Analytics Vidhya

SEPTEMBER 24, 2019

Overview Google’s BERT has transformed the Natural Language Processing (NLP) landscape Learn what BERT is, how it works, the seismic impact it has made, The post Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework appeared first on Analytics Vidhya.

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KDnuggets

SEPTEMBER 23, 2019

Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.

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Dataconomy

SEPTEMBER 26, 2019

Before you start using the next amazing new femtech innovation, you may want to weigh the benefits against your right to privacy. You might want to think twice before accepting that sweet employer incentive for participating in health monitoring. Yes. Corporate wellness monitoring programs offer benefits, but they also have. The post The Rise Of “Menstrual Surveillance” and the Fight for Data Privacy in Women’s Health appeared first on Dataconomy.

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Data Science 101

SEPTEMBER 24, 2019

A number of new impactful open source projects have been released lately. Open Source Data Science Projects. Pythia – from Facebook for deep learning with vision and language, “such as answering questions related to visual data and automatically generating image captions “ InterpretML – from Microsoft, ” package for training interpretable models and explaining blackbox systems “ ML framework for Julia – from Alan Turing Institute, MLJ is a machine learni

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Analytics Vidhya

SEPTEMBER 22, 2019

Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply. The post How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy appeared first on Analytics Vidhya.

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Python Analytics Analytics Natural Language Processing 302

KDnuggets

SEPTEMBER 24, 2019

Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.

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Data Science 101

SEPTEMBER 26, 2019

I am putting together some of my own resources on Data Strategy. Here are a few of the top resources I found helpful so far. What is a Data Strategy? – various definitions of a data strategy The 5 essential Components of a Data Strategy – a detailed whitepaper(PDF) from SAS How to Create a Successful Data Strategy – a detailed report from MIT How Do You Develop a Data Strategy (including 6 steps) – by Bernard Marr, He has created more data strategies than anyone, so his a

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AI AI Data Governance Data Science 97

Analytics Vidhya

SEPTEMBER 25, 2019

Do we need to change the way we learn? Before you read any further, here is a sneak peak of our new experiential learning. The post Introducing “PocketML” – an Experiential Learning Platform for Data Science appeared first on Analytics Vidhya.

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KDnuggets

SEPTEMBER 23, 2019

We show, step-by-step, how to construct a single, generalized, utility function to pull images automatically from a directory and train a convolutional neural net model.

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Python 273

Smart Data Collective

SEPTEMBER 25, 2019

Data breaches are becoming more common in today’s society. Hackers know they can sell compromised information on the dark web or use it for purposes such as blackmail. However, encryption technology for data protection is widely available. It involves protecting information with cryptography via a scrambled code. Only people with the key to decode the data can read it.

Data Quality 89

Data Quality 89

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

DataCentric podcast

SEPTEMBER 25, 2019

A catch-up podcast as Moor Insights & Strategy technology analysts Matt Kimball & Steve McDowell run through a very news-filled September. The guys recap Red Hat Summit, Pure Accelerate, and also hit product announcements from Dell EMC, IBM, and Huawei, bemoan the dwindling quality of conference SWAG, and more. Much, much, more: Red Hat might be owned by IBM, but its about helping enterprises manage digital transformation, focused on where "opportunity and innovation intersect" S

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Analytics Vidhya

SEPTEMBER 23, 2019

Introduction TensorFlow is easily the most widely used deep learning framework right now. The idea behind TensorFlow (TF) has even spawned multiple products, such. The post DataHack Radio: All you Need to Know about TensorFlow with Google’s Paige Bailey appeared first on Analytics Vidhya.

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KDnuggets

SEPTEMBER 24, 2019

How can you keep your machine learning models and data organized so you can collaborate effectively? Discover this new tool set available for better version control designed for the data scientist workflow.

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Smart Data Collective

SEPTEMBER 26, 2019

Traditionally, the world of investing was bland and exclusive. Investment vehicles were not very different from one another and minimum capital requirements meant that even this was reserved for the few who had the means. Most ordinary people had to settle for a savings account at their local bank while some even opted to simply put their savings under their mattress.

