Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision techniques, deep learning skills will also be required, i.e. We will use the deep learning […]. The post Face detection using the Caffe model appeared first on Analytics Vidhya.
BAIR
APRIL 29, 2022
Deep reinforcement learning (DRL) is transitioning from a research field focused on game playing to a technology with real-world applications. Notable examples include DeepMind’s work on controlling a nuclear reactor or on improving Youtube video compression , or Tesla attempting to use a method inspired by MuZero for autonomous vehicle behavior planning.
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DataRobot Blog
APRIL 29, 2022
With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. When business decisions are made based on bad models, the consequences can be severe.
DeepMind
APRIL 27, 2022
We caught up with Kevin Millikin, a software engineer on the DevTools team. He’s in Salt Lake City this week to present at PyCon US, the largest annual gathering for those using and developing the open-source Python programming language.
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
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell. So this time I’ll be answering some of the factual questions about SQL which every beginner needs to know before getting […]. The post Introduction to SQL for Data Engineering appeared first on Analytics Vidhya.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
NLPhilia
APRIL 25, 2022
Four placebo pills a day work better than two. Blue placebo pills are superior at improving sleep; you’ll want green placebo pills for reducing anxiety. But placebo capsules beat placebo pills—and placebo injections were even better. Oh, and expensive, brand-name placebos beat cheap generic ones. Huh? Why would the method of administration make such a difference when the (inactive) substance delivered was always the same?
DeepMind
APRIL 27, 2022
We caught up with Kevin Millikin, a software engineer on the DevTools team. He’s in Salt Lake City this week to present at PyCon US, the largest annual gathering for those using and developing the open-source Python programming language.
Analytics Vidhya
APRIL 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to talk about data streaming with apache spark in Python with codes. We will also talk about how to persist our streaming data into MongoDB.We have already covered the basics of Pyspark in the last article […]. The post Spark Data Streaming with MongoDB appeared first on Analytics Vidhya.
The Stanford AI Lab Blog
APRIL 25, 2022
The International Conference on Learning Representations (ICLR) 2022 is being hosted virtually from April 25th - April 29th. We’re excited to share all the work from SAIL that’s being 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!
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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?
Explosion
APRIL 28, 2022
spaCy v3.3 improves the speed of core pipeline components, adds a new trainable lemmatizer, and introduces trained pipelines for Finnish, Korean and Swedish.
DeepMind
APRIL 27, 2022
We introduce Flamingo, a single visual language model (VLM) that sets a new state of the art in few-shot learning on a wide range of open-ended multimodal tasks.
Analytics Vidhya
APRIL 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to introduce you to Docker tutorial and will further learn the basic commands as well from installing docker, Pulling images from the hub to running Linux machines in docker. Let’s first understand the challenges we face […]. The post Docker Tutorial for Beginners Part-I appeared first on Analytics Vidhya.
BAIR
APRIL 25, 2022
Figure 1: Summary of our recommendations for when a practitioner should BC and various imitation learning style methods, and when they should use offline RL approaches. Offline reinforcement learning allows learning policies from previously collected data, which has profound implications for applying RL in domains where running trial-and-error learning is impractical or dangerous, such as safety-critical settings like autonomous driving or medical treatment planning.
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.
Explosion
APRIL 25, 2022
An introduction to the compact word vectors with Bloom embeddings used in Thinc, spaCy and floret.
DeepMind
APRIL 27, 2022
We introduce Flamingo, a single visual language model (VLM) that sets a new state of the art in few-shot learning on a wide range of open-ended multimodal tasks.
Analytics Vidhya
APRIL 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article let’s discuss one among the very popular and handy web-scraping tools Octoparse and its key features and how to use it for our data-driven solutions. Hope you all are familiar with “WEB SCRAPING” techniques and the captured data has […]. The post Exploring Octoparse Web Scraping tool for Data Preparations appeared first on Analytics Vidhya.
Marek Rei
APRIL 28, 2022
I am sharing here the yearly paper analysis for 2021, containing statistics about ML and NLP publications from the past year. It has arrived later than in previous years - preparing it this time took quite a bit longer than intended. The new data required some manual cleaning and updating of the pipeline, which meant the analysis got delayed quite a bit.
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Analytics Vidhya
APRIL 24, 2022
This article was published as a part of the Data Science Blogathon. Introduction One of the most widely used applications in Deep Learning is Audio classification, in which the model learns to classify sounds based on audio features. When given the input, it will predict the label for that audio feature. These can be used […]. The post Guide to Audio Classification Using Deep learning appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 29, 2022
This article was published as a part of the Data Science Blogathon. Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. The data-driven workflow in ADF orchestrates and automates the data movement and data transformation. In this article, I’ll show […].
Analytics Vidhya
APRIL 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this blog, let’s explore how to train a state-of-the-art text classifier by using the models and data from the famous HuggingFace Transformers library. We will see how to load the dataset, perform data processing, i.e. tokenisation and then use the processed […].
Analytics Vidhya
APRIL 25, 2022
This article was published as a part of the Data Science Blogathon. Introduction Amazon’s Redshift Database is a cloud-based large data warehousing solution. Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system. The datasets range in size from a few 100 megabytes to a petabyte. […].
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
APRIL 26, 2022
Introduction on Bayesian Approach The entire world of statistical rigour is split into two parts one is a Bayesian approach and the other is a frequentist. And it has been a moot point for statisticians throughout the century which one is better than the other. It is safe to say that the century has been […]. The post Bayesian Approach to Regression Analysis with Python appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 29, 2022
Dear Readers, We are happy to announce that we are giving free access to all our readers of a course that’s so much in demand. Fundamentals of Microsoft Azure Introduction to Fundamentals of Microsoft Azure As we know, analyzing data is the need of the hour that businesses are looking for. Through data, companies can […]. The post Free Access to Fundamentals of Microsoft Azure Course appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 27, 2022
This article was published as a part of the Data Science Blogathon. Implement Jinja in Flask, FastAPI, Django, and many more to come Web 2.0 has introduced the concept of delivering user-centric interactive content. In the very early stage of the internet, the content delivered had static files. Fast forward to the current situation: Everything you […].
Analytics Vidhya
APRIL 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Power BI As part of our discussion, we will discuss the features of Power BI, its benefits, and a detailed description of how to use it for presenting data using an example and creating reports. Business today generates enormous amounts of […]. The post An End-to-End Introduction Guide on Power BI appeared first on Analytics Vidhya.
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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
APRIL 28, 2022
This article was published as a part of the Data Science Blogathon. […]. The post An End-to-End Guide on Time Series Forecasting Using FbProphet appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Jupyter notebook is an important data science tool. It is used by many data science professionals to do exploratory data analysis and also to prototype machine learning models. It helps beginners pick up data science concepts easily. Sometimes we might want […].
Analytics Vidhya
APRIL 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction on PySpark’s DataFrame From this article, I’m starting the PySpark’s DataFrame tutorial series and this is the first arrow. In this particular article, we will be closely looking at how to get started with PySpark’s data preprocessing techniques, introducing what PySpark’s DataFrame looks […].
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