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: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
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 […].
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.
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
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 […].
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.
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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?
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.
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.
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 […].
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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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.
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.
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.
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Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.
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.
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.
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 […].
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
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.
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
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 -.
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.
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
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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.
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 […].
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 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Cloud computing is an internet-based emerging computing paradigm that provides a way to deliver computing resources. These resources include databases, applications, analytics, computing, servers, storage, networking, development, and intelligence. Cloud Computing provides automation and standardization to make computing resources easier to use […].
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