KDnuggets

MARCH 30, 2023

Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.

Natural Language Processing 440

Natural Language Processing Data Science Machine Learning Machine Learning 440

Data Science Dojo

OCTOBER 8, 2023

In the realm of data science, understanding probability distributions is crucial. They provide a mathematical framework for modeling and analyzing data. Understand the applications of probability in data science with this blog. 9 probability distributions in data science – Data Science Dojo Explore probability distributions in data science with practical applications This blog explores nine important data science distributions and their practical applications. 1.

Data Science 599

Data Science Clustering Data Scientist Data Analysis 599

Matt Przybyla

FEBRUARY 13, 2023

Including a rundown of a common step-by-step project outline Continue reading on Towards Data Science »

Data Scientist 108

Data Scientist Data Science Machine Learning Machine Learning 108

DeepMind

NOVEMBER 29, 2023

We share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials.

Deep Learning 176

Deep Learning Deep Learning 176

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

Flipboard

DECEMBER 31, 2023

The reach of generative artificial intelligence (AI) skyrocketed this year as tech companies raced to get ahead of each other while regulators and lawmakers looked to add guardrails.

Artificial Intelligence 181

Artificial Intelligence Artificial Intelligence AI AI 181

Towards AI

AUGUST 31, 2023

Last Updated on September 1, 2023 by Editorial Team Author(s): Cezary Gesikowski Originally published on Towards AI. OpenAI launches a business-oriented version of ChatGPT-4 This member-only story is on us. Upgrade to access all of Medium. image: Photo by Razvan Chisu on Unsplash | edited in PS Beta by the author OpenAI has just announced the launch of ChatGPT Enterprise.

AI 134

AI AI Machine Learning Machine Learning 134

insideBIGDATA

OCTOBER 17, 2023

In this contributed article, Mohan Rajagopalan, vice president and general manager at Hewlett Packard Enterprise, discusses how the ideal solution to siloed data is implementing a single data plane across a business. This unified system allows enterprises to realize the grand vision they have been promised: One where data from all sources and apps can be used together for the benefit of the business.

AI 588

AI AI Big Data Big Data 588

Analytics Vidhya

DECEMBER 26, 2023

Introduction Large Language Models have been the backbone of advancement in the AI domain. With the release of various Open source LLMs, the need for ChatBot-specific use cases has grown in demand. HuggingFace is the primary provider of Open Source LLMs, where the model parameters are available to the public, and anyone can use them […] The post A Comprehensive Guide to Implement HuggingFace Models Using Langchain appeared first on Analytics Vidhya.

Analytics 438

Analytics Analytics AI AI 438

databricks

OCTOBER 12, 2023

In this blog post, the MosaicML engineering team shares best practices for how to capitalize on popular open source large language models (LLMs).

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insideBIGDATA

MAY 12, 2023

Responsible AI is reaching new heights these days. Companies have started exploring Explainable AI as a means to explain the results better to senior leadership and increase their trust in AI Algorithms. This workshop presentation, conducted by Supreet Kaur, Assistant Vice President at Morgan Stanley, will entail an overview of this area, importance of it in today’s era, and some of the practical techniques that you can use to implement it.

AI 545

AI AI Algorithm Deep Learning 545

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

Data Science Dojo

MARCH 30, 2023

As technology advances, we continue to witness the evolution of web development. One of the most important aspects of web development is building web applications that interact with other systems or services. In this regard, the use of APIs (Application Programming Interfaces) has become increasingly popular. Amongst the different types of APIs, REST API has gained immense popularity due to its simplicity, flexibility, and scalability.

System Architecture 545

System Architecture Python Database 545

insideBIGDATA

FEBRUARY 22, 2023

Google Cloud worked with IDC on multiple studies involving global organizations across industries in order to explore how data leaders are successfully addressing key data and AI challenges. The company compiled the results in its 2023 Data and AI Trends report. In it, you'll find the metrics-rich research behind the top five data and AI trends, along with tips and customer examples for incorporating them into your plans.

AI 545

AI AI Big Data Big Data 545

insideBIGDATA

APRIL 11, 2023

One of my favorite learning resources for gaining an understanding for the mathematics behind deep learning is "Math for Deep Learning" by Ronald T. Kneusel from No Starch Press. If you're interested in getting quickly up to speed with how deep learning algorithms work at a basic level, then this is the book for you.

Deep Learning 542

Deep Learning Deep Learning Algorithm Data Science 542

insideBIGDATA

JANUARY 26, 2023

We asked our friends over at Interactions to do a deep dive into their technology. Mahnoosh Mehrabani, Ph.D., Interactions' Sr. Principal Scientist shared some fascinating information about how Interactions' Intelligent Virtual Assistants (IVAs) leverage advanced natural language understanding (NLU) models for "speech recognition" and "advanced machine learning.

