Fri.Jan 14, 2022

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Understanding Confidence Intervals with Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of contents Introduction Confidence Intervals with Z-statistic Interpreting Confidence Intervals Assumptions for CI using z-statistic Confidence intervals with t-statistic Assumptions for CI using t-statistic Making a t-interval with paired data z-value vs t-value: when to use what?

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Running Redis on Google Colab

KDnuggets

Open source Redis is being increasingly used in Machine Learning, but running it on Colab is different compared to on your local machine or with Docker. Read on for a 2-step tutorial on how to do it.

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A Comprehensive Guide on Recommendation Engines In 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The global market for the usage of Recommendation Engine was valued at USD 2.69 billion in 2021. It is anticipated to surpass USD 15.10 billion by 2026, reporting a CAGR of 37.79% during 2022-2026. The recommendations that companies give you sometimes use data […].

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Transfer Learning for Image Recognition and Natural Language Processing

KDnuggets

Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.

IT 145
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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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.

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AI-Powered Cyberattacks: Hackers Are Weaponizing Artificial Intelligence

Smart Data Collective

There is no denying the fact that AI is transforming the cybersecurity industry. A double-edged sword, artificial intelligence can be employed both as a security solution and a weapon by hackers. As AI enters the mainstream, there is much misinformation and confusion regarding its capabilities and potential threats. Dystopian scenarios of all-knowing machines taking over the world and destroying humanity abound in popular culture.

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In Search of a New Year’s Resolution? Check Out Proof of Concept!

Dataiku

We are excited to introduce the Proof of Concept podcast (also known as PoC) for viewers and listeners who want to learn, grow, and upskill themselves in the field of data science and machine learning (ML). PoC connects with viewers from all backgrounds and skill sets who interact with or use data everyday, whether technical and working in code or on the business side and low- or no-code.

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Managing AI Decision-Making Part 2: Human in the Loop for Exceptions

Decision Management Solutions

Continuing our series on AI management options (kicked off by the HBR article Managing AI Decision-Making Tools ) , the next option is Human in the Loop For Exceptions (HITLFE). This option is probably the most common in our clients. Our typical client is aiming to get a reasonably high rate of straight through processing – automated decisions – while still allowing for some human intervention.

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5 Ways Your Retail Banks Can Use Data to Better Serve Digital Natives

Smart Data Collective

There is no disputing the fact that data technology has changed the future of the financial industry. One of the sectors most impacted by big data has been banking. Big data is even more important to the banking sector as more of their services become digitalized. The market for analytics technology in the banking sector is projected to be worth over $5.4 billion by 2026.

Big Data 101
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Timely and Accurate Data

Paris Technologies

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Go Fast Using Data Virtualization

Data Virtualization

Reading Time: 3 minutes During a recent house move I discovered an old notebook with metrics from when I was in the role of a Data Warehouse Project Manager and used to estimate data delivery projects. For the delivery a single data mart with. The post Go Fast Using Data Virtualization appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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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.