Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. In this article, we are going to analyze the Zero-crossing rates (ZCRs) of different music genre tracks. This post is inspired by Valerio Valerdo’s work. I highly encourage you to check out his Youtube channel for his outstanding work in the field of ML/DL […]. The post Analysis of Zero Crossing Rates of Different Music Genre Tracks appeared first on Analytics Vidhya.

Data Science 398

Data Science ML Deep Learning NLP 398

Eugene Yan

JANUARY 18, 2022

Beyond getting that starting role, how does one continue growing in the field?

Machine Learning 100

Machine Learning 100

DeepMind

JANUARY 17, 2022

In our recent paper we explore how multi-agent deep reinforcement learning can serve as a model of complex social interactions, like the formation of social norms. This new class of models could provide a path to create richer, more detailed simulations of the world.

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Applied Data Science

JANUARY 17, 2022

Photo by Stephen Phillips — Hostreviews.co.uk on Unsplash ? Full Stack Data Scientist: Part 7— How to set up a Slack Bot for instant, automatic notifications Dashboards are the most popular way of presenting data in businesses —  but they’re not the only way ! There are times when users need to be immediately notified when something happens. For example… ?

Data Science 52

Data Science Data Scientist AI AI 52

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Analytics Vidhya

JANUARY 15, 2022

This article was published as a part of the Data Science Blogathon. Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario. In trying to achieve […]. The post Overview of MLOps With Open Source Tools appeared first on Analytics Vidhya.

Data Science 394

Data Science ML 394

DeepMind

JANUARY 17, 2022

In our recent paper we explore how multi-agent deep reinforcement learning can serve as a model of complex social interactions, like the formation of social norms. This new class of models could provide a path to create richer, more detailed simulations of the world.

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Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” Then I began to write a brief response. Still, it quickly snowballed into a detailed explanation […].

NLP 394

NLP Natural Language Processing Data Science Neural Network 394

Analytics Vidhya

JANUARY 17, 2022

Overview In this article, I will walk you through the layers of the Data Platform Architecture. First of all, let’s understand what is a Layer, a layer represents a serviceable part that performs a precise job or set of tasks in the data platform. The different layers of the data platform architecture that we are […]. The post Layers of the Data Platform Architecture appeared first on Analytics Vidhya.

Data Platform 381

Data Platform Data Science 381

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction According to the Bureau of Labor Statistics, the job outlook for computer and information research scientists, data scientists is projected to grow by at least 19 per cent by 2026. Data is collected and processed in every company regardless of the domain. Data […].

Data Scientist 372

Data Scientist Data Science 372

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Business Intelligence

Analytics Vidhya

JANUARY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hello all, happy new year, have a safe and knowledgeable year ahead. So, in today’s article, we will see about a new algorithm called Histogram Boosting Gradient Classifier (HBG). Maybe very few of them came across this particular algorithm. So, what is a […].

Data Science 349

Data Science Algorithm Deep Learning Python 349

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Image-1 Introduction Today, In this guide, we will dive in to learn about Kubernetes and use it to deploy and manage containers at scale. Container and microservice architecture had used more to create modern apps. Kubernetes is open-source software that allows you to deploy […].

Data Science 351

Data Science 351

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction We will learn in-depth about the min-heap in Python in this tutorial. This is where we will know. What exactly is a heap? What does Python’s min-heap mean? A heap’s time complexity and applications. Finally, we’ll examine the distinction between a min and […].

Python 353

Python Data Science NLP 353

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Sentiment Analysis is an NLP application that identifies a text corpus’s emotional or sentimental tone or opinion. Usually, emotions or attitudes towards a topic can be positive, negative, or neutral. This makes sentiment analysis a text classification task. Examples of positive, negative, and […].

NLP 355

NLP Data Science 355

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. Hey Guys, Hope you all are doing well. In this article, we will be learning how you can develop and deploy an image classifier using flask. Like my other articles, this article will give you hands-on experience with code and at the end of […]. The post Develop and Deploy Image Classifier using Flask: Part 1 appeared first on Analytics Vidhya.

