Analytics Vidhya

AUGUST 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction More often than not, developers run into issues of an application running on one machine versus not running on another. Dockers help prevent this by ensuring the application runs on any machine if it works on yours. Simply put, if your job as […]. The post Building a simple Flask App using Docker vs Code appeared first on Analytics Vidhya.

Data Science 388

Data Science Analytics Analytics Data Warehouse 388

KDnuggets

AUGUST 15, 2022

ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.

ETL 400

ETL Machine Learning Machine Learning Algorithm 400

Smart Data Collective

AUGUST 16, 2022

The Department of Health and Human Services HIPAA Breach Reporting Tool shows that there were over 700 data breaches in healthcare organizations last year. Healthcare organizations need to utilize the latest technology to stop these attacks. Machine learning technology is especially important. Machine Learning Helps Healthcare Organizations Fight Cyberattacks.

ML 111

ML ML Machine Learning Machine Learning 111

DataRobot Blog

AUGUST 18, 2022

Supply chain and logistics industries worldwide lose over $1 trillion a year due to out-of-stock or overstocked items 1. Shifting demands and shipping difficulties make the situation worse. Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. The retail marketplace has become increasingly complex and competitive.

AI 98

AI AI Machine Learning Machine Learning 98

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

Analytics Vidhya

AUGUST 18, 2022

Dear Readers, Data Science is a vast subject, and the learning you can get is immense. And we at Analytics Vidhya always try to bring new learning topics and build up your skills. This time, we have not one, not two, but six new DataHour for you to attend. So, keep your notepad handy and […]. The post The DataHour: Your Upcoming Learning Timeline appeared first on Analytics Vidhya.

Data Science 377

Data Science Analytics Analytics Deep Learning 377

KDnuggets

AUGUST 18, 2022

If you’re considering a career in data science, it’s important to understand how these two fields differ, and which one might be more appropriate for someone with your skills and interests.

Data Scientist 396

Data Scientist Data Engineering Data Engineer Data Engineering 396

The Data Administration Newsletter

AUGUST 16, 2022

I had a great experience attending the MIT Chief Data Officer and Information Quality Symposium in Cambridge this July. It was truly enlightening to hear from so many experienced data leaders. This year, there were 2,855 registered attendees from 63 countries, including 1,218 Chief Data Officers. I always learn so much at these symposia. In […].

Data Quality 98

Data Quality Data Governance 98

Analytics Vidhya

AUGUST 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction AWS Glue helps Data Engineers to prepare data for other data consumers through the Extract, Transform & Load (ETL) Process. The managed service offers a simple and cost-effective method of categorizing and managing big data in an enterprise. It provides organizations with […].

AWS 351

AWS ETL Big Data Big Data 351

KDnuggets

AUGUST 16, 2022

High data availability may help power digital transformation, but data management systems are needed to keep that data organizaed and make it accessible. Read this article to see why data management is important to data science.

Data Science 309

Data Science 309

Smart Data Collective

AUGUST 17, 2022

Cloud technology is becoming more important to modern businesses than ever. Ninety-four percent of enterprises invest in cloud infrastructures, due to the benefits it offers. An estimated 87% of companies using the cloud rely on hybrid cloud environments. However, some companies use other cloud solutions, which need to be discussed as well. These days, most companies’ cloud ecosystem includes infrastructure, compliance, security, and other aspects.

Apache Kafka 106

Apache Kafka ETL Data Lakes AWS 106

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

The Data Administration Newsletter

AUGUST 16, 2022

Unfortunately, a lot of data governance programs fail and there are many reasons why. The silver lining is that there are great lessons from these failures that we can learn from and make sure that we will avoid them in our data governance program. Here are the keys to data governance success: Treat Data Governance as […].

Data Governance 98

Data Governance 98

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Contrast enhancement algorithms have evolved over the last few decades to meet the needs of its objectives. There are two main goals in enhancing an image’s contrast: (i) Improving its appearance for visual interpretation and (ii) facilitating/increasing the performance of subsequent tasks […].

Data Science 273

Data Science Algorithm Analytics Analytics 273

KDnuggets

AUGUST 16, 2022

This blog outlines a solution to the Kaggle Titanic challenge that employs Privacy-Preserving Machine Learning (PPML) using the Concrete-ML open-source toolkit.

Machine Learning 313

Machine Learning Machine Learning ML ML 313

Dataversity

AUGUST 16, 2022

How organizations manage their data directly impacts their success or failure. The correlation between data analytics and intelligence to competitive advantage and growth has led to heavy investments in those technologies throughout the last decade. So, if you consider that content is the consumable form of data, then it follows that the era of big […].

