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. […].
IBM Journey to AI blog
DECEMBER 16, 2022
Imagine walking into the largest library you’ve ever seen. You have a specific book in mind, but you have no idea where to find it. Fortunately, the library has a computer at the front desk you can use to search its entire inventory by title, author, genre, and more. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located.
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AssemblyAI
DECEMBER 15, 2022
Last weekend, AssemblyAI held our first-ever hackathon. With the AssemblyAI $50k Winter Hackathon , we hoped to foster creativity in building AI-first products. During the hackathon, 440 participants from 84 countries worked hard to build over 150 projects. With so many great projects to choose from, it was hard to narrow them down to the winners. We were incredibly blown away by the quality and quantity of submissions and want to congratulate all of the hackers that came together with us to cre
Eugene Yan
DECEMBER 10, 2022
A quick overview of variational and denoising autoencoders and comparing them to diffusers.
Speaker: David Warren and Kevin O’Neill Stoll
Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng
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 […].
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
AssemblyAI
DECEMBER 14, 2022
Today, we're excited to announce our new v9 transcription model. The v9 model marks one of our biggest improvements to date and shows increased performance across the board on many audio types compared to our v8 model. The v9 model also provides the foundation for our v10 model, which our AI research team is already working on for release in early 2023.
Cold Takes
DECEMBER 15, 2022
Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. In previous pieces, I argued that there's a real and large risk of AI systems' aiming to defeat all of humanity combined - and succeeding. I first argued that this sort of catastrophe would be likely without specific countermeasures to prevent it. I then argued that countermeasures could be challenging, due to some key difficulties of AI safety research.
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.
DataRobot Blog
DECEMBER 15, 2022
AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning. By simplifying Time Series Forecasting models and accelerating the AI lifecycle, DataRobot can centralize collaboration across the business—especially data science and IT teams—an
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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?
AssemblyAI
DECEMBER 11, 2022
Sales, marketing, and customer success teams need end-to-end deal visibility to win in today’s hypercompetitive market. Intelligent call coaching features, powered by top revenue intelligence platforms, can help by providing sales and support representatives with call-specific insights and guidance that aid interactions with customers and leads.
Google Research AI blog
DECEMBER 13, 2022
Posted Keerthana Gopalakrishnan and Kanishka Rao, Google Research, Robotics at Google Major recent advances in multiple subfields of machine learning (ML) research, such as computer vision and natural language processing, have been enabled by a shared common approach that leverages large, diverse datasets and expressive models that can absorb all of the data effectively.
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 […].
OpenAI
DECEMBER 15, 2022
We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use. The new model, text-embedding-ada-002 , replaces five separate models for text search, text similarity, and code search, and outperforms our previous most capable model, Davinci, at most tasks, while being priced 99.8% lower. Read documentation Embeddings are numerical representations of concepts converted to number sequences, which make it easy for computers to understand th
Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.
The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven
NYU Center for Data Science
DECEMBER 15, 2022
The international research collaboration works to innovate current climate models Machine learning and data science are used in the field of climate science to advance research and solutions to the global crisis. One innovative collaboration is Multiscale Machine Learning In Coupled Earth System Modeling (M²LInES) which seeks to expand the current understanding of the climate process, create new “physics-aware” machine learning models that can advance climate research, and improve existing clima
Google Research AI blog
DECEMBER 14, 2022
Posted by Quan Wang, Senior Staff Software Engineer, and Fan Zhang, Staff Software Engineer, Google In 2019 we launched Recorder , an audio recording app for Pixel phones that helps users create, manage, and edit audio recordings. It leverages recent developments in on-device machine learning to transcribe speech , recognize audio events , suggest tags for titles, and help users navigate transcripts.
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.
Dlabs.ai
DECEMBER 13, 2022
If you follow AI news (or simply spend time on Twitter), you’ve undoubtedly seen a new trending topic these last couple of weeks. It’s all thanks to a company called OpenAI, which just published software called ChatGPT. Almost overnight, the internet was awash with business leaders, influencers, and your everyday Twitter user sharing what they’ve produced using this absolutely remarkable tool.
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.
PyImageSearch
DECEMBER 12, 2022
Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 2 AdaBoost The Dataset Sample Weights Choosing the Right Feature Significance of a Stump Calculating the New Sample Weights Moving Forward: The Subsequent Stumps Piecing It Together Configuring Your Development Environment Having Problems Configuring Your Development Environment? Setting Up the Prerequisites Building the Model Assessing the Model Summary Citation Information Scaling Kaggle Competitions Using XGBoost: Part 2 In our
How to Learn Machine Learning
DECEMBER 11, 2022
Hello dear reader! Hope you’re doing well. In this article we will provide a brief introduction to Pandas, one of the most famous Python libraries for Data Science and Machine learning. It will help you understand its fundamentals, what it is, and how to get started. Lets get to it! Introduction to Pandas – The fundamentals Pandas is a popular and powerful open-source data analysis and manipulation library for the Python programming language.
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 […].
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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OpenAI
DECEMBER 15, 2022
We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.
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 […].
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 […].
Analytics Vidhya
DECEMBER 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction In machine learning, the data’s amount and quality are necessary to model training and performance. The amount of data affects machine learning and deep learning algorithms a lot. Most of the algorithm’s behaviors change if the amount of data is increased or […].
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.
Analytics Vidhya
DECEMBER 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction Source – pexels.com Are you struggling to manage and analyze large amounts of data? Are you looking for a cost-effective and scalable solution for your data warehouse needs? Look no further than AWS Redshift. AWS Redshift is a fully managed, petabyte-scale data warehouse […].
Analytics Vidhya
DECEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction Bagging is a famous ensemble technique in the field of machine learning which is widely used for its performance and better results. It is one of the most important and high-performing ensemble techniques, which is easy to use and accurate. Due to […]. The post Interview Questions on Bagging Algorithms in Machine Learning appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction MongoDB is a type of NoSQL Database, that stores data in document format(bson or binary json format). Its advantage over traditional SQL Databases includes the flexibility of schema-design, relaxation of its ACID properties and its distributed data storage capability thus performing better for […].
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