Analytics Vidhya
NOVEMBER 15, 2021
This article was published as a part of the Data Science Blogathon Table of Contents Introduction About the Dataset Let’s Go 2D Scatter Plot 3D Scatter Plot Pair Plot Histogram Univariate Analysis using PDF CDF Mean, Variance, and Standard Deviation Median, Percentile, Quantile, IQR, MAD Box Plot Violin Plot Multivariate Probability Density Contour Plot Final Note […].
DeepMind
NOVEMBER 1, 2021
When people picture a world with artificial general intelligence (AGI), robots are more likely to come to mind than enabling solutions to society’s most intractable problems. But I believe the latter is much closer to the truth. AI is already enabling huge leaps in tackling fundamental challenges: from solving protein folding to predicting accurate weather patterns, scientists are increasingly using AI to deduce the rules and principles that underpin highly complex real-world domains - ones they
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Eugene Yan
NOVEMBER 27, 2021
Met most of my goals, adopted a puppy, and built ApplyingML.com.
Dlabs.ai
NOVEMBER 29, 2021
Artificial intelligence is an invaluable educational resource. The technology enables students to follow guided, hyper-personalized paths, delivering just the right difficulty level for them to learn at their best. After all, overly simple — or excessively demanding — materials only irritate, even overwhelm, students. In contrast, if the appropriate resources push students just far enough, they will become more focused and, consequently, more willing to learn.
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
Explosion
NOVEMBER 23, 2021
We are happy to introduce a new, experimental, machine learning-based lemmatizer that posts accuracies above 95% for many languages. This lemmatizer learns to predict lemmatization rules from a corpus of examples and removes the need to write an exhaustive set of per-language lemmatization rules. spaCy provides a Lemmatizer component for assigning base forms ( lemmas ) to tokens.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
NOVEMBER 15, 2021
This article was published as a part of the Data Science Blogathon Introduction In this article, you will learn how to build a face-recognition system using Python. Face recognition is a step further to face detection. In face detection, we only detect the location of the human face in an image but in face recognition, we […]. The post Build Face Recognition Attendance System using Python appeared first on Analytics Vidhya.
DeepMind
NOVEMBER 30, 2021
More than a century ago, Srinivasa Ramanujan shocked the mathematical world with his extraordinary ability to see remarkable patterns in numbers that no one else could see. The self-taught mathematician from India described his insights as deeply intuitive and spiritual, and patterns often came to him in vivid dreams.
Eugene Yan
NOVEMBER 24, 2021
More than two dozen interviews with ML Practitioners sharing their stories and advice
Dlabs.ai
NOVEMBER 17, 2021
Product: Google Cloud We are happy to announce that DLabs.AI joined the Google Cloud Partner Advantage Program as a Service Partner. As a Google Cloud partner, DLabs.AI offers its customers the ability to quickly and easily transform their current environment to a reliable, innovative cloud infrastructure. Its machine learning, big data and cloud engineering expertise, combined with the various capabilities Google Cloud offers, will allow DLabs.AI to deliver the best solutions to customers and
Advertisement
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?
Explosion
NOVEMBER 16, 2021
Machine Learning Engineers who turn prototypes into production-ready software face difficulties with the lack of tooling and best-practices. spaCy v3, with its configuration and project system, introduced a way to solve this problem. Here’s my take on how it works, and how it can ramp-up your team! I’ve been using spaCy for a few years now, as I did a lot of NLP projects both during my studies and previous work.
fast.ai
NOVEMBER 3, 2021
Things can go disastrously wrong in data science and machine learning projects when we undervalue data work, use data in contexts that it wasn’t gathered for, or ignore the crucial role that humans play in the data science pipeline. A new multi-university centre focused on Information Resilience , funded by the Australian government’s top scientific funding body (ARC), has recently launched.
Analytics Vidhya
NOVEMBER 22, 2021
This article was published as a part of the Data Science Blogathon. Welcome to the World of Time Series Analysis! From this article, you will learn how to perform time series analysis using the ARIMA model (with code!). The dataset used in this article can be downloaded here. The usage time series data consist of the […]. The post Performing Time Series Analysis using ARIMA Model in R appeared first on Analytics Vidhya.
DeepMind
NOVEMBER 30, 2021
Our main results prove that while reward can express many tasks, there exist instances of each task type that no Markov reward function can capture. We then provide a set of polynomial-time algorithms that construct a reward function which allows an agent to optimize tasks of each of these three types, and correctly determine when no such reward function exists.
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
Eugene Yan
NOVEMBER 6, 2021
Susan shares 5 lessons she gained from writing online in public over the past year.