Data Science 362

Data Science Python 362

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction As a part of writing a blog on the ML or DS topic, I selected a problem statement from Kaggle which is Microsoft malware detection. Here this blog explains how to solve the problem from scratch. In this blog I will explain to […]. The post Microsoft Malware Detection appeared first on Analytics Vidhya.

Explainability 347

Explainability Data Science ML Algorithm 347

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction We all know how popular the Python programming language is amongst Machine learning enthusiasts. So, once a machine learning model is ready, the next step is to deploy it to be used efficiently. But for deployment, there are various frameworks in Python that […]. The post Which is Better for Machine Learning: Flask vs Django?

Machine Learning 353

Machine Learning Python Data Science 353

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Boosting is a key topic in machine learning. Numerous analysts are perplexed by the meaning of this phrase. As a result, in this article, we are going to define and explain Machine Learning boosting. With the help of “boosting,” machine learning models are […].

Machine Learning 352

Machine Learning Explainability Data Science Algorithm 352

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Dear readers, In this blog, we will be discussing how to perform image classification using four popular machine learning algorithms namely, Random Forest Classifier, KNN, Decision Tree Classifier, and Naive Bayes classifier. We will directly jump into implementation step-by-step. At the end of the […].

Machine Learning 343

Machine Learning Algorithm Data Science 343

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Hello, I hope you are fine. I want to welcome you to a beautiful article on creating a REST API using Flask. In one of our previous articles, we have learned the basics of Flask and how to set it. We have made one […]. The post Complete Guide on Rest API with Python and Flask appeared first on Analytics Vidhya.

Python 347

Python Data Science NLP 347

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine learning is one of the most advancing technologies in Computer Science in the present era. A lot of Researchers, Academicians, and Industrialists are investing their efforts to innovate in this field. If you find the process of training machines to learn to […].

Machine Learning 340

Machine Learning Data Science Deep Learning 340

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction If you’re a software developer who’s interested in learning how neural networks function, you’ve come to the perfect spot. We will assist novices to understand what neural networks are, what a neural network model is, and how to expand their knowledge to other […].

Neural Network 339

Neural Network Software Development Data Science Deep Learning 339

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Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Table of contents Introduction Multilevel Models Advantages of Multilevel models When do we use Multilevel Models Types of Multilevel Model Random intercept model Random coefficient model Hypothesis testing: Likelihood Ratio Testing End-Note Introduction Suppose, you have a dataset of faculty salaries of a university […].

Data Science 338

Data Science Machine Learning 338

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction In my previous article, I discussed three python projects with codes and explained them in detail. Also gave you some examples which you can try. All these projects were beginner-friendly. This time, we will look at some more python projects with codes again. […].

Python 337

Python Explainability Data Science 337

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Hey Folks! Welcome to the NLP from zero to advanced series on analytics Vidhya where we are covering all the NLP topics from beginner to the advanced level. In the last article, we have seen various text processing techniques with examples. If you haven’t […]. The post NLP Tutorials Part II: Feature Extraction appeared first on Analytics Vidhya.

NLP 340

NLP Data Science Python Machine Learning 340

Analytics Vidhya

JANUARY 18, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be analyzing the flight fare prediction using Machine Learning dataset using essential exploratory data analysis techniques then will draw some predictions about the price of the flight based on some features such as what type of airline it […].

Machine Learning 337

Machine Learning Data Analysis Data Science 337

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Linear regression maps a vector x to a scalar y. If we can squash the Linear regression output in the range 0 to 1, it can be interpreted as a probability. We can have a classifier that gives the class label’s probability for […]. The post Logistic Regression: An Introductory Note appeared first on Analytics Vidhya.

Data Science 329

Data Science NLP Python Machine Learning 329

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, I am going to explain, how can we use log parsing with Spark and Scala to get meaningful data from unstructured data. In my experience, after parsing a lot of logs from different sources, I have found no data is […]. The post Log Parsing using Regular Expressions and Scala in Spark appeared first on Analytics Vidhya.

Explainability 315

Explainability Data Science NLP Python 315

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction Regression problems are prevalent in machine learning, and regression analysis is the most often used technique for solving them. It is based on data modelling and entails determining the best fit line that passes through all data points with the shortest distance possible […].

Machine Learning 305

Machine Learning Data Science 305