Analytics Vidhya

MARCH 8, 2022

Image Source: Author Introduction Deep learning, a subset of machine learning, is undoubtedly gaining popularity due to big data. Startups and commercial organizations alike are competing to use their valuable data for business growth and customer satisfaction with the help of deep learning […].

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Deep Learning Visualization Modeling Machine Learning 294

Analytics Vidhya

JUNE 20, 2022

Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […].

Deep Learning 378

Deep Learning Machine Learning Data Science Publishing 378

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Natural language processing, deep learning, speech recognition, and pattern identification are just a few artificial intelligence technologies that have consistently advanced in recent years. rather than only […] The post Model Behind Google Translate: Seq2Seq in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 275

Machine Learning Modeling Deep Learning Technology 275

Analytics Vidhya

APRIL 19, 2024

Introduction Embark on a thrilling journey into the domain of Convolutional Neural Networks (CNNs) and Skorch, a revolutionary fusion of PyTorch’s deep learning prowess and the simplicity of scikit-learn. Join us […] The post Train PyTorch Models Scikit-learn Style with Skorch appeared first on Analytics Vidhya.

Modeling 282

Modeling Deep Learning Machine Learning Visualization 282

Analytics Vidhya

NOVEMBER 7, 2022

Introduction Deep learning is a branch of machine learning inspired by the brain’s ability to learn. It is a data-driven approach to learning that can automatically extract features from data and build models to make predictions. Deep learning has revolutionized many areas of […].

Deep Learning 358

Deep Learning Machine Learning Data-driven Data Science 358

Analytics Vidhya

JANUARY 29, 2024

Introduction In the world of deep learning, where data is often less, the role of data augmentation has become very important. We use methods like turning images or flipping them to make our model learn better. But our datasets are becoming more complicated. That’s where data augmentation steps in.

Deep Learning 301

Deep Learning Strategy Modeling Analytics 301

Analytics Vidhya

JANUARY 29, 2024

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch.

Machine Learning 328

Machine Learning Predictive Modeling Modeling Analytics 328

Analytics Vidhya

DECEMBER 11, 2022

Introduction In machine learning, the data’s amount and quality are necessary to model training and performance. The amount of data affects machine learning and deep learning algorithms a lot. The post Machine Learning with Limited Data appeared first on Analytics Vidhya.

Machine Learning 316

Machine Learning Deep Learning Data Science Publishing 316

Analytics Vidhya

OCTOBER 28, 2022

Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […].

Machine Learning 378

Machine Learning Modeling Forecasting Data Science 378

Analytics Vidhya

DECEMBER 12, 2022

Introduction In machine learning and deep learning, the amount of data fed to the algorithm is one of the most critical factors affecting the model’s performance. However, in every machine learning or deep learning problem, it is impossible to have enough data to […].

Machine Learning 297

Machine Learning Deep Learning Data Science Publishing 297

Analytics Vidhya

AUGUST 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to compare four different deep learning and. The post Email Spam Detection – A Comparative Analysis of 4 Machine Learning Models appeared first on Analytics Vidhya.

Machine Learning 393

Machine Learning Modeling Deep Learning Data Science 393

Analytics Vidhya

APRIL 14, 2023

Introduction Fashion has not received much attention in AI, including Machine Learning, Deep Learning, in different sectors like Healthcare, Education, and Agriculture. This is because fashion is not considered a critical field; consider this a fun project!

Deep Learning 292

Deep Learning Machine Learning Analytics IT 292

Analytics Vidhya

MARCH 22, 2020

Google Colab – Now Build Large Deep Learning Models on your Machine! Get Started with Google Colab for Machine Learning and Deep Learning appeared first on Analytics Vidhya. “Memory Error” – that all too familiar dreaded message in Jupyter notebooks.

Deep Learning 387

Deep Learning Machine Learning Modeling Analytics 387

Analytics Vidhya

MAY 15, 2022

This article was published as a part of the Data Science Blogathon Introduction- Hyperparameters in a neural network A deep neural network consists of multiple layers: an input layer, one or multiple hidden layers, and an output layer. In order to develop any deep learning model, one must decide on the most optimal values of […].

Deep Learning 257

Deep Learning Modeling Data Science Optimization 257

Analytics Vidhya

MAY 21, 2021

Introduction In this work, we present the relationship of model. The post Traditional vs Deep Learning Classification Models | An Empirical Study! ArticleVideo Book This article was published as a part of the Data Science Blogathon 1. appeared first on Analytics Vidhya.

Deep Learning 390

Deep Learning Modeling Data Science Publishing 390

Analytics Vidhya

JANUARY 17, 2024

Determination of the type of soil that has the clay, sand, and silt particles in the respective proportions is important for suitable crop selection […] The post Agriculture & Deep Learning: Improving Soil & Crop Yields appeared first on Analytics Vidhya.

Deep Learning 308

Deep Learning Analytics IT Machine Learning 308

Analytics Vidhya

OCTOBER 7, 2021

This article was published as a part of the Data Science Blogathon Overview Deep learning is the subfield of machine learning which is used to perform complex tasks such as speech recognition, text classification, etc. A deep learning model consists of activation function, input, output, hidden layers, loss function, etc.

Deep Learning 307

Deep Learning Optimization Machine Learning Data Science 307

Analytics Vidhya

MARCH 29, 2020

Can you fool your deep learning model? What does lying to your deep learning model even entail? The post Can you Lie to your Deep Learning Model? This question we’re sure most of you. appeared first on Analytics Vidhya.

