KDnuggets

MARCH 27, 2023

Data science is an intelligent and powerful technology. By knowing how to use data science in mobile app development you can achieve great results.

Data Science 277

Data Science 277

Pickl AI

MARCH 30, 2023

It takes only 7.4 seconds for a recruiter to make up his/her mind to hire a candidate only by looking at their resume. And so, if you are someone who wants to become a Data Scientist and wants to grab the opportunity in the first go, make sure to create an exceptional Data Scientist Resume. For this purpose, you can read ahead. This guide on how to write a Data Scientist resume will provide you with knowledge on the importance of the resume.

Data Scientist 52

Data Scientist Data Science Python AI 52

insideBIGDATA

MARCH 30, 2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 495

Big Data Big Data Cloud Data Database 495

Data Science Dojo

MARCH 30, 2023

As technology advances, we continue to witness the evolution of web development. One of the most important aspects of web development is building web applications that interact with other systems or services. In this regard, the use of APIs (Application Programming Interfaces) has become increasingly popular. Amongst the different types of APIs, REST API has gained immense popularity due to its simplicity, flexibility, and scalability.

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System Architecture Python Database 475

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?

KDnuggets

MARCH 30, 2023

Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.

Natural Language Processing 440

Natural Language Processing Data Science Machine Learning Machine Learning 440

Analytics Vidhya

MARCH 28, 2023

Email automation is a game-changer for businesses, but with AI, it’s becoming even more powerful! AI-powered email automation tools use ML algorithms to analyze data and optimize campaigns, delivering personalized content to each recipient. These tools can also help businesses save time and resources by automating repetitive tasks and providing insights into customer behavior.

AI 352

AI ML ML AI 352

databricks

MARCH 29, 2023

Today, we are excited to announce that users can now run SQL queries on Databricks from within Visual Studio Code via a preview.

SQL 267

SQL 267

KDnuggets

MARCH 29, 2023

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

Natural Language Processing 400

Natural Language Processing Data Science Deep Learning Deep Learning 400

Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question. The keys to business success are sophisticated, intelligent security systems […] The post Applications of Machine Learning and AI in Banking and Finance in 2023 appeared first on Analyt

Machine Learning 349

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 349

insideBIGDATA

MARCH 25, 2023

In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.

Machine Learning 403

Machine Learning Machine Learning ML ML 403

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!

Cassie Kozyrkov

MARCH 29, 2023

A first look at two major AI releases Continue reading on Towards Data Science »

Data Science 264

Data Science AI AI Artificial Intelligence 264

KDnuggets

MARCH 28, 2023

Two researchers from Osaka University were able to reconstruct highly accurate images from human brain activity obtained by fMRI. Read this article if you are curious to find out what all the hype is about.

AI 367

AI AI Artificial Intelligence Artificial Intelligence 367

Analytics Vidhya

MARCH 31, 2023

Are you seeking innovative solutions to promote efficiency and productivity in your marketing endeavors? AI is the solution for you! The availability of sophisticated analytical tools that utilize big data has helped businesses develop more accurate profiles. Moreover, employing AI for marketing analysis helps leverage the power of analytics and consumer profile information.

Analytics 329

Analytics Analytics Big Data Big Data 329

insideBIGDATA

MARCH 28, 2023

In this video interview, Ashwin Rajeeva, co-founder and CTO of Acceldata, we talk about the company’s data observability platform – what "data observability" is all about and why it’s critically important in big data analytics and machine learning development environments.

Data Observability 321

Data Observability Big Data Big Data Big Data Analytics 321

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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.

Adrian Bridgwater for Forbes

MARCH 27, 2023

The data lakehouse is a hybrid term used to denote some of the structures we would find in a more ordered data warehouse with the expansiveness and lower cost functionality of the data lake. But, finding our way around the data lakehouse, even with its defined edges and channels can still be tough.

Data Lakes 261

Data Lakes Data Warehouse Big Data Big Data 261

KDnuggets

MARCH 28, 2023

Speed up your daily workflows by getting AI to write Python code in seconds.

