Tue.Aug 27, 2019

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A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic)

Analytics Vidhya

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google. The post A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic) appeared first on Analytics Vidhya.

Analytics 307
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The secret sauce for growing from a data analyst to a data scientist

KDnuggets

Despite the increasing demand and appetite for experienced data scientists, the job is ambiguously described most of the times. Also, the delineation between data science and data analytics or engineering is still loosely defined by a lot of hiring managers.

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Bots Bots Bots: Introducing Robotic Process Automation (RPA)

DataRobot Blog

by Jen Underwood. Bots here, there, everywhere. All around the world, RPA bots are actively automating busywork. The hot RPA market is growing at a compound annual growth rate of 65%. In 2018, Read More.

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TensorFlow 2.0: Dynamic, Readable, and Highly Extended

KDnuggets

With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates and how to get started on the machine learning platform.

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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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How To Improve Cybersecurity With Data Science

Smart Data Collective

Are you startled by the rise of cyberattacks globally ? Well, your business is not immune to these attacks, and you should never be complacent with your existing security measures. There is a need to employ professionals to handle the security aspect of your business. Some of the people that will give high-level ideas on your security systems include data scientists, ethical hackers, and IT professionals.

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Introducing AI Explainability 360: A New Toolkit to Help You Understand what Machine Learning Models are Doing

KDnuggets

Recently, AI researchers from IBM open sourced AI Explainability 360, a new toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.

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Using data across a hybrid environment to train machine learning models

IBM Big Data Hub

Machine learning (ML) is rapidly helping businesses derive better insight and optimize their day-to-day operations. Yet an ML model is only as good as the data used to train and continually improve it. With the majority of enterprise companies already using a hybrid cloud, accessing domain-specific data you need can be challenging.

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Big Data Reveals Surprising Insights Into Phone Payments

Smart Data Collective

Big data has helped us learn more about the changing nature of the economy. A growing number of digital firms are using machine learning to discover insights into the nature of the new world of commerce. One of the newest trends is the role of phone payments for a variety of services, especially those conducted online. New Hadoop and other data extraction tools have provided a great deal of information about these trends.

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Is Finance Holding Back Your Bank’s Digital Transformation?

Teradata

How can a Digital CFO break down the silos in the Bank and support the digital agenda in transforming the customer journey? Read more from our experts!

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A Proven Template For Financing Data-Driven Startups

Smart Data Collective

Tech startups face a substantial amount of competition for business financing. Thankfully, there are still some sources of funding that are available to owners of tech startups. Quick business loans can help you avoid the competitive process of finding venture capital. That way, you have access to the business startup loans you need to actualize your business plans.

Finance 67
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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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Four areas retailers must analyze to stay ahead of the competition

Birst BI

Have you used a digital product or service while shopping in the past year? The answer is almost certainly “yes” and each time you are online, your actions generate data – from research, online ordering or in-store pickup, coupons, mobile payments, voice commands and more. The question is, how do retailers make the best use of this data to stay ahead of the competition?

Sales 40
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Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

by YI LIU Importance sampling is used to improve precision in estimating the prevalence of some rare event in a population. In this post, we explain how we use variants of importance sampling to estimate the prevalence of videos that violate community standards on YouTube. We also cover many practical challenges encountered in implementation when the requirement is to produce fresh and regular estimates of prevalence.

Metrics 98