Deep Learning 301

Deep Learning Modeling Analytics Machine Learning 301

Analytics Vidhya

SEPTEMBER 24, 2021

This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […].

Machine Learning 392

Machine Learning Modeling Data Science Publishing 392

Analytics Vidhya

FEBRUARY 25, 2023

ChatGPT is an artificial intelligence model that uses the deep model to produce human-like text. It predicts […] The post Learning the Basics of Deep learning, ChatGPT, and Bard AI appeared first on Analytics Vidhya.

Deep Learning 353

Deep Learning Modeling Analytics IT 353

Analytics Vidhya

APRIL 8, 2023

Combating Inflation Crisis in Precarious Regions: World Bank’s Revolutionary Machine-Learning Solution Living conditions have been severely affected by the global rise in inflation, particularly in crisis-hit regions, severely impacting households in precarious situations.

Machine Learning 266

Machine Learning Modeling Measurement Analytics 266

Analytics Vidhya

MARCH 13, 2023

Introduction Large Language Models (LLMs) are foundational machine learning models that use deep learning algorithms to process and understand natural language. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language.

Modeling 326

Modeling Deep Learning Machine Learning Analytics 326

Analytics Vidhya

AUGUST 29, 2022

Introduction When training a machine learning model, the model can be easily overfitted or under fitted. To avoid this, we use regularization in machine learning to properly fit the model to our test set. The post Regularization in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 311

Machine Learning Testing Data Science Publishing 311

Analytics Vidhya

FEBRUARY 13, 2020

Overview This article dives into the key question – is class sensitivity in a classification problem model-dependent? The authors analyze four popular deep learning. The post Is Class Sensitivity Model Dependent? Analyzing 4 Popular Deep Learning Architectures appeared first on Analytics Vidhya.

Deep Learning 340

Deep Learning Modeling Analytics Unstructured Data 340

Analytics Vidhya

JUNE 11, 2019

Overview TensorFlow.js (deeplearn.js) enables us to build machine learning and deep learning models right in our browser without needing any complex installation steps There. The post Build a Machine Learning Model in your Browser using TensorFlow.js

Machine Learning 306

Machine Learning Modeling Deep Learning Analytics 306

Analytics Vidhya

MAY 14, 2023

As data scientists and experienced technologists, professionals often seek clarification when tackling machine learning problems and striving to overcome data discrepancies. It is crucial for them to learn the correct strategy to identify or develop models for solving equations involving distinct variables.

Machine Learning 288

Machine Learning Strategy Modeling Analytics 288

Analytics Vidhya

FEBRUARY 24, 2023

Thanks […] The post Deep Learning in Banking: Colombian Peso Banknote Detection appeared first on Analytics Vidhya. This process could be time-consuming for everyday business professionals and individuals dealing with cash. This calls for a need to achieve this goal via automation.

Deep Learning 299

Deep Learning Enterprise Analytics Data mining 299

Analytics Vidhya

FEBRUARY 18, 2022

OpenCV is a massive open-source library for various fields like computer vision, machine learning, image processing and plays a critical function in real-time operations, which are fundamental in today’s systems. The post A Basic Introduction to OpenCV in Deep Learning appeared first on Analytics Vidhya.

Deep Learning 243

Deep Learning Machine Learning Data Science Publishing 243

Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). In the old days, transfer learning was a concept mostly used in deep learning. However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP).

Modeling 297

Modeling Deep Learning Analytics Machine Learning 297

Analytics Vidhya

JULY 3, 2023

Introduction ONNX, also known as Open Neural Network Exchange, has become widely recognized as a standardized format that facilitates the representation of deep learning models. One of the key advantages of […] The post ONNX Model | Open Neural Network Exchange appeared first on Analytics Vidhya.

Modeling 266

Modeling Deep Learning Analytics IT 266

Analytics Vidhya

OCTOBER 21, 2019

Overview The art of transfer learning could transform the way you build machine learning and deep learning models Learn how transfer learning works using. The post Deep Learning for Everyone: Master the Powerful Art of Transfer Learning using PyTorch appeared first on Analytics Vidhya.

Deep Learning 249

Deep Learning Machine Learning Modeling Analytics 249

Analytics Vidhya

NOVEMBER 12, 2021

This article was published as a part of the Data Science Blogathon This article starts by discussing the fundamentals of Natural Language Processing (NLP) and later demonstrates using Automated Machine Learning (AutoML) to build models to predict the sentiment of text data. You may be […].

Machine Learning 391

Machine Learning Data Science Publishing Modeling 391

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Modeling 288

Modeling Deep Learning Machine Learning Data Science 288

Analytics Vidhya

APRIL 15, 2024

Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too much from training data, leading to poor performance on new data. This phenomenon is especially prevalent in complex neural architectures, which can model intricate relationships.

Deep Learning 306

Deep Learning Modeling Analytics Machine Learning 306

Analytics Vidhya

NOVEMBER 29, 2021

In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? Model explainability refers to the concept of being able to understand the machine learning model.

Modeling 382

Modeling Machine Learning Data Science Publishing 382

O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Analytics Vidhya

DECEMBER 20, 2023

Introduction Data augmentation encompasses various techniques to expand and enhance datasets for machine learning and deep learning models. These methods span different categories, each altering data to introduce diversity and improve model robustness.

Deep Learning 282

Deep Learning Machine Learning Modeling Analytics 282