Dlabs.ai
NOVEMBER 14, 2021
According to the IDF Diabetes Atlas Report , there are over 537 million adults with diabetes worldwide. And that number is only rising. By 2045, forecasts suggest some 784 million adults will have the illness. That said, there’s nothing to stop them from living a normal life. Diabetics just have to factor in one consideration: monitoring their health on a daily basis.
Explosion
NOVEMBER 4, 2021
We’re pleased to present v3.2 of the spaCy Natural Language Processing library. Since v3.1 we’ve added usability improvements for custom training and scoring, improved performance on Apple M1 and Nvidia GPU hardware, and support for space-efficient vectors using floret , our new hash embedding extension to fastText. The spaCy team has gotten a lot bigger this year, and we’ve got lots of exciting features and examples coming up, including example projects for data augmentation and model distillat
James Thorn
NOVEMBER 14, 2021
Learn how to contribute to the Parchain auction of the Manta Network project and the possible ROI of the Investment Continue reading on Medium »
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
NOVEMBER 17, 2021
This article was published as a part of the Data Science Blogathon Solving Machine learning Problems in a local system is only not the case but making it able to community to use is important otherwise the model is up to you only. When it is able to serve then you came to know the feedback and […]. The post How to Deploy Machine Learning(ML) Model on Android appeared first on Analytics Vidhya.
DeepMind
NOVEMBER 30, 2021
More than a century ago, Srinivasa Ramanujan shocked the mathematical world with his extraordinary ability to see remarkable patterns in numbers that no one else could see. The self-taught mathematician from India described his insights as deeply intuitive and spiritual, and patterns often came to him in vivid dreams.
fast.ai
NOVEMBER 22, 2021
The phrase “data science for social good” is a broad umbrella, ambiguously defined. As many others have pointed out , the term often fails to specify good for whom. Data science for social good can be used to refer to: nonprofits increasing their impact through more effective data use, hollow corporate PR efforts from big tech, well-intentioned projects that inadvertently result in surveillance and privacy invasion of marginalized groups, efforts seeped in colonialism, or many other types of pro
Dlabs.ai
NOVEMBER 3, 2021
When Amazon introduced ‘ 1-click ’ in 1997, retailers trembled. The innovation gave customers a way to purchase anything from the eCommerce store with just one click. And the feature soon set the standard for buying anything online. Fast forward to today, and expectations have shifted again. Consumers now think that retailers should know what they want, often before they realize it themselves.
Advertisement
After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!
Explosion
NOVEMBER 23, 2021
We are happy to introduce a new, experimental, machine learning-based lemmatizer that posts accuracies above 95% for many languages. This lemmatizer learns to predict lemmatization rules from a corpus of examples and removes the need to write an exhaustive set of per-language lemmatization rules.
James Thorn
NOVEMBER 7, 2021
Learn how to contribute to the Parchain auction of the Acala team and the possible ROI of the Investment Continue reading on Medium »
Analytics Vidhya
NOVEMBER 24, 2021
This article was published as a part of the Data Science Blogathon. Introduction With the rising use of the Internet in today’s society, the quantity of data created is incomprehensibly huge. Even though the nature of individual data is straightforward, the sheer amount of data to be analyzed makes processing difficult for even computers. To […].
DeepMind
NOVEMBER 8, 2021
Our brain has an amazing ability to process visual information. We can take one glance at a complex scene, and within milliseconds be able to parse it into objects and their attributes, like colour or size, and use this information to describe the scene in simple language. Underlying this seemingly effortless ability is a complex computation performed by our visual cortex, which involves taking millions of neural impulses transmitted from the retina and transforming them into a more meaningful f
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.
The Stanford AI Lab Blog
NOVEMBER 5, 2021
The Conference on Robot Learning (CoRL 2021) will take place next week. We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford! List of Accepted Papers LILA: Language-Informed Latent Actions Authors : Siddharth Karamcheti*, Megha Srivastava*, Percy Liang, Dorsa Sadigh Contact : skaramcheti@cs.stanford.edu, megha@c
Lexalytics
NOVEMBER 23, 2021
With the rise of natural disasters exacerbated by climate change, governments and agencies struggle to coordinate effective relief programs. Artificial intelligence (AI), machine learning ( ML ), and natural language processing ( NLP ) can help. Here’s how. The cost of natural disasters is at an all-time high Natural disasters wreak havoc around the world every year.
Explosion
NOVEMBER 16, 2021
The road to production has become increasingly harder. Machine Learning Engineers who turn prototypes into production-ready software face difficulties with the lack of tooling and best-practices. spaCy v3, with its configuration and project system, introduced a way to solve this problem. Here's my take on how it works, and how it can ramp-up your team!
Expert insights. Personalized for you.
399 
Let's personalize your content