Wed.Aug 07, 2019

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A Comprehensive Guide to Build your own Language Model in Python!

Analytics Vidhya

Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we. The post A Comprehensive Guide to Build your own Language Model in Python! appeared first on Analytics Vidhya.

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SaaS Dashboard Examples For Modern Business Management Practices

datapine

In the Age of Information, digital technologies have evolved to such an extent that a wealth of tools, applications, and platforms exists to enhance the way businesses operate in a number of areas. Software as a service (SaaS) has blossomed in the last five years, and the public SaaS market is expected to grow to $76 billion by the year 2020, according to FinancesOnline.

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What is Benford’s Law and why is it important for data science?

KDnuggets

Benford’s law is a little-known gem for data analytics. Learn about how this can be used for anomaly or fraud detection in scientific or technical publications.

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How Data Analytics Tools Eliminate Business Owner Headaches

Smart Data Collective

Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges.

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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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Deep Learning for NLP: ANNs, RNNs and LSTMs explained!

KDnuggets

Learn about Artificial Neural Networks, Deep Learning, Recurrent Neural Networks and LSTMs like never before and use NLP to build a Chatbot!

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Top 5 Data Catalog Benefits: Understanding Your Organization’s Data Lineage

erwin

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects. Data cataloging helps curate internal and external datasets for a range of content authors.

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Dashboard Design Best Practices – 4 Key Principles

Sisense

Blog. Building an effective dashboard according to best practices for dashboard design is the culmination of a comprehensive BI process that would usually include gathering requirements, defining KPIs, and creating a data model. However, the importance of proper dashboard design should not be understated — poorly designed dashboards could fail to convey useful information and insights and even make the data less comprehensible than it was originally.

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Exploratory Data Analysis Using Python

KDnuggets

In this tutorial, you’ll use Python and Pandas to explore a dataset and create visual distributions, identify and eliminate outliers, and uncover correlations between two datasets.

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Workers’ Compensation Platform Uses Big Data For Better Outcomes

Smart Data Collective

We have talked extensively about the fields that rely most heavily on big data. The insurance industry is one of the companies investing the most in big data technology. Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry. The report showed that insurers spent $2.4 billion on big data in 2018 alone.

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Top KDnuggets tweets, Jul 31 – Aug 06: NLP vs. NLU: from Understanding a Language to Its Processing

KDnuggets

Also: Ten more random useful things in R you may not know about; 5 Probability Distributions Every Data Scientist Should Know; Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment; Programmers rejoice! Deep TabNine offer code autocompletion with #deeplearning.

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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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Smart Analysis of Pharma Research Literature Makes Novel Therapy Identification Easier

Ontotext

In the wake of the Industrial Revolution in Victorian Britain, a doctor drew a map to prove that cholera wasn’t air-borne as it was believed at the time and became one of the fathers of modern epidemiology. During a cholera outbreak in Soho in London in 1854, Dr. John Snow – Queen Victoria’s anesthesiologist – created a map with the cholera deaths and identified a water pump as the common factor and the culprit for the deadly disease outbreak.

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Get Augmented Analytics Advantages Now!

Smarten

Do You Know the Benefits of Advanced Analytics? Find out Now! The benefits of advanced analytics are many and the current support in the market for business user access and data insight provides expanded advantages of advanced analytics. Access to these crucial tools is no longer limited to IT and data scientists or analysts. Business users can leverage Augmented Analytics advantages by using tools that make suggestions and recommendations to help a user decide how to visualize data, which algor

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KDnuggetsâ„¢ News 19:n29, Aug 7: What 70% of Data Science Learners Do Wrong; Pytorch Cheat Sheet for Beginners

KDnuggets

This week on KDnuggets: What 70% of Data Science Learners Do Wrong; Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree; How a simple mix of object-oriented programming can sharpen your deep learning prototype; Can we trust AutoML to go on full autopilot?; Ten more random useful things in R you may not know about; 25 Tricks for Pandas; and much more!

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Data Governance Solutions for Data Compliance

Octopai

In the entire history of business, dealing with data has never been easier thanks to advances in computer processing, storage, and networking. Things to consider for Data Compliance: – Acquisition: What was at one time a painstaking manual process of transcribing handwritten information from comment cards, surveys, contest entries, and more has become almost fully automated.

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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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Smart Analysis of Pharma Research Literature Makes Novel Therapy Identification Easier

Ontotext

In the wake of the Industrial Revolution in Victorian Britain, a doctor drew a map to prove that cholera wasn’t air-borne as it was believed at the time and became one of the fathers of modern epidemiology. During a cholera outbreak in Soho in London in 1854, Dr. John Snow – Queen Victoria’s anesthesiologist – created a map with the cholera deaths and identified a water pump as the common factor and the culprit for the deadly disease outbreak.

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Being Liquid Is Not Enough; Companies Must Also be Non-Viscous

Data Virtualization

Everything changes so fast, knowing how to adapt is no longer an option but a necessity. Companies now operate in a market that not only moves at an impressive speed, but also changes shape with the same speed. These changes.

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The Next Frontier – Invisible Licensing for your ROBO and VDI environments

Nutanix

Nutanix is introducing new consumption models for specific use cases to provide another option to capacity-based (CBL) and appliance licensing, giving you the flexibility to bring different Nutanix software together in a way that is simple to plan, price, and purchase. The two new use cases are virtual desktop infrastructure (VDI) and remote office/branch office (ROBO) deployments.

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Tutorial: Complete a Kaggle Data Science Competition Fast

Dataiku

At Dataiku, every new member of the team, either marketer or superstar data scientist, learns the Dataiku platform with the Titanic Kaggle Competition. It's such a milestone in the company that our first meeting room was named after it! So here’s a tutorial first Kaggle submission in 5 minutes!

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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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Cloud Analytic Migrations with Microsoft, Informatica & Teradata?

Teradata

Teradata partners Microsoft & Informatica announced that they are taking on cloud analytic migrations. Find out what this means for our on-premises customers.

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What is a data warehouse and why does your business need one?

3AG Systems

As any good tradesperson knows, you need the right tool for the job. Just ask someone who’s used a screwdriver to assemble furniture how much they would pay for a power drill. The same holds true for working with data. Today, many companies dive into machine learning, advanced analytics, or other buzzword-heavy projects with the goal of getting ahead of competitors.