What is Text Classification?
KDnuggets
JULY 28, 2022
We will define text classification, how it works, some of its most known algorithms, and provide data sets that might help start your text classification journey.
KDnuggets
JULY 28, 2022
We will define text classification, how it works, some of its most known algorithms, and provide data sets that might help start your text classification journey.
Analytics Vidhya
JULY 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction Have you ever tried predicting your favorite stock’s price action? A stock’s price action varies with the company’s fundamentals and technicals. Sentiments drive this action as well. But, can a person without the knowledge of technicals and fundamentals predict the price action?
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CIO Business Intelligence
JULY 28, 2022
For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. To deal with this hiring problem, they’ve had to get creative. They’re not just offering remote work and flexible hours.
KDnuggets
JULY 28, 2022
Learn about the k-nearest neighbours algorithm, one of the most prominent workhorse machine learning algorithms there is, and how to implement it using Scikit-learn in Python.
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.
CIO Business Intelligence
JULY 28, 2022
“As the father of four children, my thoughts naturally gravitate beyond my own lifetime. My family and I love the outdoors and it’s important to me that my kids and subsequent generations have the same opportunities to appreciate its beauty and the rich experiences it offers. But that depends on our ability and commitment to take care of it properly.” — Lou Corriero, Vice President of Cloud Technologies at IT Vortex.
KDnuggets
JULY 28, 2022
This book from Manning is full of techniques and best practices for writing readable and maintainable Python code, with careful cross-referencing that reveals how the same concept can be used in different contexts.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
JULY 28, 2022
Trying to anticipate and defend against these failures is the constant uphill battle that today’s engineers are up against. But it doesn’t have to be.
Dataiku
JULY 28, 2022
Following its stops in London and New York , the Everyday AI conference by Dataiku landed in Bengaluru on July 12, 2022. Over 400 data leaders and practitioners came together in person for the event, with an additional 850 tuning in via live stream (more on that later). Participants were given the opportunity to create new connections, take part in engaging sessions, and shine a spotlight on the Everyday AI revolution emerging in India.
KDnuggets
JULY 28, 2022
Bay Path’s Master’s in Cybersecurity prepares students to step into the workforce and assume immediate responsibility for the management and oversight of such systems.
CDW Research Hub
JULY 28, 2022
The C lient. MCN Group, LLC. MCN Group provides discount prescriptions to customers with no enrollment fees, claim forms, or deductibles services through their solution. The Challenge. MCN Group needed an Amazon Web Services (AWS) environment to host services that could meet their Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliance requirements.
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.
Nutanix
JULY 28, 2022
Managed Service Providers (MSPs) can find themselves caught between the IT supply chain crisis created by our current microchip shortage and the growing demands of customers expanding digital services globally.
Smart Data Collective
JULY 28, 2022
Bitcoin has experienced tremendous price volatility in recent months. Traders are struggling to make sense of these patterns. Fortunately, new predictive analytics algorithms can make this easier. The financial industry is becoming more dependent on machine learning technology with each passing day. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology.
Alation
JULY 28, 2022
The cloud is no longer synonymous with risk. There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. And adoption is so significant that many participants have earned notable market capitalization.
IBM Big Data Hub
JULY 28, 2022
Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively. This feature significantly increases the productivity of the data stewards who provide business context to data by ensuring data quality, usefulness and protection for broader consumption.
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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