Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […]. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.

Data Platform 400

Data Platform Data Science Python 400

Eugene Yan

OCTOBER 16, 2021

Write before you're ready, write for yourself, quantity over quality, and a few other lessons.

100

100

DeepMind

OCTOBER 17, 2021

When you walk, your feet make contact with the ground. When you write, your fingers make contact with the pen. Physical contacts are what makes interaction with the world possible. Yet, for such a common occurrence, contact is a surprisingly complex phenomenon. Taking place at microscopic scales at the interface of two bodies, contacts can be soft or stiff, bouncy or spongy, slippery or sticky.

Robotics 57

Robotics 57

Salmon Run

OCTOBER 17, 2021

In July this year, a group of us on the TWIML Slack Channel came together and participated in the Flax/JAX Community Week organized by Hugging Face and Google Cloud. Our project was about fine-tuning the CLIP Model from OpenAI with the RSICD (Remote Sensing Image Captioning Dataset), and ended up placing third.

OpenAI 52

OpenAI Deep Learning Python 52

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

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon Overview What is a Framework FrontEnd vs BackEnd What is Flask Framework Installation of Flask Creating our first Flask app Routing Static Route vs Dynamic Route HTML Injections HTML Escaping Hypertext Transfer Protocol GET and POST Methods What is a Framework? The framework […].

Data Science 400

Data Science Python 400

Applied Data Science

OCTOBER 16, 2021

The leaderboard for the ‘trappiest’ chess openings —  [link] The definitive guide to ranking the best chess traps using stats In this blog post, we will use cold hard stats (and Python) to calculate the best chess traps! ? ? What’s a chess trap? Let’s start with a definition: A trap is a position where a player is likely to play a move that when followed by the optimal response, results in a position where the player is likely to lose.

Data Science 52

Data Science Python AI AI 52

DeepMind

OCTOBER 17, 2021

When you walk, your feet make contact with the ground. When you write, your fingers make contact with the pen. Physical contacts are what makes interaction with the world possible. Yet, for such a common occurrence, contact is a surprisingly complex phenomenon. Taking place at microscopic scales at the interface of two bodies, contacts can be soft or stiff, bouncy or spongy, slippery or sticky.

Robotics 44

Robotics 44

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon It was just past the midway mark of 2019 and the Internet casually decided to trick us as it normally does. An optical illusion went viral on Twitter which depicted a gray image that looked colored! Confused? Well, let’s dive deep in then! […]. The post Learn how to make your own Optical Illusion in Python appeared first on Analytics Vidhya.

Python 387

Python Data Science Computer Vision 387

James Thorn

OCTOBER 19, 2021

A core element of the Internet of the Future Continue reading on Medium »

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning 52

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Generative AI

O'Reilly Media

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new

DevOps 138

DevOps Software Engineer Data Scientist ML 138

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon There are many ways a machine can be taught to generate an output on unseen data. The technological advancement in different sectors has left everyone shocked. we are now at a point where deep learning and neural networks are so powerful that can […]. The post An End-to-End Introduction to Generative Adversarial Networks(GANs) appeared first on Analytics Vidhya.

Neural Network 377

Neural Network Deep Learning Data Science Computer Vision 377

Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon Image credits: Taras Bakusevych Data is the new oil we have heard it so many times. But can we visualize that data in a proper format? With the amount of data at our disposal today, the need to extract insights from it is […]. The post 10 Ideas that every Professional should avoid for Data Visualization appeared first on Analytics Vidhya.

Data Science 375

Data Science Python 375

Analytics Vidhya

OCTOBER 17, 2021

This article was published as a part of the Data Science Blogathon Introduction to Matplotlib If you are interested in data analytics or data visualization you are at the right place to get started. So let’s start with the simple introduction about, Data visualization which is the process of translating the numbers, text, or large data […].

Python 353

Python Data Science 353

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.

LLM

Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon Overview Though it is believed that tech enthusiasts are passing through the golden age of Artificial Intelligence, engineers and scientists still need to explore miles while progressing on their journey to Deep Learning projects. Either it is calibrating time-series models, processing Bayesian deep […].

Deep Learning 348

Deep Learning Artificial Intelligence Artificial Intelligence Data Science 348

Analytics Vidhya

OCTOBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction Unstructured text data can be a problem while solving NLP problems. There is a need to pre-process any unstructured text data in order for us to build an effective NLP model. Hence pre-processing textual data is an important step while building any NLP […]. The post Cleaning and Pre-processing textual data with NeatText library appeared first on Analytics Vidhya.

