KDnuggets
DECEMBER 9, 2022
As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.
Analytics Vidhya
DECEMBER 4, 2022
Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. In the epic financial and economic collapse, many lost their jobs, savings, and much more. When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.
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Dataconomy
DECEMBER 7, 2022
Dawn AI generated art app is the latest addition to products related to technology and art integration. Dawn AI’s intuitive interface makes it easy to generate high-quality images using artificial intelligence, and believe us, simplifying art it is not the only feature of Dawn AI. If you’re having trouble finding.
Adrian Bridgwater for Forbes
DECEMBER 7, 2022
Data is intense. It’s intense because it’s important, it’s intense because it is often deeply layered to a rich degree affording it a kind of inherent intensity… and data is also intense because it now forms what the tech industry likes to call data-intensive applications.
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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?
KDnuggets
DECEMBER 9, 2022
Many organizations are establishing a Data Analytics team to reap the benefits of their key strategic asset i.e. data. The post explains how you can leverage the power of analytics to understand the end user and generate actionable insights.
Analytics Vidhya
DECEMBER 3, 2022
This article was published as a part of the Data Science Blogathon. Introduction From the current trends in technology, a lot is likely to become more sophisticated. One area we will look at is the new technology known as Vyper, which is a programming language for developing apps on the web 3. This type of […]. The post A Guide to Vyper and its Environments appeared first on Analytics Vidhya.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
IBM Data Science in Practice
DECEMBER 8, 2022
IBM Federated Learning enables you to train a machine learning model across multiple decentralized parties holding local data sets, without sharing the local data sets. Such parties can be for example within an enterprise, within a consortium of enterprises, within multiple data centers or multiple clouds, or on edge devices. This allows to build a collective machine learning model without sharing data between the parties, therefore addressing data security, privacy, and regulatory compliance re
KDnuggets
DECEMBER 6, 2022
SQL is the essential language for developers, engineers, and data professionals. Intermediate knowledge in SQL gives you an edge in your data science career.
Analytics Vidhya
DECEMBER 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be seeing MLOps from the dimension of one of the powerful tools that make it easy to implement. These tool help to improve the deployment process for robust machine-learning projects. We will start by briefly seeing MLOps […]. The post Explaining MLOps using MLflow Tool appeared first on Analytics Vidhya.
Dataconomy
DECEMBER 9, 2022
With QQ Different Dimension Me, you will finally find your anime version: But first, you should learn how to use Tencent Anime AI, and don’t worry; you have come to the right place for it. AI craze takes over the Internet, and a new AI tool pops up daily. Our.
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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.
IBM Data Science in Practice
DECEMBER 7, 2022
One of the key elements that builds a data fabric architecture is to weave integrated data from many different sources, transform and enrich data, and deliver it to downstream data consumers. IBM Multicloud Data Integration helps organizations connect data from disparate sources, build data pipelines, remediate data issues, enrich data, and deliver integrated data to multicloud platforms where it can easily accessed by data consumers or built into a data product.
KDnuggets
DECEMBER 5, 2022
There are numerous ways in which Artificial Intelligence (AI) will change the way we use mobile apps. As more and more users shift towards tablet computers and various mobile platforms, developers are coming up with new ideas for improving user experience. AI holds many key factors for the future of mobile app development and could indeed prove to be a game changer on almost all fronts.
Analytics Vidhya
DECEMBER 7, 2022
Introduction Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started upskilling themselves. But you need to brush up on your Technical skills periodically to get the latest knowledge. To upskill yourself, and expand your […]. The post Join us for free for upcoming DataHour Sessions appeared first on Analytics Vidhya.
Dataconomy
DECEMBER 6, 2022
The widespread adoption of enterprise cloud storage has the potential to change the way that businesses operate in the future fundamentally. As more and more organizations move their data and applications to the cloud, the need for on-premises IT infrastructure will decrease, and businesses will become increasingly reliant on cloud-based.
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.
Adrian Bridgwater for Forbes
DECEMBER 6, 2022
Wilco enables software engineers to emulate the conditions at a tech startup. The software sends users on ‘quests’ that cover everyday engineering tasks - from deploying an app to finding the root cause of a live software production issue - utilizing real-life technology, but in a safe environment.
