Sat.Jan 07, 2023 - Fri.Jan 13, 2023

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Where Collaboration Fails Around Data (And 4 Tips for Fixing It)

KDnuggets

Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.

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Roadmap to Adopting and Implementing MLOps in Organizations

Analytics Vidhya

Introduction Welcome to the world of MLOps, or Machine Learning Operations! If you’re an industry specialist looking to understand MLOps and how it can benefit your organization, then you’re at the right place. MLOps, or Machine Learning Operations, is a set of practices and techniques that enables an organization to effectively build, deploy, and manage […].

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6 data science projects to boost your data science portfolio

Data Science Dojo

In this blog, we will discuss the latest 6 projects that can escalate your data science career and boost your data science portfolio in a competitive era. With modern analytics tools becoming easier than ever, one needs to do something more than being able to train a model or plot a graph to stand out from the crowd. While using these tools is easier than ever, building something that is impactful and of good quality is not easy and takes practice.

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Neural Network with More Hidden Neurons

Machine Learning Mastery

Last Updated on January 10, 2023 The traditional model of neural network is called multilayer perceptrons. They are usually made up of a series of interconnected layers. The input layer is where the data enters the network, and the output layer is where the network delivers the output. The input layer is usually connected to […] The post Neural Network with More Hidden Neurons appeared first on MachineLearningMastery.com.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

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3 Things I Wish I Knew When I Started Data Science

KDnuggets

Looking back and realizing how I was wrong about the data science career.

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Machine Learning Solution Predicting Road Accident Severity

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This is a multiclass classification project to classify the severity of road accidents into three categories. This project is based on real-world data, and the dataset is also highly imbalanced. There are three types of injuries in a target variable: minor, severe, […].

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The Real-Time AI Data Race Is On

Adrian Bridgwater for Forbes

We don’t just need more intelligence, we need it according to specific vectors. Key among those vectors are AI at scale, AI that is validated, secured and bias-free (aka explainable AI) and AI engines that are capable of computation analysis in real-time.

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7 Best Platforms to Practice SQL

KDnuggets

Looking to level up your SQL skills? Here's a list of the best platforms to practice SQL, ace your SQL interviews, and land your dream data role.

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Top 11 Interview Questions About Transformer Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] Imagine you’re a member of an elite team of experts tasked with understanding and communicating with a group of alien robots. These robots have landed on Earth and are causing destruction and chaos, and it’s up to you to fathom […]. The post Top 11 Interview Questions About Transformer Networks appeared first on Analytics Vidhya.

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The Impact of Data and AI on a Modern Business

databricks

It is no secret that there has been an explosion of data in the past 10 years. As per Forbes, from 2010 to.

AI 261
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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Chinchilla AI is coming for the GPT-3’s throne

Dataconomy

Chinchilla AI is yet another example of AI language model, claimed to outperform GPT-3. Yes, you heard right. The engine behind the ChatGPT is outperformed by DeepMind’s new language model. The news spread rapidly, and soon everyone wondered: “What is Chinchilla AI?” Are you one of them? You came to the right place. As always, we continue […].

AI 254
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Overcome Your Data Quality Issues with Great Expectations

KDnuggets

Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.

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How to Launch First Amazon Elastic MapReduce (EMR)?

Analytics Vidhya

Introduction Amazon Elastic MapReduce (EMR) is a fully managed service that makes it easy to process large amounts of data using the popular open-source framework Apache Hadoop. EMR enables you to run petabyte-scale data warehouses and analytics workloads using the Apache Spark, Presto, and Hadoop ecosystems. Amazon Elastic MapReduce (EMR) is designed to be flexible […].

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Databricks Power BI Connector Now Supports Native Query

databricks

This is a collaborative post from Databricks and Microsoft. We thank Mahesh Prakriya (Director in Intelligence Platform, Microsoft) and Bob Zhang (Sr. Technical.

