2023

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5 Advance Projects for Data Science Portfolio

KDnuggets

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

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9 key probability distributions in data science: Easy explanation

Data Science Dojo

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.

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A Day in the Life of a Senior Data Scientist

Matt Przybyla

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

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Millions of new materials discovered with deep learning

DeepMind

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.

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The 2nd Generation of Innovation Management: A Survival Guide

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?

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Five ways artificial intelligence is rapidly changing our world

Flipboard

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.

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ChatGPT Enterprise — To Go Where No LLM Has Gone Before

Towards AI

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.

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Three Next-Generation Data Architectures: How Cloud, Mesh, and Data Fabrics Impact your AI Deployments

insideBIGDATA

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
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A Comprehensive Guide to Implement HuggingFace Models Using Langchain

Analytics Vidhya

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
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LLM Inference Performance Engineering: Best Practices

databricks

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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Video Highlights: Introduction to Explainable AI

insideBIGDATA

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
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Apache Airflow®: The Ultimate Guide to DAG Writing

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!

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Google Cloud Unveils Its 2023 Data and AI Trends Report

insideBIGDATA

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
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Book Review: Math for Deep Learning

insideBIGDATA

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.

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AI Under the Hood: Interactions

insideBIGDATA

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.

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3 Tips for Maximizing Confidential Data in 2023

insideBIGDATA

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
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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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Book Review: Tree-based Methods for Statistical Learning in R

insideBIGDATA

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.

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Scale Zeitgeist: AI Readiness Report

insideBIGDATA

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.

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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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Close the Data Gap

insideBIGDATA

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
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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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Want Better AI? Get Input From a Real (Human) Expert

insideBIGDATA

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.

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Challenges for Startups in Adopting AI and Data Analytics

insideBIGDATA

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
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Heard on the Street – 6/5/2023

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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insideBIGDATA Latest News – 3/7/2023

insideBIGDATA

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.

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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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Busting Data Observability Myths

insideBIGDATA

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.

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Heard on the Street – 11/15/2023

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.

Big Data 493
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Research Highlights: Unveiling the First Fully Integrated and Complete Quantum Monte Carlo Integration Engine

insideBIGDATA

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
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Navigating Data Lake Challenges: Governance, Security, and GDPR Compliance

insideBIGDATA

In this contributed article, Coral Trivedi, Product Manager at Fivetran, discusses how enterprises can get the most value from a data lake. The article discusses automation, security, pipelines and GSPR compliance issues.

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Heard on the Street – 3/30/2023

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.

Big Data 495
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Video Highlights: Attention Is All You Need – Paper Explained

insideBIGDATA

In this video presentation, Mohammad Namvarpour presents a comprehensive study on Ashish Vaswani and his coauthors' renowned paper, “Attention Is All You Need.” This paper is a major turning point in deep learning research. The transformer architecture, which was introduced in this paper, is now used in a variety of state-of-the-art models in natural language processing and beyond.

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Understanding REST API: A comprehensive guide

Data Science Dojo

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.

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Heard on the Street – 5/3/2023

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.

Big Data 493
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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.