KDnuggets
DECEMBER 8, 2022
Begin your machine learning career with free courses by Georgia Tech, Stanford, and Fast AI.
Analytics Vidhya
DECEMBER 5, 2022
This article was published as a part of the Data Science Blogathon. Source: [link] Introduction DMS is a service that makes it easy to migrate on-premise databases into the cloud with minimal or no downtime. It can even monitor the changes in the original database and apply them to the new database. DMS supports […]. The post Simplify Data Migration with AWS DMS appeared first on Analytics Vidhya.
Dataconomy
DECEMBER 6, 2022
Meitu AI Art anime filter trend takes over TikTok and other social media platforms. The recent online craze allows users to turn selfies into anime images. As you may have noticed, the feeds on TikTok and Twitter are full of anime images, and a well-known photo editing tool has once.
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.
Adrian Bridgwater for Forbes
DECEMBER 5, 2022
As software evangelism straddles open source and big business (and internal advocacy), it must now grow to become a new system of belief that enables us to execute software application development more prudently, more competently and with greater care for one another.
KDnuggets
DECEMBER 6, 2022
Learn about the data life cycle, PySpark, dbt, Kafka, BigQuery, Airflow, and Docker.
Analytics Vidhya
DECEMBER 4, 2022
This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The real-world data can be very messy and skewed, which can mess up the effectiveness of the predictive model if it is not addressed correctly and in time. The consequences of skewness become more pronounced when a large model is […]. The post Comparison of Text Generations from GPT and GPT-2 appeared first on Analytics Vidhya.
DataRobot Blog
DECEMBER 6, 2022
Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.
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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.
Dataconomy
DECEMBER 9, 2022
Thanks to the Character AI, the science-fiction dream of collaborative interactions and open-ended dialogues with machines is becoming a reality. Although it is still beta, the outcomes are outstanding. You can chat with Elon Musk, learn English from Pikachu, or even talk to the God! So how does Character AI.
KDnuggets
DECEMBER 5, 2022
The Complete Data Engineering Study Roadmap • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Top 10 Data Science Myths Busted • What is Chebychev’s Theorem and How Does it Apply to Data Science? • Scikit-learn for Machine Learning Cheatsheet.
Analytics Vidhya
DECEMBER 5, 2022
This article was published as a part of the Data Science Blogathon. Source: [link] Introduction AWS S3 is one of the object storage services offered by Amazon Web Services or AWS. It allows users to store and retrieve files quickly and securely from anywhere. Users can combine S3 with other services to build numerous scalable […]. The post Using AWS S3 with Python boto3 appeared first on Analytics Vidhya.
IBM Data Science in Practice
DECEMBER 7, 2022
The IBM Watson NLP Library for Embed is a containerized library intended to be embedded into partner applications in order to provide natural language capabilities. This article will take you through the steps to start serving Watson NLP models using standalone containers. The idea is to build a container image that includes both the models to be served, as well as the runtime that serves the models.
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.
Dataconomy
DECEMBER 7, 2022
The adoption of unified communications as a service (UCaaS) is on the rise among organizations of all sizes and industries. In the age of digitization, “as a service” models have become increasingly important for businesses looking to adapt and thrive. By providing access to specialized technology, expertise, and infrastructure on.
KDnuggets
DECEMBER 5, 2022
Data Visualization is an important aspect of Data Science that enables the data to speak for itself by uncovering the hidden details. Follow this guide to get started with Matplotlib which is one of the most widely used plotting libraries in Python.
Machine Learning Research at Apple
DECEMBER 6, 2022
Optimal transport (OT) theory describes general principles to define and select, among many possible choices, the most efficient way to map a probability measure onto another. That theory has been mostly used to estimate, given a pair of source and target probability measures , a parameterized map that can efficiently map onto. In many applications, such as predicting cell responses to treatments, the data measures (features of untreated/treated cells) that define optimal transport problems do n
Cassie Kozyrkov
DECEMBER 7, 2022
The Revolutionary New Tool for Conversation Generation Continue reading on HackerNoon.
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.
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