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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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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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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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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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 […].

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Top Posts January 2-8: Python Matplotlib Cheat Sheets

KDnuggets

Python Matplotlib Cheat Sheets • Free Data Management with Data Science Learning with CS639 • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Creating a Web Application to Extract Topics from Audio with Python • More Data Science Cheatsheets.

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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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Debunking the myths of Data Science: Clearing up top 7 misconceptions

Data Science Dojo

Data science myths are one of the main obstacles preventing newcomers from joining the field. In this blog, we bust some of the biggest myths shrouding the field. The US Bureau of Labor Statistics predicts that data science jobs will grow up to 36% by 2031. There’s a clear market need for the field and its popularity only increases by the day. Despite the overwhelming interest data science has generated, there are many myths preventing new entry into the field.

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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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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.

Power BI 242
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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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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 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.

AI 256
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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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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 Perform Unit Testing in Python?

KDnuggets

Unit testing is an important part of the software development life cycle as it helps to ensure that code is correct and working as intended. This article aims to introduce the concept of unit testing in Python and provide a basic tutorial on how to write and run unit tests using a unittest module.

Python 272
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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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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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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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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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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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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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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?

Analytics 336
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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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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 217
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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.

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The intersection of technology and engineering: Automation engineers

Dataconomy

Automation engineering is at the forefront of this shift towards data-driven and automated businesses. Automation engineers are responsible for designing and implementing the systems and technologies that enable companies to collect, process, and analyze data in real time. They also work to automate tasks and processes, helping businesses to operate more efficiently and effectively.

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Beginner’s Guide to Cloud Computing

KDnuggets

Learn how cloud computing works, different types of models, top cloud platforms, and applications.

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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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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.