insideBIGDATA

FEBRUARY 27, 2023

Welcome to insideBIGDATA’s Data Science 101 channel brining you perspectives for the topics of the day in data science, machine learning, AI and deep learning. Many of the video presentations come from my lectures for my Introduction to Data Science class I teach at UCLA Extension.

Data Science 273

Data Science Deep Learning Deep Learning Machine Learning 273

KDnuggets

MARCH 2, 2023

Learn Data Science in 2023 for FREE with these online courses.

Data Science 400

Data Science 400

Analytics Vidhya

MARCH 2, 2023

Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python. And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Given the length and breadth of third-party applications, your global environment […] The post Choosing the Right Python Environment Tool for Your Next Project appeared first on

Python 399

Python Analytics Analytics Data Science 399

Machine Learning Mastery

MARCH 2, 2023

PyTorch is a deep learning library. You can build very sophisticated deep learning models with PyTorch. However, there are times you want to have a graphical representation of your model architecture. In this post, you will learn: How to save your PyTorch model in an exchange format How to use Netron to create a graphical […] The post Visualizing a PyTorch Model appeared first on MachineLearningMastery.com.

Deep Learning 363

Deep Learning Deep Learning 363

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

MARCH 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 416

Big Data Big Data Cloud Data Database 416

Cassie Kozyrkov

FEBRUARY 25, 2023

The industry-wide neglect of data design and data quality (and what you can do about it) Continue reading on Towards Data Science »

Data Quality 349

Data Quality Data Science Artificial Intelligence Artificial Intelligence 349

KDnuggets

FEBRUARY 28, 2023

A gentle introduction of Plots.jl, Gadfly.jl, and VegaLite with code examples.

Data Visualization 316

Data Visualization 316

insideBIGDATA

MARCH 3, 2023

A new research paper shows that large-scale generative pretrained transformer (GPT) family models can be pruned to at least 50% sparsity in one-shot, without any retraining, at minimal loss of accuracy. This is achieved via a new pruning method called SparseGPT, specifically designed to work efficiently and accurately on massive GPT-family models.

Deep Learning 397

Deep Learning Deep Learning Data Science AI 397

databricks

FEBRUARY 27, 2023

Ray is a prominent compute framework for running scalable AI and Python workloads, offering a variety of distributed machine learning tools, large-scale hyperparameter.

Clustering 312

Clustering Machine Learning Machine Learning Python 312

Analytics Vidhya

MARCH 2, 2023

Introduction The advancement of interest in Deep Learning in recent years and the explosion of Machine Learning tools like TensorFlow, PyTorch, etc., will also be cited, which will provide ease of use and easy debugging of codes. Many popular frameworks such as MxNet, Tensorflow, Jax, PaddlePaddle, Caffe 2, Mindspore, and Theano will gain popularity because […] The post Pytorch Tensors and its Operations appeared first on Analytics Vidhya.

Deep Learning 364

Deep Learning Deep Learning Machine Learning Machine Learning 364

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

KDnuggets

MARCH 1, 2023

Learn how to optimize the queries written in SQL to make them execute faster and more memory efficient.

SQL 291

SQL 291

insideBIGDATA

FEBRUARY 28, 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 293

Big Data Big Data Machine Learning Data Science 293

Adrian Bridgwater for Forbes

FEBRUARY 26, 2023

Technology vendors build software applications, suites, tools & platforms to clinch sales deals with customers who pay them for their products, services and ongoing support and maintenance. The vendor is the seller and the purchasing organization is the customer. It’s that simple. Except not always.

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Analytics Vidhya

FEBRUARY 25, 2023

Introduction Artificial Intelligence is the ability of a computer to work or think like humans. So many Artificial Intelligence applications have been developed and are available for public use, and chatGPT is a recent one by Open AI. ChatGPT is an artificial intelligence model that uses the deep model to produce human-like text. It predicts […] The post Learning the Basics of Deep learning, ChatGPT, and Bard AI appeared first on Analytics Vidhya.

Deep Learning 364

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 364

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

KDnuggets

FEBRUARY 27, 2023

This article outlines the advantages of CatBoost as a GBDTs for interpreting data sources that are highly categorical or contain missing data points.

