Mon.Jan 27, 2020

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Build Your First Text Classification model using PyTorch

Analytics Vidhya

Overview Learn how to perform text classification using PyTorch Understand the key points involved while solving text classification Learn to use Pack Padding feature. The post Build Your First Text Classification model using PyTorch appeared first on Analytics Vidhya.

Modeling 368
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Data Literacy: A Huge Opportunity for the Healthcare Industry

Corinium

It’s easy to get excited about the many ways AI and advanced analytics will shape the future of healthcare. But the industry has a way to go before these technologies begin having a significant impact on the health of ordinary Americans. In the meantime, there’s a great deal that health organizations can be doing today to deliver better quality care with data.

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AI-Driven Predictions for Super Bowl LIV: A Touchdown for Sports Analytics

DataRobot

In Super Bowl LIV this Sunday, the Kansas City Chiefs will face the San Francisco 49ers in Miami, Florida. This will be the first Super Bowl appearance for the Chiefs in 50 years. After a loss in 2013, the 49ers are looking to secure their sixth Super Bowl ring, which would tie them with the New England Patriots and Pittsburgh Steelers for the league record.

Analytics 133
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Data Privacy and Why it Matters to Our Customers

Teradata

People want control over their personal data, but are also willing to trade it away for convenience. When does the exploitation of our data become unethical? Read more!

IT 115
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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5 Lessons for Launching Data Products

Juice Analytics

A couple weeks ago I had the opportunity to present to a group of innovation leaders at The Disruption Lab event alongside my friend and Juicebox customer Gene Boerger of Preverity. The topic was a favorite of mine: Unlocking the Value in Your Data: A Case Study in Data Monetization. At Juice, we’ve worked with dozens of companies to create data products (download free our Checklist for Product Managers of Data Products ).

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Dynamic Programming for Data Scientists

MLWhiz

Algorithms and data structures are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists. Now the question that many people ask here is what is the use of asking a data scientist such questions.

Testing 66

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The 5 most useful Techniques to Handle Imbalanced datasets

MLWhiz

Have you ever faced an issue where you have such a small sample for the positive class in your dataset that the model is unable to learn? In such cases, you get a pretty high accuracy just by predicting the majority class, but you fail to capture the minority class, which is most often the point of creating the model in the first place. Such datasets are a pretty common occurrence and are called as an imbalanced dataset.

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Don’t Put Backup on the Backburner

Nutanix

Today we’re proud to announce the general availability of Nutanix Mine. This truly integrated data protection solution allows customers to experience top-notch data management capabilities on Nutanix’s industry-leading enterprise cloud platform.

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A simple introduction to Linked Lists for Data Scientists

MLWhiz

Algorithms and data structures are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists. Now the question that many people ask here is what is the use of asking a data scientist such questions.

Testing 59
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Snowflake Data Migration Checklist

CDW Research Hub

Are you preparing to move data to a Snowflake data warehouse? Creating a well-thought out plan before your big move is essential. It is important to establish a timeline, budget, team roles and goals before you launch into a big migration. To help ensure your migration is a success, we’ve created a Snowflake migration checklist that covers many of the little details we sometimes forget when caught up in a big move.

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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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BRIDGEi2i cited as a Pure-play Insights Service Provider in Leading Analyst Firm’s Report

bridgei2i

Bangalore, JANUARY 28, 2020. BRIDGEi2i Analytics Solutions is pleased to announce its inclusion among ‘Now Tech: Insights Service Providers, Q1 2020 Report’ This report provides an overview of insights service providers and helps enterprises select vendors based on size and functionality. According to Forrester, insights service providers deliver end-to-end, data-to-insights-to-execution engagements, drive effective change and stakeholder management to ensure insights implementation,

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These Are the Best Marketing & Retail EGG Talks from 2019

Dataiku

Another day, another ranking of the best 2019 EGG talks by industry.

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American chopper EDW

3AG Systems

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The Cloud Adoption Showdown: 2018 vs. 2019

Nutanix

Inevitably, the cloud model of choice one year might drop off the pedestal the next.

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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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AI And BI Are Vibrantly Sparking New Trends In Affiliate Marketing

Smart Data Collective

The market for affiliate marketing is expected to reach $8.2 billion by 2022. AI is making it easier than ever to succeed in this growing field. The application of Artificial intelligence and Business Intelligence in affiliate marketing has been actively discussed for quite a time. No wonder, more or less but the majority of marketers have already applied them both at their campaigns.

Marketing 105
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Don’t Put Backup on the Backburner

Nutanix

Today we’re proud to announce the general availability of Nutanix Mine. This truly integrated data protection solution allows customers to experience top-notch data management capabilities on Nutanix’s industry-leading enterprise cloud platform.

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5 Incredible Ways Big Data Has Made VPNs Powerful Privacy Tools

Smart Data Collective

Online privacy is more of a concern than ever before. A poll from Pew Research showed that 62% of Americans are worried that they can’t go a single day without their data being collected. Fortunately, big data can also help with protecting privacy. Big data advances have made VPNs more effective than ever. Big Data Has Led to Impressive Improvements in VPNs.

Big Data 101
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The Cloud Adoption Showdown: 2018 vs. 2019

Nutanix

Inevitably, the cloud model of choice one year might drop off the pedestal the next.

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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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The Cloud Adoption Showdown: 2018 vs. 2019

Nutanix

Inevitably, the cloud model of choice one year might drop off the pedestal the next.