Analytics Vidhya

JANUARY 30, 2023

Introduction Are you curious about how your camera phone automatically tags your photos with keywords or how Google Photos can sort your images by the objects in them? These abilities are made possible by a technique called Bag of Features (BoF). BoF is a powerful method used in computer vision and image processing that allows […] The post Bag of Features: Simplifying Image Recognition for Non-Experts appeared first on Analytics Vidhya.

Analytics 305

Analytics Deep Learning Machine Learning 305

KDnuggets

JANUARY 30, 2023

The ChatGPT Cheat Sheet • ChatGPT as a Python Programming Assistant • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.

Data Collection 131

Data Collection Data Science Modeling 131

Analytics Vidhya

JANUARY 30, 2023

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Whether we are analyzing IoT data streams, managing scheduled events, processing document uploads, responding to database changes, etc. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

IoT 297

IoT Management Analytics 297

Dataiku

JANUARY 30, 2023

This is a guest post by Adam McMaster and Meirin Evans, our friends at The Brilliant Club, whom we have partnered with since 2021. Adam joined The Brilliant Club in October 2022 for a three-month internship as part of his doctoral training program. Adam is in the third year of his Ph.D. at the Open University and his research focuses on black holes and variable stars.

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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.

Experimentation

Analytics Vidhya

JANUARY 30, 2023

Introduction Machine Learning and Deep Learning models are often created and run either in the Jupyter notebook or in IDE. Very few of them get deployed, and the deployment of these models usually tends to be website based. Rarely do developers convert them into standalone apps due to a lack of not knowing how? These […] The post Deploying Deep Learning Model Using Tkinter and Pyinstaller appeared first on Analytics Vidhya.

Deep Learning 279

Deep Learning Modeling Machine Learning Analytics 279

Smart Data Collective

JANUARY 30, 2023

AI technology is becoming increasingly important for software developers. We talked about some of the ways software developers can create successful AI applications. However it is equally important to use existing AI tools strategically to improve the quality of the software app lications that you are trying to design. AI Technology is Driving Major Changes in Software Development in an Uncertain Economy As 2022 is slowly coming to an end, we can’t say this is precisely what we thought the

Software 95

Software Strategy Testing Advertising 95

Smart Data Collective

JANUARY 30, 2023

Every year, we hear new stories about how artificial intelligence technology is becoming more integral to the marketing profession. In 2022, one of the biggest breakthroughs ever was the emergence of AI art. However, there are other benefits of AI in marketing that get less publicity. One of them is the use of AI in PPC marketing. As we have stated in the past, AI has led to both new opportunities and complications in the field of PPC advertising.

Advertising 95

Advertising Cost-Benefit Marketing Strategy 95

Analytics Vidhya

JANUARY 30, 2023

Introduction Data has become an essential part of our daily lives in today’s digital age. From searching for a product on e-commerce platforms to placing an order and receiving it at home, we are constantly generating and consuming data. Today’s data-driven world generates data from various sectors like retail, automobile, finance, technology, aviation, food, media, […] The post Analysis of Retail Data Insights With PySpark & Databricks appeared first on Analytics Vidhya.

Finance 282

Finance Data-driven Technology Analytics 282

KDnuggets

JANUARY 30, 2023

These 10 one liners will help you start to access, manipulate, and manage data using Pandas.

Management 122

Management 122

Smart Data Collective

JANUARY 30, 2023

AI technology has significantly disrupted the world of business. According to a survey by IBM, 35% of companies report using AI. But what are the best ways to leverage artificial intelligence? One of the most important is to use AI to improve the quality of your websites. A growing number of companies are using AI to improve the user experience of their websites, boost engagement and earn higher conversion rates.

Technology 85

Technology Optimization Machine Learning Marketing 85

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

AWS Big Data

JANUARY 30, 2023

In April 2022, Amazon Managed Streaming for Apache Kafka (Amazon MSK) launched an exciting new capability, Amazon MSK Serverless. Amazon MSK is a fully managed service for Apache Kafka that makes it easier for developers to build and run highly available, secure, and scalable applications based on Apache Kafka. With MSK Serverless, developers can run their applications without having to provision, configure, or optimize their Apache Kafka clusters.

