Sat.Jan 14, 2023 - Fri.Jan 20, 2023

article thumbnail

The insideBIGDATA IMPACT 50 List for Q1 2023

insideBIGDATA

The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

Big Data 482
article thumbnail

ChatGPT as a Python Programming Assistant

KDnuggets

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

Python 399
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What is Data Quality in Machine Learning?

Analytics Vidhya

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

article thumbnail

Building an Image Classifier with a Single-Layer Neural Network in PyTorch

Machine Learning Mastery

Last Updated on January 18, 2023 A single-layer neural network, also known as a single-layer perceptron, is the simplest type of neural network. It consists of only one layer of neurons, which are connected to the input layer and the output layer. In case of an image classifier, the input layer would be an image […] The post Building an Image Classifier with a Single-Layer Neural Network in PyTorch appeared first on MachineLearningMastery.com.

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

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?

article thumbnail

How Do Low-Code Developers Increase Business Value?

insideBIGDATA

In this special guest feature, Amy Groden-Morrison, VP of Marketing and Sales Operation for Alpha Software, examines the business value low-code developers offer and the challenges low-code development solves. A common misconception about low-code developers is that they’re not skilled enough to develop high-value apps with advanced features. However, prominent research suggests quite the contrary.

Big Data 416
article thumbnail

20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1

KDnuggets

Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

More Trending

article thumbnail

Why can’t AI draw realistic human hands?

Dataconomy

The AI drawing hands issue has been going on for so long that it has now become a running joke. If you don’t know yet, spoiler alert: AI can’t draw human hands or feet properly. AIs that can convert words to images appear miraculous.

AI 254
article thumbnail

insideBIGDATA Latest News – 1/20/2023

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.

article thumbnail

SQL and Data Integration: ETL and ELT

KDnuggets

In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources.

ETL 299
article thumbnail

AWS Lambda Tutorial: Creating Your First Lambda Function

Analytics Vidhya

Introduction to AWS AWS, or Amazon Web Services, is one of the world’s most widely used cloud service providers. It is a cloud platform that provides a wide variety of services that can be used together to create highly scalable applications. AWS has many clusters of data centers in multiple countries across the globe. These […]. The post AWS Lambda Tutorial: Creating Your First Lambda Function appeared first on Analytics Vidhya.

AWS 330
article thumbnail

Get Better Network Graphs & Save Analysts Time

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.

article thumbnail

In-person data science bootcamps are returning to Data Science Dojo

Data Science Dojo

Bellevue, Washington (January 11, 2023) – The following statement was released today by Data Science Dojo, through its Marketing Manager Nathan Piccini, in response to questions about future in-person bootcamps: “They’re back.” -DSD- Nothing can compare to Michael Jordan’s announcement in 1995 that he was returning to the NBA, but for Data Science Dojo (DSD), this comes close.

article thumbnail

Interview: David Willingham, Principal Product Manager, MathWorks

insideBIGDATA

I recently caught up with David Willingham, Principal Product Manager, MathWorks to discuss the evolution of data-centric AI and how engineers can best navigate – and benefit from – the transition to data-focused models within deep learning environments. As research into data-centric AI continues, we can expect best practice to evolve to suit a growing list of applications.

article thumbnail

Fast-track your next move with in-demand data skills

KDnuggets

DataCamp offers over 400 interactive courses, projects, and career tracks in the most popular data technologies such as Python, SQL, R, Power BI, and Tableau. Start today and save up to 67% on career-advancing learning.

Power BI 299
article thumbnail

Complete Guide to Ethereum Blockchain with Python

Analytics Vidhya

Introduction We have internet access in every corner of the country. Almost all businesses around us, like manufacturing, retail, consultancy, etc., are trying to go digital and display themselves on the web to scale and increase sales. If you want to know anything about your surroundings, then the internet is the first choice we prefer. […]. The post Complete Guide to Ethereum Blockchain with Python appeared first on Analytics Vidhya.

Python 328
article thumbnail

Understanding User Needs and Satisfying Them

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.

article thumbnail

Animating data science concepts: Overcoming challenges and improving efficiency in video production

Data Science Dojo

In this blog, we will explore some of the difficulties you may face while animating data science and machine learning videos in Adobe After Effects and how to overcome them. Animating data science and machine learning videos can be a challenging task, especially if you are using Adobe After Effects. While this software is a powerful tool for creating visual effects, it can be difficult to use if you are not familiar with its features and capabilities.

article thumbnail

Got It AI Develops AI to Identify and Address ChatGPT Hallucinations for Enterprise Applications

insideBIGDATA

Got It AI, the Autonomous Conversational AI company, announced an innovative new "Truth Checker" AI that can identify when ChatGPT is hallucinating (generating fabricated answers) when answering user questions over a large set of articles or knowledge base. This innovation makes it possible to deploy ChatGPT-like experiences without the risk of providing incorrect responses to users or employees.

