Analytics Vidhya
AUGUST 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Requests in Python is a module that can be used to send all kinds of HTTP requests. It is straightforward to use and is a human-friendly HTTP Library. Using the requests library; we do not need to manually add the query string […]. The post Introduction to Requests Library in Python appeared first on Analytics Vidhya.
BAIR
AUGUST 29, 2022
Deep neural networks have enabled technological wonders ranging from voice recognition to machine transition to protein engineering, but their design and application is nonetheless notoriously unprincipled. The development of tools and methods to guide this process is one of the grand challenges of deep learning theory. In Reverse Engineering the Neural Tangent Kernel , we propose a paradigm for bringing some principle to the art of architecture design using recent theoretical breakthroughs: fir
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O'Reilly Media
AUGUST 4, 2022
Humans are notoriously poor at judging distances. There’s a tendency to underestimate, whether it’s the distance along a straight road with a clear run to the horizon or the distance across a valley. When ascending toward a summit, estimation is further confounded by false summits. What you thought was your goal and end point turns out to be a lower peak or simply a contour that, from lower down, looked like a peak.
DataRobot Blog
AUGUST 3, 2022
How can you save time in understanding the impact of language when working with text in ML models ? With tens of thousands of Text AI projects, DataRobot has helped organizations unlock insights from text and generate predictions with text models—from assisting with customer support ticket triage to predicting real estate sale prices. Continuing to build on previously released Text AI capabilities, DataRobot AI Cloud introduces new features to help with language detection, blueprint optimization
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
Eugene Yan
AUGUST 13, 2022
Pushing back on the cult of complexity.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
AUGUST 18, 2022
This article was published as a part of the Data Science Blogathon. Introduction More often than not, developers run into issues of an application running on one machine versus not running on another. Dockers help prevent this by ensuring the application runs on any machine if it works on yours. Simply put, if your job as […]. The post Building a simple Flask App using Docker vs Code appeared first on Analytics Vidhya.
OpenAI
AUGUST 31, 2022
Extend creativity and tell a bigger story with DALL-E images of any size Original outpainting by Emma Catnip Today we’re introducing Outpainting, a new feature which helps users extend their creativity by continuing an image beyond its original borders — adding visual elements in the same style, or taking a story in new directions — simply by using a natural language description.
O'Reilly Media
AUGUST 9, 2022
In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you could only realize that idea if you had the craftsmanship and technique to back it up. With DALL-E, that’s no longer true. You can say, “Make me a picture of a lion attacking a horse,” and it will happily generate one.
DataRobot Blog
AUGUST 18, 2022
Supply chain and logistics industries worldwide lose over $1 trillion a year due to out-of-stock or overstocked items 1. Shifting demands and shipping difficulties make the situation worse. Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. The retail marketplace has become increasingly complex and competitive.
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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?
Wisdom Works
AUGUST 30, 2022
Are you AI Curious? Earlier this year, we ran a survey to see how many businesses where adopting the benefits of AI and at what stage they were at in the journey. The results were quite frankly astonishing – only a few of the businesses we surveyed had started the process of adopting AI into their business. This didn’t seem to relate to the size of the business or the technical skills and experience of the team either.
DeepMind
AUGUST 17, 2022
We want to build safe, aligned artificial general intelligence (AGI) systems that pursue the intended goals of its designers. Causal influence diagrams (CIDs) are a way to model decision-making situations that allow us to reason about agent incentives. By relating training setups to the incentives that shape agent behaviour, CIDs help illuminate potential risks before training an agent and can inspire better agent designs.
Analytics Vidhya
AUGUST 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction 2.5 quintillion bytes of data are produced every day! Consider how much we can deduce from that and what conclusions we can draw. Wait! But, how do we deal with such a massive amount of data? Not to worry; the Pandas library […]. The post The Ultimate Guide To Pandas For Data Science!
Defined.ai blog
AUGUST 29, 2022
Welcome back, dear readers, to Defined.ai’s highlights of ICASSP 2022! In part II of our adventure chronicle, I’ll be getting nerdy and highlighting some of the best papers—in my humble opinion—that we read and discussed in Singapore. While there was an excellent system for “best papers” at the conference, I’m mainly interested in focusing on those with objective metrics for text-to-speech (TTS) systems since Evaluation of Experience (EoE) is one of our key offerings at Defined.ai, and of course
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
Kavita Ganesan
AUGUST 25, 2022
We’ve all heard of sentiment analysis, but what exactly is it and what can it do for your brand, your business, and how can you get started with it? Table Of Contents What is Sentiment Analysis? Why is Sentiment Analysis Important in Business? How are Businesses Using Sentiment Analysis? (Real-World Examples) How to Get Started with Sentiment Analysis Keep Learning From Me: Recommeded Reading What is Sentiment Analysis?
