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

KDnuggets

JANUARY 31, 2023

Kickstart your Machine Learning career with these curated GitHub repositories.

Machine Learning 400

Machine Learning Machine Learning 400

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 399

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Data Science Dojo

JANUARY 31, 2023

Big data is conventionally understood in terms of its scale. This one-dimensional approach, however, runs the risk of simplifying the complexity of big data. In this blog, we discuss the 10 Vs as metrics to gauge the complexity of big data. When we think of “ big data ,” it is easy to imagine a vast, intangible collection of customer information and relevant data required to grow your business.

Big Data 370

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Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

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.

Big Data 493

Big Data Big Data Cloud Data Database 493

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 363

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Cassie Kozyrkov

JANUARY 29, 2023

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

Data Science 353

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insideBIGDATA

JANUARY 30, 2023

In this contributed article, Noam Brezis, co-founder and CTO of Pecan AI, explores that because AutoML was born out of academia, in its current incarnation it is only built to simplify the model building process. This is likely the reason why existing AutoML solutions are finding challenges with scaling. Plus, these types of solutions are not incorporating the aspects of data prep and feature engineering, nor the model training, deployment and monitoring, which as a result slowing down adoption

Data Science 482

Data Science AI AI Big Data 482

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 342

Data Science Python 342

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 360

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Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

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

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

Deep Learning Deep Learning Big Data Big Data 397

KDnuggets

JANUARY 31, 2023

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

Data Engineering 332

Data Engineering Data Engineering Data Engineering Data Engineer 332

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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Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

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 293

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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

Data Observability Big Data Big Data Analytics 395

KDnuggets

JANUARY 30, 2023

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

Python 315

Python 315

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 337

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Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

Machine Learning Mastery

JANUARY 28, 2023

PyTorch provides a lot of building blocks for a deep learning model, but training loop is not part of them. It is a flexibility provided that you can do whatever you want during training, but some basic structure is universal across most use cases. In this post, you will see how to make a training […] The post Creating a Training Loop for PyTorch Models appeared first on MachineLearningMastery.com.

Deep Learning 271

Deep Learning Deep Learning 271

insideBIGDATA

JANUARY 31, 2023

Conversica, Inc., a leading provider of AI-powered conversation automation solutions for enterprise revenue teams, announced the findings of a new survey titled Chatbot Experience: How Satisfied Are Enterprise Buyers? The study found that while the majority of B2B buyers use chatbots when considering a business purchase (60%), the chat experience does not meet their expectations.

AI 370

AI AI Big Data Big Data 370

KDnuggets

FEBRUARY 1, 2023

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

Python 308

Python 308

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.

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Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

databricks

JANUARY 30, 2023

Databricks Notebooks offers a simple, unified environment for anyone building Data and AI products. Today we are excited to introduce updates to the.

Python 261

Python AI AI 261

insideBIGDATA

FEBRUARY 2, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Big Data 317

Big Data Big Data Machine Learning Machine Learning 317

KDnuggets

FEBRUARY 2, 2023

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

Decision Trees 301

Decision Trees Python Machine Learning Machine Learning 301

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 327

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Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

databricks

JANUARY 31, 2023

This is a collaborative post from Databricks and MIT. We thank Cesar Terrer, Assistant Professor at MIT, Civil and Environmental Engineering Department (CEE).

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insideBIGDATA

JANUARY 31, 2023

C3 AI (NYSE: AI), the Enterprise AI application software company, today announced the launch of the C3 Generative AI Product Suite with the release of its first product — C3 Generative AI for Enterprise Search.

AI 271

AI AI Big Data Big Data 271

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 279

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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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Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!