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How to Modernize Manufacturing Without Losing Control

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

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How To Use Software Microservices

Adrian Bridgwater for Forbes

In the pleasingly disaggregated world of the web and the cloud computing network that weaves throughout it, we are making increasing use of smaller incremental (often reusable) components and microservices.

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Google Data Analytics Certification Review for 2023

KDnuggets

What is the Google Data Analytics Certification? And, more importantly, is it still worth getting it in 2023?

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What is the Role of a Mentor in Your Data Science Journey?

Analytics Vidhya

Source: istockphoto Introduction Data Science is a fast-booming domain that has seen exponential growth in recent years. It involves collecting, processing, and analysing data using math, statistics, specialized programming, artificial intelligence, machine learning, and more. Source: istockphoto Although Data Science has expanded beyond the IT and CS sectors and is now a part of almost […].

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Supercharging H3 for Geospatial Analytics

databricks

On the heels of the initial release of H3 support in Databricks Runtime (DBR), we are happy to share ground-breaking performance improvements with.

Analytics 246
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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

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.

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Mirantis Details Key Factors Behind Virtual Machine Growth

Adrian Bridgwater for Forbes

An instance of abstracted virtualized compute capacity described and defined to run on a cloud server in a datacenter, a virtual machine can be established to run some, all or indeed more functions than any single physical computer.

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Performing a T-Test in Python

KDnuggets

An introduction to the t-test with python implementation.

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Data Science Blogathon 28th Edition

Analytics Vidhya

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […]. The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya.

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Better Data for Better Decisions in the Public Sector Through Entity Resolution - Part 1

databricks

One of the domains where better decisions mean a better society is the Public Sector. Each and every one of us has a.

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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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Applying machine learning in financial markets: A review of state-of-the-art methods

Dataconomy

Is it possible to predict the stock market using an AI-based stock price prediction system? Can machine learning truly be used for stock prediction? Stock markets are characterized by their instability, changing nature, and lack of a clear pattern. Predicting stock prices is difficult because of a variety of factors like politics, the global economy, […].

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Topic Modeling Approaches: Top2Vec vs BERTopic

KDnuggets

This post gives an overview of the strengths and differences of these approaches in extracting topics from text.

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Power of Latent Diffusion Models: Revolutionizing Image Creation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Are you tired of spending hours creating detailed and realistic images from scratch? Look no further! Artificial intelligence has made tremendous progress in recent years, and one area where it has shown particular promise is in the generation of images from text descriptions. […].

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Building a Single Layer Neural Network in PyTorch

Machine Learning Mastery

Last Updated on January 10, 2023 A neural network is a set of neuron nodes that are interconnected with one another. The neurons are not just connected to their adjacent neurons but also to the ones that are farther away. The main idea behind neural networks is that every neuron in a layer has one […] The post Building a Single Layer Neural Network in PyTorch appeared first on MachineLearningMastery.com.

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How to Achieve High-Accuracy Results When Using LLMs

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

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Streaming in Production: Collected Best Practices, Part 2

databricks

In our two-part blog series titled "Streaming in Production: Collected Best Practices," this is the second article. Here we discuss the "After Deployment".

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Approaches to Data Imputation

KDnuggets

This guide will discuss what data imputation is as well as the types of approaches it supports.

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Creating a Robust MLOps Model for your Organization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to analyze large amounts of data and make predictions or decisions based on the insights gained. However, developing and deploying machine learning models can be […].

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DoNotPay AI lawyer is ready to give $1 million for any case in US

Dataconomy

DoNotPay AI lawyer wants to fight corporations, beat bureaucracy, and sue anyone for you! Wait, a robot lawyer? Yes, you heard right. The startup DoNotPay calls itself the “world’s first robot lawyer,” and it wants to use artificial intelligence to represent two defendants in upcoming speeding ticket hearings before judges next month. “The law is […].

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Apache Airflow® Best Practices: 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!