Analytics Vidhya
MAY 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The main reason for the advancement in this field is the increase in the computational power and […].
Eugene Yan
MAY 7, 2022
Industry examples, exploration strategies, warm-starting, off-policy evaluation, and more.
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DataRobot Blog
MAY 10, 2022
Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the
Explosion
MAY 11, 2022
This talk discusses spaCy’s philosophy for modern NLP, its extensible design and new recent features to enable the development of advanced natural language processing pipelines for typologically diverse languages.
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
MAY 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data. The Apache Flume tool is designed mainly for ingesting a high volume […]. The post Get to Know Apache Flume from Scratch!
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
DataRobot Blog
MAY 12, 2022
Artificial Intelligence (AI) is transforming the world from customized recommendations to more efficient financial decisions. In the public sector , AI has the power to tackle the government’s toughest homeland security missions in a responsible manner. DataRobot is a proud partner enabling governments and organizations to face their unique challenges and leverage AI for value they can trust.
DeepMind
MAY 11, 2022
Inspired by progress in large-scale language modelling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs. The agent, which we refer to as Gato, works as a multi-modal, multi-task, multi-embodiment generalist policy. The same network with the same weights can play Atari, caption images, chat, stack blocks with a real robot arm and much more, deciding based on its context whether to output text, joint torques, button presses, or other tokens.
Analytics Vidhya
MAY 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working to develop an application from computer vision techniques that will reverse the video, and also, we will be able to save that reversed video in our local system. In this application, we will also have […]. The post Reversing the Video Using Computer Vision appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task. The AutoML model aims to automate all actions which require more time, such as algorithm selection, […].
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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?
Analytics Vidhya
MAY 9, 2022
This article was published as a part of the Data Science Blogathon. Introduction Dealing with sequential data is considered one of the hardest problems to solve in the Data science industry. Standard neural networks have paved a new path in the rising AI industry. It worked very well with tabular data but every new invention in […]. The post An Introduction to Long Short-Term Memory (LSTMs) appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Configuration Let’s You have a job crunching trillions of image data points to extract insights, and you don’t have sufficient storage or processing power to do it, so what will you do – Stop in the Middle or Get […]. The post Configure Jupyter Notebook On AWS In 2-Steps appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Apache Flume Apache Flume is a platform for aggregating, collecting, and transporting massive volumes of log data quickly and effectively. It is very reliable and robust. Its design is simple, based on streaming data flows, and written in the Java programming […].
Analytics Vidhya
MAY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction on RAPIDS How often has it happened that you had to wait for hours staring blankly at your screen, waiting for your ML Model to get trained? Quite often, I guess. Like Data Science enthusiasts, we all have found ourselves prolonged model training processes. […]. The post A Comprehensive Guide GPU Acceleration with RAPIDS appeared first on Analytics Vidhya.
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.
Analytics Vidhya
MAY 9, 2022
This article was published as a part of the Data Science Blogathon. Source – bounteous.com Introduction Time Series Analysis and Forecasting is a very pronounced and powerful study in data science, data analytics and Artificial Intelligence. It helps us to analyse and forecast or compute the probability of an incident, based on data stored with respect to […].
Analytics Vidhya
MAY 11, 2022
Overview on Text-Based Classification Using AI Analytics Vidhya has long been at the forefront of imparting data science knowledge to its community. With the intent to make learning data science more engaging to the community, we began with our new initiative- “DataHour”. DataHour is a series of webinars by top industry experts where they teach […].
Analytics Vidhya
MAY 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking at how to handle the missing values using PySpark, as we all know that handling the missing value is one of the most critical parts of any data exploration and analysis pipeline and when we […]. The post Data Preprocessing Using PySpark – Handling Missing Values appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 7, 2022
Introduction on Data Visualization Data Visualization is an interdisciplinary discipline concerned with the visual depiction of data. When the data is large, such as in a time series, it is a very effective manner of communicating. This representation may be thought of as a mapping between the original data and visual components from an academic […].
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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.
Analytics Vidhya
MAY 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Logistic Regression This article aims to take you through the process of performing a Logistic Regression algorithm in python to classify whether clients will subscribe to term deposit or not. Logistic Regression is used for classification problems. It is used to […].
Analytics Vidhya
MAY 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Cosmos DB Hello! Data Engineers, I am sure this simple article will help you guys better understand Cosmos DB from Azure with nice features. Recently many customers have been looking forward to implementing the Data Migration into Cosmos DB. Before getting […].
Analytics Vidhya
MAY 11, 2022
Dear Readers, We bring you yet another exciting DataHour session for you. This session will be conducted by Amitayu, who will share his journey in analytics problems. Analytics is everywhere around us. Amitayu is currently working as a Senior Manager in the field of Applied Intelligence, Strategy and Consulting at Accenture. He has a rich […].
Analytics Vidhya
MAY 8, 2022
Analytics Vidhya is back with its 20th Edition of the Data Science Blogathon which is live from TODAY! So the wait is over, click here to Register Now! Introduction The Data Science Blogathon by Analytics Vidhya began with a simple mission: To bring together a large community of data science enthusiasts to share their knowledge […]. The post Data Science Blogathon 20th Edition appeared first on Analytics Vidhya.
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.
Analytics Vidhya
MAY 7, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Perceptron Class Deep learning is something that is ruling the markets and will continue to do for a long period of time, before starting with it we must understand what perceptron is. The origin of deep learning is often attributed to […]. The post Implementation of the Perceptron Class from Scratch appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 10, 2022
Have you ever wondered if it is possible to get access to your dream data science job like a piece of cake? Life would be far easier if you didn’t have to scroll through job sites and referral sites to find and apply for the data science jobs you wanted. The ideal scenario each aspiring […]. The post Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job appeared first on Analytics Vidhya.
DeepMind
MAY 11, 2022
Inspired by progress in large-scale language modelling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs. The agent, which we refer to as Gato, works as a multi-modal, multi-task, multi-embodiment generalist policy. The same network with the same weights can play Atari, caption images, chat, stack blocks with a real robot arm and much more, deciding based on its context whether to output text, joint torques, button presses, or other tokens.
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