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Big Data Big Data Data Mining Data Mining 82

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

DataRobot

SEPTEMBER 25, 2019

Recently, more than 200 delegates joined a DataRobot team of local and international staff in Sydney, Australia for the AI Experience Roadshow. As the GM for Asia Pacific, I kicked off the event by stating that the AI and machine learning revolution is transforming global and local economies, markets, and companies. As a disruptive technology, AI and machine learning can be difficult, though worthwhile.

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Machine Learning Machine Learning AI AI 13

KDnuggets

SEPTEMBER 26, 2019

Learn about the the current and future issues of data science and possible solutions from this interview with IADSS Co-founder, Dr. Usama Fayyad following his keynote speech at ODSC Boston 2019.

Data Science 246

Data Science Analytics Analytics 246

KDnuggets

SEPTEMBER 25, 2019

As a data scientist, you can get lost in your daily dives into the data. Consider this advice to be certain to follow in your work for being diligent and more impactful for your organization.

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Data Scientist Clean Data 242

KDnuggets

SEPTEMBER 26, 2019

This article provides a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.

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Python Analytics Analytics 251

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

KDnuggets

SEPTEMBER 26, 2019

This article shows you how to separate your customers into distinct groups based on their purchase behavior. For the R enthusiasts out there, I demonstrated what you can do with r/stats, ggradar, ggplot2, animation, and factoextra.

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Analytics Analytics 228

KDnuggets

SEPTEMBER 27, 2019

Take me out to the ballgame! Take me out to the crowd! For the 2,829 seasons that have been played for 101 baseball teams since 1880, which seasons were unlike any others? Using SAX Encoding to recognize patterns in time series data, the most special years in baseball can be found.

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KDnuggets

SEPTEMBER 26, 2019

Join the Crunch Data Conference in Budapest, Oct 16-18, with stellar speakers from companies like Facebook, Netflix and LinkedIn. Use the discount code ‘KDNuggets’ to save $100 off your conference ticket.

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Data Analyst Analytics Analytics Data Science 231

KDnuggets

SEPTEMBER 24, 2019

In this article, we’ll look at a couple of papers aimed at solving the problem of automated speech recognition with machine and deep learning.

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Deep Learning Deep Learning 249

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

KDnuggets

SEPTEMBER 25, 2019

Today, as companies have finally come to understand the value that data science can bring, more and more emphasis is being placed on the implementation of data science in production systems. And as these implementations have required models that can perform on larger and larger datasets in real-time, an awful lot of data science problems have become engineering problems.

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KDnuggets

SEPTEMBER 27, 2019

This live webinar, Oct 2 2019, will instruct data scientists and machine learning engineers how to build manage and deploy auto-adaptive machine learning models in production. Save your spot now.

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Machine Learning Machine Learning Data Scientist 211

KDnuggets

SEPTEMBER 23, 2019

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

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Machine Learning Machine Learning Analytics Analytics 209

KDnuggets

SEPTEMBER 23, 2019

Also: Explore the world of Bioinformatics with Machine Learning; My journey path from a Software Engineer to BI Specialist to a Data Scientist; 5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python; 10 Great Python Resources for Aspiring Data Scientists.

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Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

KDnuggets

SEPTEMBER 27, 2019

The article contains a brief introduction to various concepts related to Hierarchical clustering algorithm.

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Clustering Algorithm Python Machine Learning 265

KDnuggets

SEPTEMBER 25, 2019

Penn State’s fully online data analytics program uniquely prepares students to advance their career in data science. Penn State offers 3 intakes every year and reviews applications on a rolling basis. GMAT or GRE waivers are available to highly qualified candidates. Learn more now.

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Data Science Analytics Analytics 205

KDnuggets

SEPTEMBER 24, 2019

Of all data quality characteristics, we consider consistency and accuracy to be the most difficult ones to measure. Here, we describe the challenges that you may encounter and the ways to overcome them.

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Data Quality 191

KDnuggets

SEPTEMBER 25, 2019

This article covers the beta distribution, and explains it using baseball batting averages.

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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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