Management 85

Management Optimization Data Processing IT 85

Octopai

JANUARY 30, 2023

Ever promise someone the moon? If you did, it’s unlikely you knew the price tag in advance. On the other hand, if you promise someone a cloud, you can calculate your costs down to a thousandth of a cent. Amazon , Azure and Google all happily offer cloud data storage cost calculators that will make your head spin with their specificity. How many TiB of data do you need for Streaming Reads on Google BigQuery?

Optimization 83

Optimization Data Warehouse Reporting IT 83

KDnuggets

JANUARY 30, 2023

Split the Pandas DataFrame into groups based on one or more columns and then apply various aggregation functions to each one of them.

Data Science 100

Data Science 100

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities. In this post, we discuss how to handle UPSERTs (updates and inserts) of the operational data using natively integrated Delta Lake with AWS Glue , and query the Delta Lake using Amazon Athena.

Insurance 77

Insurance Data Lake Data-driven Management 77

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

KDnuggets

JANUARY 30, 2023

Lacking inspiration on how to prepare SQL aggregate functions for a job interview? Here are three interview question suggestions to get you out of a rut.

Data Science 73

Data Science 73

AWS Big Data

JANUARY 30, 2023

The Amazon EMR runtime for Apache Spark is a performance-optimized runtime for Apache Spark that is 100% API compatible with open-source Apache Spark. With Amazon EMR release 6.9.0, the EMR runtime for Apache Spark supports equivalent Spark version 3.3.0. With Amazon EMR 6.9.0, you can now run your Apache Spark 3.x applications faster and at lower cost without requiring any changes to your applications.

Testing 66

Testing Data Lake Big Data Optimization 66

Juice Analytics

JANUARY 30, 2023

The last few months have been difficult for technology workers. It seems like every week, we hear about a blue-chip tech company laying off thousands of employees. Crunchbase has been tracking US-based technology layoffs here. But an ever-growing table like the one below doesn’t exactly tell the story or reveal trends. Crunchbase data on Tech Layoffs, 2022/2023 There’s obviously a lot of value hidden in this data, so we pointed Juicebox at it to discover (and share) some of those hidden insights

Visualization 52

Visualization Interactive Reporting Technology 52

Depict Data Studio

JANUARY 30, 2023

What is data storytelling? How do we overcome common pain points in data visualization and storytelling?? What’s the most important thing to keep in mind while editing our visualizations??? I recently discussed all these, and more, on the SuperDataScience podcast with the host, Jon Krohn. With more than 600 episodes and hundreds of thousands of downloads each month, the SuperDataScience is the #1 podcast in the data field.

Visualization 52

Visualization Dashboards Data Processing Interactive 52

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

Andrew White

JANUARY 30, 2023

This question was posed in an article today in the WSJ: AI Generated Art for a Conic Book. Human Artists are Having a Fit. Reading the article there seems to be two angles. The first is this: to be copyrighted the material created by the AI model needs to “show a modicum of creativity”. And the powers that be will have to determine if AI can create something new or novel.

Modeling 52

Modeling Machine Learning Software Marketing 52

Alation

JANUARY 30, 2023

Alation launched the Data Intelligence Project in summer 2021 to train the next generation of data leaders by providing learning opportunities with Alation in the classroom. To celebrate the program’s global expansion with a new cohort of universities, we’re sharing the story of one professor, Russell McMahon of the University of Cincinnati. In this blog, we’ll reveal how Professor McMahon encountered Alation and launched the program in his own school — and how he plans to develop it for the fut

Data Governance 52

Data Governance Metadata Data-driven Software 52

Cloudera

JANUARY 30, 2023

Have you ever considered how much data a single person generates in a day? Every web document, scanned document, email, social media post, and media download? One estimate states that “ on average, people will produce 463 exabytes of data per day by 2025.” Now consider that the federal government has approximately 2.8 million civilian employees and the department of defense has another 2 million active duty, Guardsmen, and Reservists.

IoT 81

IoT Data Architecture Data Lake Machine Learning 81

Smart Data Collective

JANUARY 30, 2023

Data analytics technology has become a very important element of modern marketing. One of the ways that big data is transforming marketing is through SEO. We have previously talked about data-driven SEO. However, we feel that it is time to have a more nuanced discussion about using big data in SEO. You may want to leverage data analytics to improve the SEO of your images.

Marketing 79

Marketing Data Analytics Analytics Data-driven 79

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