KDnuggets

JANUARY 9, 2023

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.

Data Engineering 399

Data Engineering Data Engineer Data Engineering Data Engineering 399

Analytics Vidhya

JANUARY 8, 2023

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 […].

Machine Learning 396

Machine Learning Machine Learning Analytics Analytics 396

Data Science Dojo

JANUARY 13, 2023

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.

Data Science 307

Data Science Natural Language Processing Azure Analytics 307

Machine Learning Mastery

JANUARY 9, 2023

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.

Deep Learning 299

Deep Learning Deep Learning 299

Advertisement

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

KDnuggets

JANUARY 13, 2023

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.

SQL 346

SQL 346

Analytics Vidhya

JANUARY 13, 2023

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, […].

Machine Learning 384

Machine Learning Machine Learning Data Science Analytics 384

Dataconomy

JANUARY 12, 2023

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

AI AI Artificial Intelligence Artificial Intelligence 254

KDnuggets

JANUARY 12, 2023

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.

Python 285

Python Data Science 285

Analytics Vidhya

JANUARY 9, 2023

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.

Data Science 342

Data Science Analytics Analytics Data Engineering 342

Machine Learning Mastery

JANUARY 7, 2023

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.

Deep Learning 230

Deep Learning Deep Learning 230

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Data Science Dojo

JANUARY 10, 2023

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.

Data Science 195

Data Science Data Scientist Data Analyst Data Engineering 195

KDnuggets

JANUARY 9, 2023

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 273

Python 273

Analytics Vidhya

JANUARY 11, 2023

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 […].

Apache Hadoop 323

Apache Hadoop Hadoop Data Warehouse Analytics 323

databricks

JANUARY 11, 2023

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 230

Power BI 230

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Dataconomy

JANUARY 11, 2023

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, […].

Machine Learning 235

Machine Learning Machine Learning AI AI 235

KDnuggets

JANUARY 12, 2023

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

Data Quality 310

Data Quality Data Engineering Data Engineer Data Engineering 310

Analytics Vidhya

JANUARY 10, 2023

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 […].

Data Science 318

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 318

Adrian Bridgwater for Forbes

JANUARY 12, 2023

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 201

AI AI Big Data Big Data 201

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

Dataconomy

JANUARY 12, 2023

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 […].

Artificial Intelligence 222

Artificial Intelligence Artificial Intelligence AI AI 222

KDnuggets

JANUARY 9, 2023

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

Data Science 372

Data Science 372

Analytics Vidhya

JANUARY 8, 2023

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.

Data Science 311

Data Science Analytics Analytics Hadoop 311

databricks

JANUARY 12, 2023

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 195

Analytics Analytics 195

Advertisement

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

Dataconomy

JANUARY 9, 2023

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.

Data Science 202

Data Science 202

KDnuggets

JANUARY 12, 2023

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

Analytics 309

Analytics Analytics Data Science 309

Analytics Vidhya

JANUARY 9, 2023

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 […].

Machine Learning 304

Machine Learning Machine Learning Data Science ML 304

Adrian Bridgwater for Forbes

JANUARY 10, 2023

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.

Cloud Computing 173

Cloud Computing 173

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

databricks

JANUARY 12, 2023

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

185

185

KDnuggets

JANUARY 11, 2023

Key Data Science, Machine Learning, AI and Analytics Developments of 2022 • Python Matplotlib Cheat Sheets • More Data Science Cheatsheets • Free Data Management with Data Science Learning with CS639 • Data-Driven Holiday Cheer: How Santa is Using Analytics to Make the Season Bright.

Data Science 233

Data Science Machine Learning Machine Learning Python 233

Analytics Vidhya

JANUARY 13, 2023

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. […].

Artificial Intelligence 302

Artificial Intelligence Artificial Intelligence Data Science Analytics 302

DrivenData Labs

JANUARY 11, 2023

The Challenge Mass spectrometers are now, and will continue to be, a key instrument for missions searching for life and habitability on other planets. The results of this GCMS challenge could not only support NASA scientists to more quickly analyze data, but is also a proof-of-concept of the use of data science and machine learning techniques on complex GCMS data for future missions.

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.