Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […]. The post Understanding Loss Function in Deep Learning appeared first on Analytics Vidhya.
DeepMind
JUNE 22, 2022
Avishkar Bhoopchand, a research engineer on the Game Theory and Multi-agent team, shares his journey to DeepMind and how he’s working to raise the profile of deep learning across Africa.
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Cold Takes
JUNE 23, 2022
Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. Note: anything in this post that you think is me subtweeting your organization is actually about, like, at least 3 organizations. (I'm currently on 4 boards in addition to Open Philanthropy 's; I've served on a bunch of other boards in the past; and more than half of my takes on boards are not based on any of this, but rather on my interactions with boards I'm not on via the many grants made by O
DataRobot Blog
JUNE 23, 2022
A loan application has a predicted likelihood of 80% of going bad – so what? Your artificial intelligence (AI) system has given you this “predicted feature” in addition to what you already know about the applicant. It is one of many features that a human would use to make a decision to accept or decline the application. Business rules set by the credit committee to control business risk and the loan portfolio also constrain accepting this application and advancing the loan.
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
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. [link] Introduction How many rows of sample data are required (or what should be the size of the training dataset required) to build a machine learning model that can predict fraudulent transactions in a credit card fraud detection dataset containing around 284407 rows? […]. The post Is Adult Income Dataset Imbalanced?
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Explosion
JUNE 21, 2022
In this video, we’ll show you how to use Prodigy for spaCy’s Span Categorizer. We’ll be annotating food recipes and looking into ways to help with consistent annotations and speed up the process with patterns and temporary models.
James Thorn
JUNE 20, 2022
Reflections on machine intelligence Continue reading on Medium »
Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction If you have been paying close attention to the blockchain industry, then you have undoubtedly been familiar with the words “Web 2.0” and “Web 3.0.” There’s a good chance that you’re confused about the precise meaning of these phrases and how they […].
DataRobot Blog
JUNE 21, 2022
The last few years have been plagued with uncertainty, making it difficult to navigate everyday life, let alone plan and make thoughtful decisions for a business. When facing unprecedented challenges, it’s clearer than ever that while the predictions from your AI models are important, the insights we gather and leverage from them to inform the decisions we make are even more so.
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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?
DeepMind
JUNE 19, 2022
We present BYOL-Explore, a conceptually simple yet general approach for curiosity-driven exploration in visually-complex environments. BYOL-Explore learns a world representation, the world dynamics, and an exploration policy all-together by optimizing a single prediction loss in the latent space with no additional auxiliary objective. We show that BYOL-Explore is effective in DM-HARD-8, a challenging partially-observable continuous-action hard-exploration benchmark with visually-rich 3-D environ
James Thorn
JUNE 21, 2022
Explained with an everyday example Continue reading on Medium »
Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Big Query is a serverless enterprise data warehouse service fully managed by Google. Big Query provides nearly real-time analytics of massive data. A big Query data warehouse provides global availability of data, can be easily connected to the other Google Services and […].
DataRobot Blog
JUNE 24, 2022
How do you determine which real estate investment decision is better than another? Many real estate players have long made decisions based on intuition coupled with analyzing traditional key retrospective data. That traditional approach normally included analyzing how real estate property assets performed in the past but also often looking for market trends.
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.
DeepMind
JUNE 19, 2022
We present BYOL-Explore, a conceptually simple yet general approach for curiosity-driven exploration in visually-complex environments. BYOL-Explore learns a world representation, the world dynamics, and an exploration policy all-together by optimizing a single prediction loss in the latent space with no additional auxiliary objective. We show that BYOL-Explore is effective in DM-HARD-8, a challenging partially-observable continuous-action hard-exploration benchmark with visually-rich 3-D environ
Analytics Vidhya
JUNE 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Most people tend to have a very minimal set of information about Alluvial and Sankey diagrams. The reality is that the two diagrams have superficial similarities to each other. On the flip side, the two diagrams are completely different, underlying superficial assumptions. […].
Analytics Vidhya
JUNE 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see the two main cryptocurrencies, Bitcoin and Ethereum. Let us learn about them. What differences do they have and which coin is best for investment and what makes that particular coin better. Nowadays cryptocurrencies are quite popular. […].
Analytics Vidhya
JUNE 18, 2022
This article was published as a part of the Data Science Blogathon. Introduction on MYSQL In this article, we will see how to work with multiple tables. Learning SQL is very important nowadays. It is a very popular technology that most companies are using. SQL queries are used for querying tables in the process of data analysis. […]. The post Multi-Table Analysis with MYSQL appeared first on Analytics Vidhya.
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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
JUNE 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction to Speeding up Pandas in Python Pandas is the most popular library in python for Data Science. It is essential for anyone doing anything related to the data processing to know. This Link provides a lot of ways to use the library. However, […]. The post Speed up Pandas in Python with Modin appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 18, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Web 3.0 As a result of centralization, the Internet has been able to serve billions of users and build a solid foundation upon which it can continue to thrive. At the same time, the World Wide Web is controlled by a few […]. The post Data Science in Web 3.0 appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Blockchain Web3 is the latest buzzword in the world of technology. Web3 revolves around the concept of a decentralized web, primarily built using blockchain. Blockchain has been around for a while now and came into the limelight because of Bitcoin. Many get […].
Analytics Vidhya
JUNE 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Explainable AI I love artificial intelligence and I like to delve into it a lot in all or all aspects, and I do the follow-up every day to see what is new in this field. I made the latest update to […]. The post The Most Comprehensive Guide On Explainable AI 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
JUNE 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction When we mention BigData, one of the types of data usually talked about is the Streaming Data. Streaming Data is generated continuously, by multiple data sources say, sensors, server logs, stock prices, etc. These records are usually small and in the order […]. The post Handling Streaming Data with Apache Kafka – A First Look appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction to Data Engineering In recent days the consignment of data produced from innumerable sources is drastically increasing day-to-day. So, processing and storing of these data has also become highly strenuous. Emerging technologies such as Data Engineering, Artificial Intelligence and Machine learning algorithms help us to handle […].
Analytics Vidhya
JUNE 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction The simulation of human intelligence processes by machines, particularly computer systems, is known as artificial intelligence. Expert systems, natural language processing, speech recognition, machine learning, and machine vision are examples of AI applications. For these above tasks, we are using different types […].
Analytics Vidhya
JUNE 18, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Blockchain In this article, we will learn about blockchain, what is blockchain, how transactions are made, and how bitcoin transactions are made. Nowadays we are hearing about many attacks on computer system security. There is no guaranteed security. This is where blockchain […].
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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
JUNE 18, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Docker Image I created this flow diagram for you to get a simpler idea before deep diving into docker. By looking at this diagram you can understand what is really happening while we are using docker. After docker is installed I […]. The post Getting Started With Docker Image appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction on SQL In this article, we will see how to use SQL statements for data analysis. Data analysis can be done on only single tables or on multiple tables. In this particular article, we will mainly focus on only a single table analysis. […]. The post Single Table Analysis with MYSQL appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven age, an enormous amount of data is getting generated every day from various sources such as social media, e-commerce websites, stock exchanges, transaction processing systems, emails, medical records, etc. This data is a combination of structured, unstructured, and semi-structured […].
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