NLP 348

NLP Data Science Python 348

Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon A voice recorder records a sound or a voice of a person and converts it into an audio file. The file can be stored in different audio formats like MP3 format, Waveform Audio File (WAV), Advanced Audio Coding (AAC), Audio Interchange File Format […]. The post Build A Voice Recorder Using Python appeared first on Analytics Vidhya.

Python 338

Python Data Science 338

Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon What does this article entail? Forest, bush, or vegetarian fire, can be described as any uncontrolled and non-prescribed combustion or burning of plants in a natural setting such as a forest, grassland, etc. In this article we are not determining if a forest […]. The post Forest Fire prediction using Machine Learning appeared first on Analytics Vidhya.

Machine Learning 337

Machine Learning Data Science Python 337

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Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon Overview Hadoop is widely used in the industry to examine large data volumes. The reason for this is that the Hadoop framework is based on a basic programming model (MapReduce), which allows for a scalable, flexible, fault-tolerant, and cost-effective computing solution. Table of […].

Data Science 337

Data Science Python 337

Analytics Vidhya

OCTOBER 22, 2021

This article was published as a part of the Data Science Blogathon Introduction Working as an ML engineer, it is common to be in situations where you spend hours to build a great model with desired metrics after carrying out multiple iterations and hyperparameter tuning but cannot get back to the same results with the […]. The post Tracking Your Machine Learning Project Changes with Neptune appeared first on Analytics Vidhya.

Machine Learning 337

Machine Learning ML Engineer Data Science ML 337

Analytics Vidhya

OCTOBER 17, 2021

This article was published as a part of the Data Science Blogathon Introduction The waterfall chart is a 2-Dimensional chart that is specially used to understand the effects of incremental positive and negative changes over time or over multiple steps or a variable. The waterfall charts are also known as Floating Bricks Charts, Flying Bricks Charts. […].

Explainability 337

Explainability Data Science Python 337

Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon If you are a machine learning and AI enthusiast, you must have come across the word perceptron. Perceptron is taught in the first chapter of many deep learning courses. So what exactly it is? What is the inspiration behind it? How exactly it […]. The post Perceptron: Building Block of Artificial Neural Network appeared first on Analytics Vidhya.

Neural Network 331

Neural Network Deep Learning Machine Learning Data Science 331

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

OCTOBER 18, 2021

This article was published as a part of the Data Science Blogathon Learn how machine learning pipelines are used in productions and design your first pipeline using simple steps on disaster tweets classification datasets. You will also learn how to ingest the data, preprocess, train, and eventually evaluate the results. Image 1 Introduction In this […].

Machine Learning 328

Machine Learning Data Science ML Python 328

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon It was 6:30 AM on a Thursday, I got a call from my senior regarding a project on sentiment analysis. Honestly, I was dreaming and I was very much sleepy, Thanks to the call recorder that helped me listen to the requirements and […]. The post Sentiment Analysis with TextBlob and Vader appeared first on Analytics Vidhya.

Data Science 322

Data Science NLP 322

Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon Introduction to Deepfakes Deepfakes are AI-generated synthetic videos of any person or celebrity that impersonates the actual person and makes them act or say anything they originally never did. The process of creation of deepfakes is technically complex and generally requires a vast […].

Data Science 315

Data Science AI AI Computer Vision 315

Analytics Vidhya

OCTOBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction Hello, everyone.? We know the IPL season is going on and we are all eager to know who will win the match beforehand and in the media, there is hype around the winning chances. What if I say we can make an app […]. The post Building an IPL Score Predictor – End-To-End ML Project appeared first on Analytics Vidhya.

ML 315

ML Data Science Python Machine Learning 315

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Data Analysis

Analytics Vidhya

OCTOBER 17, 2021

This article was published as a part of the Data Science Blogathon Introduction Hola folks. Have you ever got confused in Python’s Lambda, Map, Filter, and Reduce? Huh? No worries, I’ve got you covered. In this article, we will be clearing all the confusion you might have had. Specifically, after reading this article, you will know: […].

Python 306

Python Data Science 306

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, I will be discussing chunking both theoretically and practically in Python. So, let’s begin… NOTE: For the implementation, its better to use the Python IDLE as the output is a drawing of a tree which pops up in […]. The post What is Chunking in Natural Language processing?

Natural Language Processing 305

Natural Language Processing Python Data Science NLP 305

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon Introduction There are many projects all over the internet talking about Twitter sentiment analysis. All these projects talk about finding the sentiment of tweets that are scrapped already. The datasets that these projects use are structured datasets scrapped for a specific purpose. But, […].

Data Science 296

Data Science NLP Python 296