AI 279
article thumbnail

How to Use Python and Machine Learning to Predict Football Match Winners

KDnuggets

We will be learning web scraping and training supervised machine-learning algorithms to predict winning teams.

article thumbnail

Data Science and Artificial Intelligence in 2023 – Difference, Applications, & Job Trajectory

Analytics Vidhya

Introduction Data Science and Artificial Intelligence (AI) are two of the most rapidly growing and exciting technological fields today. Both disciplines are revolutionizing how we process, analyze, and make sense of data to solve complex problems and make informed decisions. In this blog, we will delve into the definitions of Data Science and AI, explore […].

article thumbnail

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

article thumbnail

Top fintech trends to look out for in 2023 

Data Science Dojo

Despite major layoffs in 2022, there are many optimistic fintech trends to look out for in 2023. Every crisis bespells new opportunities. In this blog, let’s see what the future holds for fintech trends in 2023. Fintech trends for 2023 not only reveal the path forward for companies big and small but rather, they also show us how changing circumstances in 2022 call for innovative solutions.

Algorithm 195
article thumbnail

Originality.AI Allows Users to Quickly Detect AI Written Content With a Chrome Extension 

insideBIGDATA

Originality.AI recently launched a tool that allows users to screen for content created by popular AI tools, such as ChatGPT. To increase efficiency for the user, Originality.AI has also launched a Google Chrome Extension to make it faster and easier to check content.

AI 195
article thumbnail

Top Posts January 9-15: Python Matplotlib Cheat Sheets

KDnuggets

Python Matplotlib Cheat Sheets • How to Select Rows and Columns in Pandas • 7 Best Platforms to Practice SQL • How to Perform Unit Testing in Python? • Google Data Analytics Certification Review.

Python 264
article thumbnail

Unlock Learnings with the January DataHour Sessions!

Analytics Vidhya

Introduction If you are looking for a platform where you can learn about Data Science, then look no more! Analytics Vidhya is the one. We have always kept our community at the centre stage of the ecosystem. In mind, Analytics Vidhya has launched the DataHour sessions, which will improve your domain knowledge and help you […] The post Unlock Learnings with the January DataHour Sessions!

article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

article thumbnail

Essential types of data analysis methods and processes for business success

Data Science Dojo

An overview of data analysis, the data analysis process, its various methods, and implications for modern corporations. Studies show that 73% of corporate executives believe that companies failing to use data analysis on big data lack long-term sustainability. While data analysis can guide enterprises to make smart decisions, it can also be useful for individual decision-making.

article thumbnail

Tredence Launches ATOM.AI, an Integrated Accelerator Ecosystem for Retailers and CPGs at NRF 2023

insideBIGDATA

Tredence, the Data Science and AI Solutions company, announced the launch of ATOM.AI, an intelligently engineered platform that leverages AI to accelerate data and analytics modernization. Tredence announced the launch of ATOM.AI for retailers and consumer goods companies at NRF, the leading retail industry show hosted by the National Retail Federation.

article thumbnail

Data Lakes and SQL: A Match Made in Data Heaven

KDnuggets

In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

article thumbnail

Governing Ethical AI: Rules & Regulations Preventing Unethical AI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is rapidly becoming a fundamental part of our daily lives, from self-driving cars to virtual personal assistants. However, as AI technology advances, it is crucial to consider the ethical implications of its development and use. The use of AI […].

AI 306
article thumbnail

Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

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.

article thumbnail

ChatGPT is at capacity right now; yes, it is really annoying

Dataconomy

Lately, the “ChatGPT is at capacity now” error has been a continuous source of annoyance for users seeking to try out OpenAI’s outstanding chatbot. Don’t worry; there’s always room for you at Dataconomy. If you’ve tried to use ChatGPT recently and get a “ChatGPT is at capacity right now” error message, it implies their servers are […].

article thumbnail

What’s New With SQL User-Defined Functions

databricks

Since their initial release, SQL user-defined functions have become hugely popular among both Databricks Runtime and Databricks SQL customers. This simple yet powerful.

SQL 212
article thumbnail

KDnuggets Top Posts for December 2022: 5 Python Projects for Data Science Portfolio

KDnuggets

3 Free Machine Learning Courses for Beginners • The Complete Machine Learning Study Roadmap •Markdown Cheat Sheet • Learn Data Science From These GitHub Repositories • 7 Essential Cheat Sheets for Data Engineering • Scikit-Learn Cheat Sheet for Machine Learning • 7 Super Cheat Sheets You Need To Ace Machine Learning Interview.

article thumbnail

Unveiling Financial Insights: A Financial EDA Journey

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Once upon a time, there was an individual trader named Anand. He was a novice in the finance industry, and like many traders, he struggled to find a consistent and profitable trading strategy. Anand was determined to improve his skills and searched […]. The post Unveiling Financial Insights: A Financial EDA Journey appeared first on Analytics Vidhya.

EDA 305
article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.