insideBIGDATA

JANUARY 17, 2023

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

Big Data Big Data Deep Learning Deep Learning 482

KDnuggets

JANUARY 20, 2023

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 400

Python Machine Learning Machine Learning 400

Analytics Vidhya

JANUARY 20, 2023

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?

Data Quality 338

Data Quality Machine Learning Machine Learning ML 338

Machine Learning Mastery

JANUARY 15, 2023

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.

Deep Learning 318

Deep Learning Deep Learning 318

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?

insideBIGDATA

JANUARY 19, 2023

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

Big Data Big Data Analytics Analytics 416

KDnuggets

JANUARY 18, 2023

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.

Data Scientist 386

Data Scientist Data Science 386

Adrian Bridgwater for Forbes

JANUARY 20, 2023

Platform engineering is the IT discipline of designing & building self-service capabilities to minimize cognitive load for developers and to enable the fast-flow software delivery.

255

255

insideBIGDATA

JANUARY 14, 2023

In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how data analytics relies on vast amounts of information from different sources to be effective. The same often goes for AI. Unified analytics consolidates these disparate data sources and analytics pipelines into a single platform, using AI to automate that process.

Analytics 417

Analytics Analytics AI AI 417

KDnuggets

JANUARY 18, 2023

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

Machine Learning 385

Machine Learning Machine Learning Python Algorithm 385

Analytics Vidhya

JANUARY 20, 2023

Introduction Machine learning is great! But there’s one thing that makes it even better: ensemble learning. Ensemble learning helps enhance the performance of machine learning models. The concept behind it is simple. Multiple machine learning models are combined to obtain a more accurate model. Bagging, boosting and stacking are the three most popular ensemble learning techniques. […] The post Ensemble Learning Methods: Bagging, Boosting and Stacking appeared first on Analytics Vidhy

Machine Learning 309

Machine Learning Machine Learning Analytics Analytics 309

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!

Dataconomy

JANUARY 19, 2023

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

AI AI Artificial Intelligence Artificial Intelligence 254

insideBIGDATA

JANUARY 20, 2023

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.

Deep Learning 370

Deep Learning Deep Learning Big Data Big Data 370

KDnuggets

JANUARY 16, 2023

All you need to know about ChatGPT: what it can do, how it works, and its limitations.

Natural Language Processing 368

Natural Language Processing 368

Analytics Vidhya

JANUARY 16, 2023

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 […].

Artificial Intelligence 310

Artificial Intelligence Artificial Intelligence AI AI 310

Advertisement

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.

What's The Big Data?

JANUARY 20, 2023

AI21 is addressing the limitations of Large Language Models (LLM) by combining deep learning with old-fashioned AI.

Deep Learning 242

Deep Learning Deep Learning AI AI 242

insideBIGDATA

JANUARY 19, 2023

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.

Deep Learning 280

Deep Learning Deep Learning AI AI 280

KDnuggets

JANUARY 19, 2023

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 338

ETL SQL Data Engineering Data Engineering 338

Analytics Vidhya

JANUARY 20, 2023

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!

Data Science 294

Data Science Analytics Analytics Algorithm 294

Advertisement

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?

Business Intelligence

Dataconomy

JANUARY 17, 2023

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 […].

Artificial Intelligence 239

Artificial Intelligence Artificial Intelligence 239

insideBIGDATA

JANUARY 16, 2023

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

AI AI Deep Learning Deep Learning 279

KDnuggets

JANUARY 17, 2023

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 338

Power BI Tableau SQL Python 338

Analytics Vidhya

JANUARY 16, 2023

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 290

EDA Data Science Analytics Analytics 290

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.

Dataconomy

JANUARY 16, 2023

In a world where technology is advancing at an unprecedented pace, the development of artificial intelligence (AI) has brought about both excitement and concern. As AI systems become increasingly integrated into our daily lives, the question of privacy and security looms large. With the ability to process vast amounts of data and make decisions without […].

Artificial Intelligence 239

Artificial Intelligence Artificial Intelligence AI AI 239

databricks

JANUARY 17, 2023

A new data management architecture known as the data lakehouse emerged independently across many organizations and use cases to support AI and BI.

AI 239

AI AI 239

KDnuggets

JANUARY 20, 2023

Software companies can manage big data at a hyper-scale on different infrastructure stacks using Apache Gobblin.

Big Data 313

Big Data Big Data Data Engineering Data Engineering 313

Analytics Vidhya

JANUARY 18, 2023

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 288

Python Analytics Analytics 288

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

Business Intelligence

Dataconomy

JANUARY 18, 2023

Data gravity is a term that has been gaining attention in recent years as more and more businesses are becoming data-driven. The concept of data gravity is simple yet powerful; it refers to the tendency for data and related applications to congregate in one location, similar to how physical objects with more mass tend to […].

Data Science 225

Data Science 225

databricks

JANUARY 19, 2023

Built-in functions extend the power of SQL with specific transformations of values for common needs and use cases. For example, the LOG10 function.

SQL 234

SQL 234

KDnuggets

JANUARY 17, 2023

Learn how to perform social user authentication in the Django web app using third-party services like Google.

Python 301

Python 301

Analytics Vidhya

JANUARY 17, 2023

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 […].

Artificial Intelligence 278

Artificial Intelligence Artificial Intelligence Data Science Analytics 278

Advertisement

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.