Sat.Jan 28, 2023 - Fri.Feb 03, 2023

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Anomaly Detection: Its Real-Life Uses and the Latest Advances

insideBIGDATA

In this contributed article, Al Gharakhanian, Machine Learning Development Director, Cognityze, takes a look at anomaly detection in terms of real-life use cases, addressing critical factors, along with the relationship with machine learning and artificial neural networks.

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Use of ML in HealthCare: Predictive Analytics and Diagnosis

Analytics Vidhya

Introduction Do you know that the majority of medical errors are caused by misdiagnosis? Because many diseases have similar symptoms, which is difficult for doctors to give accurate results. The main reasons for misdiagnosis are a lack of experienced doctors, lack of time with patients, lack of resources, etc. What if some technology can overcome […] The post Use of ML in HealthCare: Predictive Analytics and Diagnosis appeared first on Analytics Vidhya.

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How to Evaluate the Performance of PyTorch Models

Machine Learning Mastery

Designing a deep learning model is sometimes an art. There are a lot of decision points and it is not easy to tell what is the best. One way to come up with a design is by trial and error and evaluating the result on real data. Therefore, it is important to have a scientific […] The post How to Evaluate the Performance of PyTorch Models appeared first on MachineLearningMastery.com.

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Top Posts January 23-29: The ChatGPT Cheat Sheet

KDnuggets

The ChatGPT Cheat Sheet • ChatGPT as a Python Programming Assistant • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.

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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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Heard on the Street – 2/1/2023

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

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Future of AI and Machine Learning in Cybersecurity

Analytics Vidhya

Introduction Artificial Intelligence (AI) and Machine Learning (ML) have rapidly become some of the most important technologies in the field of cybersecurity. With the increasing amount of data and sophisticated cyber threats, AI and ML are being used to strengthen the security of organizations and individuals. AI and ML are used to analyze large amounts of […] The post Future of AI and Machine Learning in Cybersecurity appeared first on Analytics Vidhya.

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Learn Machine Learning From These GitHub Repositories

KDnuggets

Kickstart your Machine Learning career with these curated GitHub repositories.

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@insideBIGDATApodcast: ChatGPT – The Human AI Partnership

insideBIGDATA

Welcome to the insideBIGDATA series of podcast presentations, a highly curated collection of topics relevant to our global audience. Topics include big data, data science, machine learning, AI, and deep learning. Enjoy! For this installment, we bring you the second episode of Fireside Chatbots featuring Greylock general partner Reid Hoffman and ChatGPT, the large language model created by OpenAI.

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How to Build a Chatbot using Natural Language Processing?

Analytics Vidhya

Introduction Chatbots are becoming increasingly popular as businesses seek to automate customer service and streamline interactions. Building a chatbot can be a fun and educational project to help you gain practical skills in NLP and programming. This beginner’s guide will go over the steps to build a simple chatbot using NLP techniques. In this guide, […] The post How to Build a Chatbot using Natural Language Processing?

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Creating Health Plan Price Transparency in Coverage With the Lakehouse

databricks

What is price transparency and what challenges does it present? In the United States, health care delivery systems and health plans alike are.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Python String Matching Without Complex RegEx Syntax

KDnuggets

Learn how to use human-friendly programmable regular expressions for complex Python string matching.

Python 316
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The Real Value of Data Observability

insideBIGDATA

In this special guest feature, Andy Petrella, CPO and founder of Kensu, points out that as application observability became a central element for DevOps teams, data observability is set to follow the same path and help data teams to lower maintenance costs, scale up value creation from data, and maintain trust in it.

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5 Real-World Examples on How AI is Transforming Web3

Analytics Vidhya

Introduction Which technologies do you think will dominate the future? AI, Blockchain, or Web 3.0? Or is it all of these? There’s no doubt that new technologies like AI & Web3 come with the potential to change the digital society. Artificial Intelligence (AI) is human-like intelligence shown by machines trained by feeding data. On the contrary, […] The post 5 Real-World Examples on How AI is Transforming Web3 appeared first on Analytics Vidhya.

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Five Challenges CIOs Need to Overcome in the New Year

databricks

As IT leaders kick off the new year during one of the most tumultuous times in recent history, CIOs are being forced to.

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Marketing Operations in 2025: A New Framework for Success

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.

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10 Pandas One Liners for Data Access, Manipulation, and Management

KDnuggets

These 10 one liners will help you start to access, manipulate, and manage data using Pandas.

Python 323
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Nvidia Eye Contact AI can be the savior of your online meetings

Dataconomy

Nvidia Eye Contact AI will rock the streaming world. A new Nvidia Broadcast app feature, The Nvidia Eye Contact, uses artificial intelligence (AI) to simulate how your eyes would appear if you were looking at the camera.

