Analytics Vidhya

JANUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Modern applications are popularly made using container orchestration systems and microservice architecture. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […].

Data Science 383

Data Science 383

Shreyansh Singh

JANUARY 23, 2022

Quite a while back, I had written a post in which I described how to package your Machine Learning models using Docker and deploy them using Flask. This post, through a PoC, describes - How to package your model using Docker (similar as last post ) How to push the Docker container to Amazon ECR Add a Lambda Function for your model Make a REST API using Amazon API Gateway to access your model Automate the whole process using Github Actions, so that any updates to the model can take effect immedia

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Machine Learning Python Automation ML 64

DeepMind

JANUARY 24, 2022

We believe artificial intelligence (AI) is one of the most significant technologies of our age and we want to help people understand its potential and how it’s being created.

Artificial Intelligence 57

Artificial Intelligence Artificial Intelligence AI AI 57

OpenAI

JANUARY 27, 2022

We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models on our API.

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Responsible AI 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 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hello there, learners. I hope everyone is doing well. This pandemic provides us with more opportunities to learn new topics through the work-from-home concept, allowing us to devote more time to doing so. This prompted me to consider some mundane but intriguing topics. […].

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Machine Learning Algorithm Data Science Python 319

DeepMind

JANUARY 24, 2022

We believe artificial intelligence (AI) is one of the most significant technologies of our age and we want to help people understand its potential and how it’s being created.

Artificial Intelligence 57

Artificial Intelligence Artificial Intelligence AI AI 57

Kavita Ganesan

JANUARY 27, 2022

This is a guest post from Andrew Ferlitsch, author of Deep Learning Patterns and Practices. It provides an introduction to deep neural networks in Python. Andrew is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. This article examines the parts that make up neural networks and deep neural networks, as well as the fundamental different types of models (e.g. regression), their constituent parts (and how they contribute to m

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Neural Network Python Deep Learning Convolutional Neural Networks 52

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

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ML ML Engineer Data Scientist Machine Learning 315

Sebastian Ruder

JANUARY 24, 2022

Credit for the title image: Liu et al. (2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). In this post, I will cover the papers and research areas that I found most inspiring. I tried to cover the papers that I was aware of but likely missed many relevant ones. Feel free to highlight them as well as ones that you found inspiring in the comments.

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Business Intelligence

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc., All these are taken care of by the respective team members and […].

Data Science 295

Data Science Data Mining Data Scientist Machine Learning 295

Analytics Vidhya

JANUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Artificial Intelligence, deep learning, machine learning?—?whatever you’re doing if you don’t understand it?—?learn it. Because otherwise you’re going to be a dinosaur within 3 years. -Mark Cuban This statement from Mark Cuban might sound drastic – but its message is […].

Deep Learning 292

Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 292

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Today, most organizations invest more than ever in their resources to finely leverage graph analytics to extract valuable insights from massive, complex volumes of data. For those who don’t know, Neo4j is one of the most popular graph databases that gives developers and data […].

Data Science 283

Data Science Data Scientist 283

Analytics Vidhya

JANUARY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be going through two concepts MLOps and DevOps. We will first try to get through their basics and then we will explore the differences between them. As you might be aware in DevOps we try to bring together […]. The post MLOps vs DevOps: Let’s Understand the Differences?

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DevOps Data Science Machine Learning 267

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 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons, are the focus of this article. For example, Convolutional and Recurrent Neural Networks (which are used extensively in computer vision applications) are based on these networks.

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Neural Network Computer Vision Data Science Algorithm 273

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Facebook created a hive, however, it was eventually picked up by the Apache Software Foundation and developed as an open-source project under the name Apache Hive. It is used by a variety of businesses. Amazon uses it in Amazon Elastic MapReduce. Let’s have […].

Data Science 264

Data Science 264

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. [link] Index 1) Introduction 2) Installation 3) Writing code with Scala What is Scala? Scala is a high-level language that combines the paradigms of both functional and object-oriented programming, which makes it powerful. It is used by tech giants like Netflix, Twitter, and […].

