Analytics Vidhya

SEPTEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. Unlike hackathons, where we are supposed to come up with a theme-oriented project within the stipulated time, blogathons are different. Blogathons are competitions that are conducted for over a month […].

Data Extraction 400

Data Extraction Data Analysis Data Science Data Mining 400

DeepMind

SEPTEMBER 28, 2021

Our lives are dependent on the weather. At any moment in the UK, according to one study, one third of the country has talked about the weather in the past hour, reflecting the importance of weather in daily life. Amongst weather phenomena, rain is especially important because of its influence on our everyday decisions. Should I take an umbrella? How should we route vehicles experiencing heavy rain?

AI 57

AI AI 57

Revolutions

SEPTEMBER 27, 2021

by Hong Ooi This article is a lightly-edited version of the "Microsoft365R and Shiny" vignette in the latest Microsoft365R release. We describe how to incorporate Microsoft365R and interactive authentication with Azure Active Directory (AAD) into a Shiny web app. There are a few steps involved: Register your app with AAD Use the app ID to authenticate and get an OAuth token Pass the token to the Microsoft365R functions App registration The default Microsoft365R app registration only wo

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Analytics Vidhya

SEPTEMBER 30, 2021

This article was published as a part of the Data Science Blogathon What is Artificial Intelligence We have come a long way in the field of Machine Learning / Deep learning that we are now very much interested in AI (Artificial Intelligence), in this article we are going to introduce you to AI. The short and […]. The post Introduction to Artificial Intelligence for Beginners appeared first on Analytics Vidhya.

Artificial Intelligence 400

Artificial Intelligence Artificial Intelligence Deep Learning Machine Learning 400

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

SEPTEMBER 28, 2021

This article was published as a part of the Data Science Blogathon Introduction Because of its simplicity and ease of learning, Python has become very popular these days. It is used for various activities such as data science, machine learning, web development, scripting, automation, etc. Python is one of the most demanding skills for data scientists. […].

Data Scientist 399

Data Scientist Python Data Science Machine Learning 399

Analytics Vidhya

OCTOBER 1, 2021

This article was published as a part of the Data Science Blogathon Greetings! If they are working on a real-time application or a complicated activity, all programmers, regardless of the domain, will come across the phrase function block in coding. So, what this function block will do is make our work easier and more elegant by […]. The post Lambda Function – A better understanding appeared first on Analytics Vidhya.

Data Science 372

Data Science Python 372

Analytics Vidhya

SEPTEMBER 27, 2021

This article was published as a part of the Data Science Blogathon Introduction Performing repetitive tasks is very boring and hectic. But what if you can automate those stuff and let a script do that boring task. It is amazing, isn’t it? So, in this article, we are going to learn how to automate Windows applications. […]. The post Automate Windows Applications using Python appeared first on Analytics Vidhya.

Automation 358

Automation Python Data Science 358

Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Overview Deep learning is a subset of Machine Learning dealing with different neural networks with three or more layers. There are different deep neural networks that work best on many different real-world applications and research and development are still going on. The comprehensive guide […].

Neural Network 357

Neural Network Deep Learning Machine Learning Data Science 357

Analytics Vidhya

SEPTEMBER 27, 2021

This article was published as a part of the Data Science Blogathon Overview Tableau is a well-known data visualization tool widely used in the industry and adopted by major firms like Nike, Coca-Cola, Skype, TCS, Accenture, and various other plethoras of companies both large and small. Tableau provides support across platforms such as Azure, Microsoft, Amazon, […].

Data Science 357

Data Science 357

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Generative AI

Analytics Vidhya

SEPTEMBER 28, 2021

This article was published as a part of the Data Science Blogathon Introduction The main goal of machine learning is to train models and predict outcomes that can be used by applications. In Azure Machine Learning, we use scripts to train models using machine learning frameworks like Scikit-Learn, Tensorflow, PyTorch, SparkML, and others. In this guide, […].

Machine Learning 353

Machine Learning Data Science Python 353

Analytics Vidhya

SEPTEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction We all heard the term graph, but what is it? Can we develop a neural network out of it, or is it just for representation? We can do all of these. A Graph is nothing but a data structure and contains two elements […]. The post Graph Neural Network: An Introduction appeared first on Analytics Vidhya.