Python 343

Python AI AI 343

Analytics Vidhya

MARCH 30, 2023

Have you ever wondered how Artificial Intelligence transforms our daily lives? From voice generation to medical diagnoses, AI is increasingly becoming ubiquitous in our society. Marketing and social media are another popular domains where AI is bringing in a lot of changes. AI for social media market is expected to grow at a CAGR of […] The post Learn How AI for Social Media can Boost your Next Campaign appeared first on Analytics Vidhya.

Artificial Intelligence 320

Artificial Intelligence Artificial Intelligence AI AI 320

insideBIGDATA

MARCH 31, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Big Data 307

Big Data Big Data Machine Learning Machine Learning 307

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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

Machine Learning Research at Apple

MARCH 30, 2023

We propose a generative framework, FaceLit, capable of generating a 3D face that can be rendered at various user-defined lighting conditions and views, learned purely from 2D images in-the-wild without any manual annotation. Unlike existing works that require careful capture setup or human labor, we rely on off-the-shelf pose and illumination estimators.

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KDnuggets

MARCH 27, 2023

Will data science, known for replacing innately iterative work with automation, become automated? Will data scientists’ jobs be automated too?

Data Science 320

Data Science Data Scientist 320

Analytics Vidhya

MARCH 31, 2023

Introduction Publish and Subscribe is a messaging mechanism having one or a set of senders sending messages and one or a group of receivers receiving these messages. These senders are called Publishers, responsible for publishing these messages, and the receivers are called Subscribers who subscribe to these Publishers to receive their notifications.

Analytics 311

Analytics Analytics Data Warehouse Data Engineering 311

insideBIGDATA

MARCH 26, 2023

The practice of analytics engineering (made popular by dbt Labs) took the data world by storm last year as the novel approach changed how data professionals work. Today, dbt Labs officially launched the inaugural State of Analytics Engineering report. The report assessed the analytics engineering practice and gathered insights from those actively involved in the day-to-day of data.

Analytics 305

Analytics Analytics Big Data Big Data 305

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.

ML @ CMU

MARCH 31, 2023

Figure 1. This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. We observe that explanations do not in fact help with concrete applications such as fraud detection and paper matching for peer review. Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions.

ML 246

ML ML Algorithm Machine Learning 246

KDnuggets

MARCH 27, 2023

Microsoft announces Visual ChatGPT for talking, drawing, and editing with visual foundation models.

Artificial Intelligence 305

Artificial Intelligence Artificial Intelligence 305

Analytics Vidhya

MARCH 31, 2023

Introducing Microsoft Loop: A Co-Creation Powerhouse The recently released Microsoft Loop is an all-in-one solution for Microsoft 365 apps that connect your teams, documents, and tasks across all devices and help improve teamwork and collaboration. This co-creation platform is a powerful competitor to the popular workspace app, Notion. Microsoft Loop’s Unique Selling Point: Real-Time Blocks […] The post Microsoft Loop: The Collaboration Revolution Your Team Can’t Afford to Miss

Analytics 309

Analytics Analytics Artificial Intelligence Artificial Intelligence 309

insideBIGDATA

MARCH 29, 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 284

Deep Learning Deep Learning Big Data Big Data 284

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

databricks

MARCH 28, 2023

Now more than ever, organizations need to adapt quickly to market opportunities and emerging risks so that they are better positioned to adapt.

Analytics 235

Analytics Analytics AI AI 235

KDnuggets

MARCH 28, 2023

GPT-4: Everything You Need To Know • OpenChatKit: Open-Source ChatGPT Alternative • Top Posts March 13-19: GPT-4: Everything You Need To Know • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • 4 Ways to Generate Passive Income Using ChatGPT

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Analytics Vidhya

MARCH 31, 2023

Introduction Web frameworks/libraries in Python provide a good foundation for developers who want to develop website applications by combining different features provided by these libraries in Python. Due to its simplicity, many developers have used Python, even for website application development for the backend. Data Science and Machine Learning have recently become a key part […] The post Is Pynecone A Full Stack Web Framework for Python?

Python 308

Python Machine Learning Machine Learning Data Science 308

insideBIGDATA

MARCH 28, 2023

SnapLogic, a leader in intelligent integration and enterprise automation, announced the release of SnapGPT, the first-ever generative AI solution for enterprise applications and the modern data stack. The new addition to the SnapLogic platform leverages AI to quickly integrate and automate business processes using natural language prompts.

AI 240

AI AI Big Data Big Data 240

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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.