DataRobot Blog
AUGUST 1, 2022
We’ve had a busy few months in the Middle East and Northern Africa (MENA) building great relationships with important customers in the region and working closely with critical partners that will act as managed service providers helping us as we bring the value of AI to that market. One such partnership was recently announced between Hub71 , Abu Dhabi’s global tech ecosystem, and e& enterprise , part of e& In partnership with and powered by the DataRobot AI Cloud platform , Hub71 and e
Wisdom Works
AUGUST 30, 2022
Are you AI Curious? Earlier this year, we ran a survey to see how many businesses where adopting the benefits of AI and at what stage they were at in the journey. The results were quite frankly astonishing – only a few of the businesses we surveyed had started the process of adopting AI into their business. This didn’t seem to relate to the size of the business or the technical skills and experience of the team either.
DeepMind
AUGUST 24, 2022
We came across Zindi – a dedicated partner with complementary goals – who are the largest community of African data scientists and host competitions that focus on solving Africa’s most pressing problems. Our Science team’s Diversity, Equity, and Inclusion (DE&I) team worked with Zindi to identify a scientific challenge that could help advance conservation efforts and grow involvement in AI.
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.
Analytics Vidhya
AUGUST 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Kats model-which is also developed by Facebook Research Team-supports the functionality of multi-variate time-series forecasting in addition to univariate time-series forecasting. Often we need to forecast a time series where we have input variables in addition to ‘time’; this is where the […].
fast.ai
AUGUST 24, 2022
Jupyter notebooks don’t work with git by default. With nbdev2 , the Jupyter+git problem has been totally solved. It provides a set of hooks which provide clean git diffs, solve most git conflicts automatically, and ensure that any remaining conflicts can be resolved entirely within the standard Jupyter notebook environment. To get started, follow the directions on Git-friendly Jupyter.
OpenAI
AUGUST 24, 2022
We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.
DataRobot Blog
AUGUST 8, 2022
Today’s market looks very different than it did in 2021 as global IPO activity hit an all-time high, when DataRobot pursued an aggressive growth strategy and expanded business operations in preparation for the public markets. Since the beginning of the year our team has taken steps to adapt to changing market dynamics and put in place more cost discipline, including the workforce reduction in May.
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Defined.ai blog
AUGUST 22, 2022
At the end of last May, the Defined.ai team participated in ICASSP 2022—or the International Conference on Acoustics, Speech, and Signal Processing—in Singapore. It was a blast, equally because it was my first time in Singapore and because it was the first in-person conference we’d been to since COVID-19 changed the world. Since it’s been so long since any of us have had the opportunity travel for an in-person event like this, I’d like to treat you, our faithful reader, to some highlights about
DeepMind
AUGUST 24, 2022
We came across Zindi – a dedicated partner with complementary goals – who are the largest community of African data scientists and host competitions that focus on solving Africa’s most pressing problems. Our Science team’s Diversity, Equity, and Inclusion (DE&I) team worked with Zindi to identify a scientific challenge that could help advance conservation efforts and grow involvement in AI.
Analytics Vidhya
AUGUST 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction The way big business tycoons run has changed a lot since the past. The concept of “Cloud Computing” has played a major role in this. This implementation of cloud computing technology has led to the need for Cloud Computing Experts. The software team […].
Dlabs.ai
AUGUST 16, 2022
Artificial intelligence can transform any organization. That’s why 37% of companies already use AI , with nine in ten big businesses investing in AI technology. Still, not everyone can appreciate the benefits of AI. Why is that? One of the major hurdles to AI adoption is that people struggle to understand how AI models work. They can see the recommendations but can’t see why they make sense.
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.
OpenAI
AUGUST 24, 2022
Our approach to aligning AGI is empirical and iterative. We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems. Introduction Our alignment research aims to make artificial general intelligence (AGI) aligned with human values and follow human intent.
DataRobot Blog
AUGUST 16, 2022
If you’ve been keeping up with business literature lately, you know that adopting artificial intelligence (AI) strategies can increase company revenue, improve efficiency, and keep customers happy. But even the best models cannot improve performance until they are put into production. What are companies actually doing today? Alexander Rode and Timm Grosser, analysts at the Business Application Research Center (BARC), decided to find out by surveying 248 companies from a variety of industries abo
Kavita Ganesan
AUGUST 11, 2022
When it comes to software automation, many teams turn to AI as their potential answer. AI in the form of machine learning or NLP may be an excellent solution to a problem. But did you know that the best way to start AI initiatives is to start with no AI at all? This may seem counterintuitive, but there’s a simple reason for it. It’s because you may not be ready for AI as a solution.
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