Machine Learning 544

Machine Learning Machine Learning AI AI 544

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

insideBIGDATA

JANUARY 25, 2023

In this contributed article, Rishabh Poddar, Ph.D., CEO and Co-Founder of Opaque Systems, points out that $300 billion of the world’s most valuable data remains untapped due to the lack of a secure processing environment. With new tools and technology emerging, businesses need to know how to securely tap into their data and achieve business scalability.

Big Data 544

Big Data Big Data 544

insideBIGDATA

FEBRUARY 23, 2023

Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work.

Data Scientist 542

Data Scientist ML ML Big Data 542

Data Science Dojo

NOVEMBER 7, 2023

In today’s digital marketing world, things are changing fast. And AI in marketing is a big part of that. Artificial intelligence (AI) is rapidly transforming the marketing landscape, making it increasingly important for marketers to integrate AI into their work. How marketers can leverage AI AI can provide marketers with a number of benefits, including: Increased efficiency and productivity: AI can automate many time-consuming tasks, such as data analysis, content creation, and ad targeti

AI 528

AI AI Artificial Intelligence Artificial Intelligence 528

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

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

insideBIGDATA

APRIL 22, 2023

Our friends over at Scale are excited to introduce the 2nd edition of Scale Zeitgeist: AI Readiness Report! The company surveyed more than 1,600 executives and ML practitioners to uncover what’s working, what’s not, and the best practices for organizations to deploy AI for real business impact.

AI 536

AI AI ML ML 536

Data Science Dojo

NOVEMBER 10, 2023

Generative AI is a branch of artificial intelligence that focuses on the creation of new content, such as text, images, music, and code. This is done by training machine learning models on large datasets of existing content, which the model then uses to generate new and original content. Want to build a custom large language model ? Check out our in-person LLM bootcamp.

Python 524

Python Machine Learning Machine Learning AI 524

insideBIGDATA

MAY 19, 2023

In this contributed article, Sangeeta Krishnan highlights how a data gap refers to missing data about a particular area of interest. Data gaps are a problem for organizations of all sizes. They can be costly, frustrating and time consuming to fix. But with the right strategies and tools, you can identify where the problems lie and implement effective changes.

Big Data 530

Big Data Big Data 530

insideBIGDATA

MARCH 9, 2023

In this contributed article, Bal Heroor, CEO and Principal at Mactores, believes that by 2027, it is nearly unavoidable that every business, both big and small, will need to get serious about adopting a high-value data analytics system. While this can be a costly investment, there's no reason that even a startup can't be a part of the data transformation that is affecting almost every industry sector today.

Analytics 525

Analytics Analytics AI AI 525

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?

insideBIGDATA

DECEMBER 30, 2023

Scientists at the Department of Energy’s Pacific Northwest National Laboratory have put forth a new way to evaluate an AI system’s recommendations. They bring human experts into the loop to view how the ML performed on a set of data. The expert learns which types of data the machine-learning system typically classifies correctly, and which data types lead to confusion and system errors.

Machine Learning 511

Machine Learning Machine Learning ML ML 511

insideBIGDATA

JUNE 5, 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 519

Big Data Big Data Cloud Data Deep Learning 519

Data Science Dojo

SEPTEMBER 12, 2023

Sentiment analysis, a dynamic process, extracts opinions, emotions, and attitudes from text. Its versatility spans numerous realms, but one shining application is marketing. Here, sentiment analysis becomes the compass guiding marketing campaigns. By deciphering customer responses, it measures campaign effectiveness. The insights gleaned from this process become invaluable ammunition for campaign enhancement, enabling precise targeting and ultimately yielding superior results.

Natural Language Processing 513

Natural Language Processing Azure Machine Learning Machine Learning 513

insideBIGDATA

MARCH 7, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting.

Deep Learning 515

Deep Learning Deep Learning Big Data Big Data 515

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insideBIGDATA

JUNE 7, 2023

In this sponsored article, Rohit Choudhary, co-founder and CEO of Acceldata, breaks down four common myths and misconceptions around observability. In today’s economic climate, many companies are tightening their belts. They need solutions that help them run their business efficiently, smoothly, and reliably in order to maximize impact and keep customers happy.

Data Observability 509

Data Observability Big Data Big Data 509

Data Science Dojo

OCTOBER 2, 2023

ChatGPT made a significant market entrance, shattering records by swiftly reaching 100 million monthly active users in just two months. Its trajectory has since been on a consistent growth. Notably, ChatGPT has embraced a range of plugins that extend its capabilities, enabling users to do more than merely generate textual responses. What are ChatGPT Plugins?

Data Science 497

Data Science Machine Learning Machine Learning Data Analysis 497

insideBIGDATA

NOVEMBER 15, 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 Database Deep Learning 493

insideBIGDATA

SEPTEMBER 12, 2023

Quantinuum, a leading integrated quantum computing company has published full details of their complete Quantum Monte Carlo Integration (QMCI) engine. QMCI applies to problems that have no analytic solution, such as pricing financial derivatives or simulating the results of high-energy particle physics experiments and promises computational advances across business, energy, supply chain logistics and other sectors.

Analytics 493

Analytics Analytics Data Science Machine Learning 493

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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?

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