Analytics 98

Analytics Analytics 98

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.

Smart Data Collective

AUGUST 15, 2022

Businesses are evolving and searching for newer ways to accomplish their goals, hence the need for artificial intelligence (AI). AI involves building smart machines to carry out tasks that typically need human intelligence, and AI simulates human intelligence using computer systems. The two major AI types used in businesses today are reactive machines and limited memory.

AI 96

AI AI Machine Learning Machine Learning 96

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Impala is an open-source and native analytics database for Hadoop. Vendors such as Cloudera, Oracle, MapReduce, and Amazon have shipped Impala. If you want to learn all things Impala, you’ve come to the right place. source: -[link] It rapidly processes large […].

Hadoop 273

Hadoop Database Data Science Analytics 273

KDnuggets

AUGUST 19, 2022

For anyone whose work involves presenting data, understanding the art and science of data visualization — and its emphasis on storytelling — can make or break your ability to communicate key insights.

Data Visualization 280

Data Visualization Data Science 280

Dataversity

AUGUST 17, 2022

When setting up an Apache Cassandra table schema and anticipating how you’ll use the table, it’s a best practice to simultaneously formulate a thoughtful compaction strategy. While a Cassandra table’s compaction strategy can be adjusted after its creation, doing so invites costly cluster performance penalties because Cassandra will need to rewrite all of that table’s data.

Clustering 98

Clustering Data Modeling Data Models Database 98

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

Eugene Yan

AUGUST 13, 2022

Pushing back on the cult of complexity.

130

130

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Transformers were one of the game-changer advancements in Natural language processing in the last decade. A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […].

Data Science 250

Data Science Natural Language Processing Analytics Analytics 250

KDnuggets

AUGUST 18, 2022

Just as Maslow identified a hierarchy of needs for people, data teams have a hierarchy of needs, beginning with data freshness; including volumes, schemas, and values; and culminating with lineage.

Data Quality 276

Data Quality Data Science 276

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. They were run by IT instead of the most logical data governance owners and stewards.

Data Governance 92

Data Governance Data Quality DataOps 92

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

FlowingData

AUGUST 18, 2022

Welcome to issue #202 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and I’m visualizing data for one person and hoping for the best. Become a member for access to this — plus tutorials, courses, and guides.

90

90

Analytics Vidhya

AUGUST 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction The Data science pipeline is the procedure and equipment used to compile raw data from many sources, evaluate it, and display the findings in a clear and concise manner. Businesses use the method to get answers to certain business queries and produce […]. The post Basic Introduction to Data Science Pipeline appeared first on Analytics Vidhya.

Data Science 262

Data Science Analytics Analytics Data Warehouse 262

KDnuggets

AUGUST 16, 2022

Converting Jupyter notebooks to a well-designed software system is a mandatory step in every ML project. But there is a notable lack of tooling to assist developers with such translation, beyond the basic nbconvert utility.

ML 271

ML ML 271

Alation

AUGUST 18, 2022

How do you approach data lineage? We all know that data lineage is a complex and challenging topic. In this blog, I am drilling into something I’ve been thinking about and studying for a long time: fundamental approaches to lineage creation and maintenance. There are several reasons why I am compelled to address it: I continue to meet people who don’t understand how to frame and put the lineage challenge in context.

Database 69

Database Data Engineering Data Engineer Data Engineering 69

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

FlowingData

AUGUST 16, 2022

Davey Alba and Jack Gillum, for Bloomberg, found that Google Maps commonly points people to crisis pregnancy centers, non-medical locations that encourage women to follow through with pregnancy, when they search for “abortion clinic” Tags: abortion , Bloomberg , Google , search.

88

88

Analytics Vidhya

AUGUST 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction As an SQL Developer, you regularly work with enormous amounts of data stored in different tables that are present inside databases. This often becomes difficult to extract the information if it is not organized properly. We can solve this problem using Normalization by […].

Database 258

Database SQL Data Science Analytics 258

KDnuggets

AUGUST 15, 2022

Free AI for Beginners Course • How to Perform Motion Detection Using Python • 3 Free Statistics Courses for Data Science • The 5 Hardest Things to Do in SQL • Decision Tree Algorithm, Explained.

Decision Trees 271

Decision Trees SQL Data Science AI 271

DeepMind

AUGUST 17, 2022

We want to build safe, aligned artificial general intelligence (AGI) systems that pursue the intended goals of its designers. Causal influence diagrams (CIDs) are a way to model decision-making situations that allow us to reason about agent incentives. By relating training setups to the incentives that shape agent behaviour, CIDs help illuminate potential risks before training an agent and can inspire better agent designs.

57

57

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.