KDnuggets
DECEMBER 16, 2022
Many aspiring Data Scientists, especially when self-learning, fail to learn the necessary math foundations. These recommendations for learning approaches along with references to valuable resources can help you overcome a personal sense of not being "the math type" or belief that you "always failed in math.".
Analytics Vidhya
DECEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Generally, machine learning can be classified into four types: supervised machine learning, unsupervised machine learning, semi-supervised machine learning, and reinforcement learning. Supervised machine learning is a type of machine learning that is the easiest and less complex type or branch of data science. […].
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Dataconomy
DECEMBER 14, 2022
Optical computing is a revolutionary technology that has the potential to change the way we think about computation. Unlike traditional computers, which use electrical signals to perform calculations, optical computing uses light. This allows for a much higher frequency of data processing, making it possible to run large and complex.
Adrian Bridgwater for Forbes
DECEMBER 12, 2022
The whole world of low-code no-code is getting more controlled, more automated and (it’s tough to argue against it) more interesting. No-code is the new yes-code, wait for the branding slogan soon.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
KDnuggets
DECEMBER 15, 2022
Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.
Analytics Vidhya
DECEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction Humans can identify new objects with fewer examples. However, machines would require thousands of samples to identify the objects. Learning from a limited sample would be challenging in machine learning. Having challenges, in recent advances, Machine learning has come up with new […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Adrian Bridgwater for Forbes
DECEMBER 15, 2022
We now move to so-called ‘modern cloud’, a state of being where we can tap into new optimizations and automations being brought to market by the major hyperscalers (AWS, Google Cloud Platform & Microsoft Azure, obviously) and the contenders edging for a space at the group-of-three’s big table.
KDnuggets
DECEMBER 13, 2022
The cheat sheets cover various NLP techniques, tasks, algorithms, frameworks, and analytics.
Analytics Vidhya
DECEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Are you using Amazon Web Services (AWS) Simple Storage Service (S3) to store your data and media files? If so, you’re not alone – AWS S3 is a popular choice for its scalability and reliability. However, it’s not uncommon to make common AWS […]. The post 10 Common AWS S3 Mistakes appeared first on Analytics Vidhya.
Dataconomy
DECEMBER 12, 2022
Data observability is a critical concept in today’s fast-paced and data-driven world. It refers to the ability of teams to proactively review and discover insights from their data in real time without experiencing significant data downtime. This is made possible by powerful engines that are designed to ingest and process.
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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?
Adrian Bridgwater for Forbes
DECEMBER 16, 2022
We are at that watershed tipping inflexion point where the enterprise software industry has produced a weight of product that now enables us to start looking after more specialized, vertically aligned use cases.
KDnuggets
DECEMBER 14, 2022
Markdown is a lightweight markup language for creating formatted text using a plain-text editor. Grab this handy reference sheet to make certain you know how to implement what you need to, when you want to!
Analytics Vidhya
DECEMBER 10, 2022
Introduction ‘Hey, Siri, ‘Hey, Google,’ and ‘Alexa’ are some common voice assistants we use on an everyday basis. These fascinating conversational bots use Natural Language Understanding to understand the inputs. NLU is a subset of Natural Language Processing that enables the machine to understand the natural language (text/audio). NLU is a critical component in most […].
Dataconomy
DECEMBER 14, 2022
The blockchain nonce, one of the most important parts of blockchain encryption, has been kept under wraps for a while. Only glossaries and a few brief explanations of the nonce’s function contain descriptions of them. You may learn more about nonce in blockchain and how it relates to cryptography in.
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.
DrivenData Labs
DECEMBER 13, 2022
How to Predict Harmful Algal Blooms Using LightGBM and Satellite Imagery ¶ Welcome to the benchmark notebook for the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge ! If you are just getting starting, we recommended reading the competition homepage first. The goal of this benchmark is to: Demonstrate how to explore and work with the data Provide a basic framework for building a model Demonstrate how to package your work correctly for submission You can either expand on and improve
KDnuggets
DECEMBER 12, 2022
4 Useful Intermediate SQL Queries for Data Science • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 3 Free Machine Learning Courses for Beginners • 7 Essential Cheat Sheets for Data Engineering • 7 Techniques to Handle Imbalanced Data.