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Interview Questions on Support Vector Machines

Analytics Vidhya

Introduction Support vector machines are one of the most widely used machine learning algorithms known for their accuracy and excellent performance on any dataset. SVM is one of the algorithms that people try on almost any kind of dataset, and due to the nature and working mechanism of the algorithm, it learns from the data […] The post Interview Questions on Support Vector Machines appeared first on Analytics Vidhya.

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The Market for Lemons

Hacker News

For most of the past decade, I have spent a considerable fraction of my professional life consulting with teams building on the web. It is not going well. Not only are new services being built to a self-defeatingly low UX and performance standard, existing experiences are pervasively re-developed on unspeakably slow, JS-taxed stacks. At a business level, this is a disaster, raising the question: "why are new teams buying into stacks that have failed so often before?

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Tapping into the Potential of Data Products in 2023

KDnuggets

Learn how data can be treated as a product and how it can be used to derive value.

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Fostering a culture of innovation through digital maturity

Dataconomy

As businesses increasingly rely on technology to drive growth and innovation, the concept of “digital maturity” has become increasingly important. But what exactly does it mean to be digitally mature? This guide will explore the key elements of digital maturity and provide actionable steps for organizations looking to improve in this area.

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Kubeflow: Streamlining MLOps With Efficient ML Workflow Management

Analytics Vidhya

Introduction Kubeflow is an open-source platform that makes it easy to deploy and manage machine learning (ML) workflows on Kubernetes, a popular open-source system for automating containerized applications’ deployment, scaling, and management. Kubeflow can help you run machine learning tasks on your computer by making it easy to set up and manage a cluster of […] The post Kubeflow: Streamlining MLOps With Efficient ML Workflow Management appeared first on Analytics Vidhya.

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Artificial Intelligence's New Role In Medicine, Finance And Other Industries - How Computer Learning Is Changing Every Corner Of The Market

Flipboard

Key takeaways With the power of AI, computers can perform tasks that used to require a human • Medicine, finance and customer service are now utilizing AI-based tools to improve operations • AI has recently started to impact other industries, like research and education, as professionals try to figure out …

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The Cloud Development Environment Adoption Report

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.

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AI is Not Here to Replace Us

KDnuggets

Is the fear of AI replacing humans justified? Here we have a look at what AI is good for and what it isn’t.

AI 281
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Google starts testing its ChatGPT rival AI chatbot called Apprentice Bard

Dataconomy

The new Google ChatGPT rival is here: Apprentice Bard AI. The Google team is now beta-testing an artificial intelligent chatbot called “Apprentice Bard” which generates similar responses to ChatGPT. Google has been declared the code red about the ChatGPT threat for some time now, focusing on AI.

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Neuro Symbolic AI: Enhancing Common Sense in AI

Analytics Vidhya

Introduction Since ancient times, humans have been obsessed with creating thinking machines. As a result, numerous researchers have focused on creating intelligent machines throughout history. For example, researchers predicted that deep neural networks would eventually be used for autonomous image recognition and natural language processing as early as the 1980s.

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Introducing ChatGPT Plus for advanced users

Hacker News

We’re launching a pilot subscription plan for ChatGPT, a conversational AI that can chat with you, answer follow-up questions, and challenge incorrect assumptions. The new subscription plan, ChatGPT Plus, will be available for $20/month, and subscribers will receive a number of benefits: General access to ChatGPT, even during peak times Faster response times Priority access to new features and improvements ChatGPT Plus is available to customers in the United States, and we will begin the

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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Understanding by Implementing: Decision Tree

KDnuggets

Learn how a Decision Tree works and implement it in Python.

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Building a Multiclass Classification Model in PyTorch

Flipboard

PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this tutorial, you will discover how to use PyTorch to develop and evaluate neural network models for multi-class classification problems. After completing this step-by-step tutorial, you will know: How to load data from CSV and […] The post Building a Multiclass Classification Model in PyTorch appeared first on MachineLearningMastery.com.

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Getting Started with The Basics of Docker

Analytics Vidhya

Introduction “Let’s containerize your code to ship worldwide!” If you read the above quote, you must think, what does this all mean? Well, my friend, this is what Docker is. Let me explain it with an example. Say Harish and Lisa are two people working on the same project but on two different systems(say windows and […] The post Getting Started with The Basics of Docker appeared first on Analytics Vidhya.

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How We Reduced Our iOS App Launch Time by 60%

Hacker News

App startup time is a critical metric for users, as it’s their first interaction with the app, and even minor improvements can have significant benefits for the user experience. First impressions are a big driver in consumer conversion, and startup times often indicate the app’s overall quality. Furthermore, other companies found that an increase in latency equals a decrease in sales.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.