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 400

Data Science ML Deep Learning NLP 400

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: 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

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 400

NLP Natural Language Processing Data Science Neural Network 400

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 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 396

Data Science ML 396

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 394

Data Science Python 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 383

Data Platform Data Science 383

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Generative AI

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 373

Data Scientist Data Science 373

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 366

Machine Learning Explainability Data Science Algorithm 366

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 360

Machine Learning Python Data Science 360

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 353

NLP 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

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 351

Machine Learning Data Analysis 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 348

Python Data Science NLP 348

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 348

Python Data Science NLP 348

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 342

NLP Data Science Python Machine Learning 342

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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 343

Data Science 343

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 337

Machine Learning Algorithm Data Science 337

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 […].

Algorithm 337

Algorithm Data Science Deep Learning Python 337

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 337

Explainability Data Science ML Algorithm 337

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

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 331

Neural Network Software Development Data Science Deep Learning 331

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 330

Data Science Machine Learning 330

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 330

Python Explainability Data Science 330

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 331

Machine Learning Data Science Deep Learning 331

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Data Analysis

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 330

Data Science NLP Python Machine Learning 330

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 306

Explainability Data Science NLP Python 306

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 296

Machine Learning Data Science 296