Data Science 269

Data Science 269

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Overview of the article: Chatbot – Introduction Chatbot – Types Application of Chatbot Architecture of Chatbot How does Chatbot work Python implementation of Chatbot Introduction to Chatbot In this article, we’ll look at some exciting chatbot topics. What a chatbot is, is that when […].

Python 261

Python Chatbots Data Science 261

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 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Named Entity Recognition(NER) is a subtask of information extraction that locates and classifies different entities like name, organization, person, etc., in a sentence. Usually, it is done to classify named entities mentioned in unstructured text into predefined categories.

Data Science 258

Data Science NLP Python 258

Analytics Vidhya

JANUARY 27, 2022

Introduction Text is all we need. Everything we speak, write carries a huge amount of information. The topic name of the article, tone of the article everything adds a piece of information that we can interpret and extract the insights from them. Processing text and extracting the important information from the text is text processing. Doing data analysis by extracting […].

Data Analysis 255

Data Analysis NLP 255

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. To understand Convolutional Neural networks, we first need to know What is Deep Learning? Deep Learning is an emerging field of Machine learning; that is, it is a subset of Machine Learning where learning happens from past examples or experiences with the help of […]. The post CONVOLUTIONAL NEURAL NETWORK(CNN) appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Over the past several years, groundbreaking developments in machine learning and artificial intelligence have reshaped the world around us. There are various deep learning algorithms that bring Machine Learning to a new level, allowing robots to learn to discriminate tasks utilizing the human […].

Deep Learning 254

Deep Learning Robotics Machine Learning Artificial Intelligence 254

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Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents 1) Introduction 2) Types of Errors 3) Types of Hypothesis Tests 4) All about Parametric and Non-Parametric Tests 5) Parametric vs Non-Parametric Tests 6) Hypothesis Tests of the Mean and Median 7) Reasons to use Parametric Tests 8) Reasons to use […]. The post Learn all About Hypothesis Testing!

Data Science 250

Data Science 250

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Source: medium.com Hey Folks! Welcome to the NLP article series. so far we have covered the multiple text processing techniques in the first article. In the second part of the NLP article series, we saw different types of feature extraction techniques and word […]. The post Text Classification & Entity Recognition &amp in NLP appeared first on Analytics Vidhya.

NLP 244

NLP Data Science Python 244

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Whether you’ve been in the Data Science and Machine Learning arena for quite some time or have just stepped into this exciting avenue – you sure have stumbled upon Python’s popular Machine Learning model building library, you guessed it right – Scikit learns.

Machine Learning 247

Machine Learning Data Science Python NLP 247

Analytics Vidhya

JANUARY 25, 2022

This article was published as a part of the Data Science Blogathon. Source: Designed by Freepik Introduction We are living in a world where data is collected at every transaction, be it taking a cab ride, online shopping details of what was bought and how much was bought, there are reminders for getting our vehicles […]. The post Building Explainer Dashboards in Python appeared first on Analytics Vidhya.

Explainability 242

Explainability Python Data Science NLP 242

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 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will explain linear Regression, one of the machine learning algorithms. After reading this, we will get some basic knowledge about linear Regression, its uses, its types, and so on. Let us start with the table of contents. Table of […]. The post An Introductory Note on Linear Regression appeared first on Analytics Vidhya.

Machine Learning 239

Machine Learning Explainability Data Science Algorithm 239

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. The financial world has significantly started relying on Artificial Intelligence (AI) and Machine Learning (ML) algorithms to get accurate assistance in complex decision making. Likewise, the trading world is also moving forward to the appliance of algorithms to improve the occurrence and drive objectivity […].

Robotics 239

Robotics Algorithm Artificial Intelligence Artificial Intelligence 239

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon.Source – VSH Solutions Introduction Have you ever imagined how Amazon Prime, Netflix, and Google predict your taste in movies so easily? It is no rocket science, that after completing one movie/series you loved, and rated it on these platforms, a few more adds up […]. The post Movie Recommendation Engine with NLP appeared first on Analytics Vidhya.

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NLP Data Science Machine Learning 237