Analytics Vidhya
DECEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction Dear Data Engineers, this article is a very interesting topic. Let me give some flashback; a few years ago, Mr.Someone in the discussion coined the new word how ACID and BASE properties of DATA. Suddenly drop silence in the room. Everyone started […]. The post Understand the ACID and BASE in Morden Data Engineering appeared first on Analytics Vidhya.
IBM Data Science in Practice
DECEMBER 12, 2022
Co-authored with: Matan Orbach, Yoav Katz, Noam Slonim Customer reviews of businesses and products have become a powerful tool for measuring customer satisfaction. They provide useful insights that help companies improve their services and assist consumers in decision-making. Sentiment analysis plays a key role in analyzing these reviews. It identifies the sentiment expressed in the text within an entire review document or even in a single sentence.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
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.
DrivenData Labs
DECEMBER 11, 2022
In a previous blog post , we showed that we can use predictions from Zamba to classify videos from camera traps, keeping the ones that actually show animals and automatically removing the ones that are blank. For each video, Zamba generates a probability that it is blank. And these probabilities are generally well calibrated, so in a set of videos with probability 0.5, for example, the percentage that are blank is close to 50%.
KDnuggets
DECEMBER 16, 2022
Customer sentiment analysis involves collecting, analyzing, and leveraging data to understand customers' feelings. This article focuses on how to collect data for customer sentiment analysis.
Analytics Vidhya
DECEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction HyperLedger Fabric is a permissioned blockchain infrastructure initially developed by IBM and Digital Asset. It is used for providing a modular architecture with a delineation of roles between the nodes in the infrastructure. It is also used in the execution of various Smart […].
Dataconomy
DECEMBER 14, 2022
Apple rolls out new security features with iOS 16.2. such as advanced data protection for iCloud, iMessage Contact Key Verification, and Security Keys for Apple ID. These new tools will protect your most sensitive data and communications. But one of them was wanted for a long time; advanced data protection.
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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.
databricks
DECEMBER 12, 2022
Releasing any data pipeline or application into a production state requires planning, testing, monitoring, and maintenance. Streaming pipelines are no different in this.
KDnuggets
DECEMBER 12, 2022
KDnuggets recently had the opportunity to sit down with newly-released acclaimed artificial intelligence ChatGTP from OpenAI. What we found during the course of conversation was both interesting and surprising. Read on to find out what ChatGPT knew about data science and much more.
Analytics Vidhya
DECEMBER 13, 2022
This article was published as a part of the Data Science Blogathon. Source – itprc.com Introduction Oracle database assures most of the business requirements, including low RTO (Recovery Time Objective) and RPO (Recovery Point Objective) in case of a failure; hence it is one of the popular choices among businesses. Running Oracle on AWS can reduce […].
Adrian Bridgwater for Forbes
DECEMBER 10, 2022
Thriving in the real-time economy requires instantaneous computation on both new and historical data, something traditional databases cannot do.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
databricks
DECEMBER 15, 2022
In this blog post, we introduce transpiler, a Databricks Labs open-source project that automates the translation of Splunk Search Processing Language (SPL) queries.
KDnuggets
DECEMBER 14, 2022
This blog post uses the Concrete-ML library, allowing data scientists to use machine learning models in fully homomorphic encryption (FHE) settings without any prior knowledge of cryptography. We provide a practical tutorial on how to use the library to build a sentiment analysis model on encrypted data.
Analytics Vidhya
DECEMBER 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to learn and improve from data automatically. However, successfully deploying and managing ML in production can be challenging, requiring careful coordination between data scientists and […].
Smart Data Collective
DECEMBER 13, 2022
Technology is quickly becoming a critical component of our existence. Today, technology powers every important aspect of our life, from business to education to medicine. It has greatly aided in the automation of formerly manual activities, making everything more smooth and efficient. However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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