ML 291

ML ML Machine Learning Machine Learning 291

insideBIGDATA

MARCH 2, 2023

Researchers at the Max Planck Institute for Biological Cybernetics in Tübingen have examined the general intelligence of the language model GPT-3, a powerful AI tool. Using psychological tests, they studied competencies such as causal reasoning and deliberation, and compared the results with the abilities of humans. Their findings, in the paper "Using cognitive psychology to understand GPT-3" paint a heterogeneous picture: while GPT-3 can keep up with humans in some areas, it falls behind in oth

AI 273

AI AI Big Data Big Data 273

databricks

MARCH 1, 2023

Spark Structured Streaming is the widely-used open source engine at the foundation of data streaming on the Databricks Lakehouse Platform. It can elegantly.

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Analytics Vidhya

FEBRUARY 28, 2023

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations. Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya.

Data Science 353

Data Science Data Preparation Big Data Big Data 353

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

KDnuggets

FEBRUARY 27, 2023

How you can improve your data warehousing ETL process with these simple practices.

ETL 291

ETL Data Engineering Data Engineering Data Engineering 291

Adrian Bridgwater for Forbes

MARCH 3, 2023

The supply chain of the future will run on is a more concerted application of AI & ML to drive operational decisions. If we accept this new part of logistical engineering, then how will ML drive the new robot supply chain workers that we all need and what governing factors do we need to think about?

ML 246

ML ML AI AI 246

databricks

FEBRUARY 28, 2023

In a recent Manufacturing survey by Omdia, sponsored by Databricks [1], one of the questions asked was "what are the challenges slowing and.

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Analytics Vidhya

FEBRUARY 28, 2023

Introduction Apache Spark is a powerful big data processing engine that has gained widespread popularity recently due to its ability to process massive amounts of data types quickly and efficiently. While Spark can be used with several programming languages, Python and Scala are popular for building Spark applications. Both languages offer unique advantages and have […] The post Python vs Scala for Apache Spark – Which is Better?

Python 347

Python Big Data Big Data Analytics 347

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?

KDnuggets

MARCH 3, 2023

Learn about data modeling tools to create, design and manage data models, allowing data scientists to access and use them more quickly.

Data Models 271

Data Models Data Modeling Data Scientist Data Engineering 271

insideBIGDATA

MARCH 1, 2023

In this special guest feature, Arnold Liwanag, TealBook's Chief Technology Officer, highlights the top three reasons to utilize AI when searching for new and diverse suppliers in the ever changing marketplace. The current supply chain landscape of manufacturing disruptions and availability issues is not going away any time soon. An enterprise has to pivot quickly to find new, diverse suppliers, but the supplier data they are referencing is likely out of date or incorrect.

AI 243

AI AI Big Data Big Data 243

databricks

MARCH 2, 2023

This post is a continuation of the Disaster Recovery Overview, Strategies, and Assessment and Disaster Recovery Automation and Tooling for a Databricks Workspace.

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Analytics Vidhya

FEBRUARY 25, 2023

Introduction Welcome to the fascinating world of stock market anomaly detection! In this project, we’ll dive into the historical data of Google’s stock from 2014-2022 and use cutting-edge anomaly detection techniques to uncover hidden patterns and gain insights into the stock market. By identifying outliers and other anomalies, we aim to understand stock market trends […] The post Anomaly Detection on Google Stock Data 2014-2022 appeared first on Analytics Vidhya.

Analytics 343

Analytics Analytics Data Visualization Data Analysis 343

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

KDnuggets

MARCH 2, 2023

Tips to help you plan and execute your data science projects efficiently and successfully.

Data Science 271

Data Science 271

Adrian Bridgwater for Forbes

FEBRUARY 27, 2023

Now that we’re building the modern age of networks with neural nodes underpinned by the data plane layers fed by cloud computing backbones, some of the theories are the same, but many of the enabling technologies are different.

Cloud Computing 211

Cloud Computing 211

Data Science Dojo

MARCH 2, 2023

Data analytics is the driving force behind innovation, and staying ahead of the curve has never been more critical. That is why we have scoured the landscape to bring you the crème de la crème of data analytics conferences in 2023. Data analytics conferences provide an essential platform for professionals and enthusiasts to stay current on the latest developments and trends in the field.

Analytics 195

Analytics Analytics Predictive Analytics Big Data 195

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Visualizing data is both an art form and a science. Some books provide their best case on creating a compelling narrative for what makes visualization appealing. Still, these texts may fall short since oftentimes; the research is based on survey data (which does not always reflect truth). The science behind most of these texts […] The post How to Create Compelling Visualization?

Analytics 338

Analytics Analytics Data Visualization Data Analysis 338

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!