Neural Network 348

Neural Network Data Science Deep Learning Python 348

Analytics Vidhya

SEPTEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Overview Databricks in simple terms is a data warehousing, machine learning web-based platform developed by the creators of Spark. But Databricks is much more than that. It’s a one-stop product for all data needs, from data storage, analysis data and derives insights using SparkSQL, […].

Machine Learning 343

Machine Learning Data Science Python 343

Analytics Vidhya

SEPTEMBER 26, 2021

This article was published as a part of the Data Science Blogathon Dummy data is needed for a variety of purposes. Finding the required data in a specific format can be difficult. This article explores the different ways of creating the dummy data using the Faker package in Python. Topics covered in this article are as […]. The post How To Create Dummy Data In Python Using Faker Package appeared first on Analytics Vidhya.

Python 329

Python Data Science 329

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 1, 2021

This article was published as a part of the Data Science Blogathon Overview of Apache Calcite Making your own SQL database or running SQL queries against a NoSQL database seems to be a very daunting task. And if we are talking about a distributed database, then the complexity increases many times over. Fortunately, Apache Calcite, an […]. The post How to screw SQL to anything with Apache Calcite appeared first on Analytics Vidhya.

Data Science 323

Data Science 323

Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, we will build a random forest classifier(RFClassifier) model to detect breast cancer using this dataset from Kaggle. We will then apply some of the popular hyperparameter tuning techniques to this basic model in order to arrive at the optimal […]. The post A Hands-On Discussion on Hyperparameter Optimization Techniques appeared first on Analytics Vidhya.

Data Science 317

Data Science Python Machine Learning 317

Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon In this blog, we’ll go over everything you need to know about Logistic Regression to get started and build a model in Python. If you’re new to machine learning and have never built a model before, don’t worry; after reading this, I’m confident you’ll […].

Machine Learning 315

Machine Learning Python Data Science 315

Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction “Machine Learning can change the future”, this line you might have heard thousands of times if you belong to the technology, indeed it can, we all know the answer, but how will it? You might have heard or seen Autonomous Vehicles, Smart Chips […]. The post Numpy Refresher for Beginners (with Anaconda Setup) appeared first on Analytics Vidhya.

Data Science 310

Data Science Machine Learning Python 310

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Analytics Vidhya

SEPTEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction Apache Spark is a big data processing framework that has long become one of the most popular and frequently encountered in all kinds of projects related to Big Data. It successfully combines the speed of work and the simplicity of the developer expressing […]. The post Apache Spark Performance Optimization for Data Engineers appeared first on Analytics Vidhya.

Big Data 304

Big Data Data Science Python 304

Analytics Vidhya

SEPTEMBER 28, 2021

This article was published as a part of the Data Science Blogathon In this tutorial, we will learn: Introduction to Natural Language Processing Phases of Natural Language Processing Introduction to spaCy Installation and local setup of spaCy Statistical models available in spaCy Reading and processing text Spans Tokenization Sentence Detection Stopwords removal Word Frequency graph Parts […].

Natural Language Processing 302

Natural Language Processing Data Science NLP Python 302

Analytics Vidhya

OCTOBER 1, 2021

This article was published as a part of the Data Science Blogathon Introduction to Machine Learning Before jumping to Supervised Machine Learning, let’s understand a bit about Machine Learning. Machine Learning is an enticing field of study that leverages mathematics to solve complex real-world problems. The traditional algorithms need us to give a set of […].

ML 294

ML Machine Learning Data Science Algorithm 294

Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction The first thing to do when developing a model based on natural language processing is to learn how to parse the texts of user queries and find the entities of the working model in them. The entities like geo, date, money, etc. can […]. The post Search by Synonyms In Any Text Using NLP!

NLP 288

NLP Natural Language Processing Data Science Python 288

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.

DeepMind

SEPTEMBER 28, 2021

Our lives are dependent on the weather. At any moment in the UK, according to one study, one third of the country has talked about the weather in the past hour, reflecting the importance of weather in daily life. Amongst weather phenomena, rain is especially important because of its influence on our everyday decisions. Should I take an umbrella? How should we route vehicles experiencing heavy rain?

AI 57

AI AI 57