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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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 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 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 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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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.
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 13, 2022
The cheat sheets cover various NLP techniques, tasks, algorithms, frameworks, and analytics.
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.
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: 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.
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 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.
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.
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 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.
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.
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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.
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.
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 […].
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.
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 12, 2022
With Uberduck AI, rappers and TikTokers alike have a new tool at their disposal. This state-of-the-art AI application has rapidly gained popularity amongst those who are looking to step up their game and create groundbreaking work. Uberduck AI has the ability to generate new music, lyrics, and video effects, which.
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 […].
databricks
DECEMBER 12, 2022
Request a meeting with Databricks executives/thought leaders at NRF! Retail, at its core, is about the relationship between an organization’s brand and customers -.
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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