insideBIGDATA

FEBRUARY 3, 2023

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.

Machine Learning 538

Machine Learning Machine Learning Big Data Big Data 538

Analytics Vidhya

FEBRUARY 1, 2023

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.

Predictive Analytics 397

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Machine Learning Mastery

JANUARY 30, 2023

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.

Deep Learning 357

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KDnuggets

JANUARY 30, 2023

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

Data Science 317

Data Science Python 317

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

insideBIGDATA

FEBRUARY 1, 2023

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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Analytics Vidhya

FEBRUARY 1, 2023

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.

Machine Learning 394

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KDnuggets

JANUARY 31, 2023

Kickstart your Machine Learning career with these curated GitHub repositories.

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insideBIGDATA

JANUARY 29, 2023

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.

Deep Learning 397

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Analytics Vidhya

FEBRUARY 2, 2023

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?

Natural Language Processing 349

Natural Language Processing Analytics Analytics Deep Learning 349

Cassie Kozyrkov

JANUARY 29, 2023

Let’s take a Midjourney around the world Continue reading on Towards Data Science »

Data Science 343

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

databricks

FEBRUARY 1, 2023

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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insideBIGDATA

FEBRUARY 1, 2023

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.

Data Observability 395

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Analytics Vidhya

FEBRUARY 3, 2023

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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KDnuggets

FEBRUARY 1, 2023

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

Python 294

Python 294

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

databricks

JANUARY 31, 2023

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

AI 262

AI AI 262

Dataconomy

JANUARY 30, 2023

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.

Artificial Intelligence 231

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Analytics Vidhya

JANUARY 29, 2023

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.

Artificial Intelligence 323

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KDnuggets

JANUARY 30, 2023

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

Python 299

Python 299

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.

Data Science

Hacker News

FEBRUARY 1, 2023

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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Dataconomy

JANUARY 30, 2023

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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Analytics Vidhya

JANUARY 30, 2023

Introduction Are you curious about how your camera phone automatically tags your photos with keywords or how Google Photos can sort your images by the objects in them? These abilities are made possible by a technique called Bag of Features (BoF). BoF is a powerful method used in computer vision and image processing that allows […] The post Bag of Features: Simplifying Image Recognition for Non-Experts appeared first on Analytics Vidhya.

Analytics 313

Analytics Analytics Algorithm Deep Learning 313

KDnuggets

JANUARY 31, 2023

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

Data Engineering 312

Data Engineering Data Engineer Data Engineering Data Engineering 312

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

Flipboard

FEBRUARY 1, 2023

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.

Deep Learning 180

Deep Learning Deep Learning 180

Dataconomy

FEBRUARY 3, 2023

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.

Artificial Intelligence 187

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Analytics Vidhya

FEBRUARY 2, 2023

Introduction ChatGPT is an AI-based tool that helps content writers and copywriters create content quickly and efficiently. It uses natural language processing (NLP) to understand user queries and generate relevant responses. With ChatGPT, content writers can save time by automatically generating answers to often-asked questions or creating content for their blogs in a fraction of […] The post Harnessing the Power of ChatGPT for Data Science appeared first on Analytics Vidhya.

Data Science 309

Data Science Natural Language Processing Analytics Analytics 309

KDnuggets

FEBRUARY 3, 2023

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 276

AI AI Artificial Intelligence Artificial Intelligence 276

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

Flipboard

FEBRUARY 3, 2023

Over the last few years, with the rapid growth of data, pipeline, AI/ML, and analytics, DataOps has become a noteworthy piece of day-to-day business New-age technologies are almost entirely running the world today. Among these technologies, big data has gained significant traction.

Big Data Analytics 178

Big Data Analytics Big Data Analytics Big Data Big Data 178

Hacker News

JANUARY 31, 2023

We’re launching a classifier trained to distinguish between AI-written and human-written text. We’ve trained a classifier to distinguish between text written by a human and text written by AIs from a variety of providers. While it is impossible to reliably detect all AI-written text, we believe good classifiers can inform mitigations for false claims that AI-generated text was written by a human: for example, running automated misinformation campaigns , using AI tools for academic

AI 141

AI AI 141

Analytics Vidhya

JANUARY 30, 2023

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Whether we are analyzing IoT data streams, managing scheduled events, processing document uploads, responding to database changes, etc. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

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KDnuggets

FEBRUARY 2, 2023

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

Decision Trees 290

Decision Trees Python Machine Learning Machine Learning 290

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.