnerabilities going hand in hand with its complexities.

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Amplify Intelligence With AI And Analytics — Forrester’s Virtual Data & Insights Forum, October 13–15

Boris Evelson

They say data is the new oil. They say data is the new currency. They say data is the key competitive differentiator. All true. But reality is sobering: Only 7% of firms report advanced, insights-driven practices. Respondents to the same survey claimed that less than half (49%) of all business decisions in their enterprise are […].