Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is a branch of machine learning inspired by the brain’s ability to learn. Deep learning has revolutionized many areas of […].

Deep Learning 351

Deep Learning Machine Learning Data-driven Data Science 351

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. The post Non-Generalization and Generalization of Machine learning Models appeared first on Analytics Vidhya.

Machine Learning 371

Machine Learning Modeling Forecasting Data Science 371

Analytics Vidhya

DECEMBER 11, 2022

This article was published as a part of the Data Science Blogathon. 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.

Machine Learning 308

Machine Learning Deep Learning Data Science Publishing 308

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

MAY 21, 2021

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

Deep Learning 388

Deep Learning Modeling Data Science Publishing 388

Analytics Vidhya

DECEMBER 12, 2022

This article was published as a part of the Data Science Blogathon. 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.

Machine Learning 290

Machine Learning Deep Learning Data Science Publishing 290

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 323

Machine Learning Predictive Modeling Modeling Analytics 323

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.

Deep Learning 252

Deep Learning Modeling Data Science Optimization 252

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. Any deep learning model tries to […].

Deep Learning 303

Deep Learning Optimization Machine Learning Data Science 303

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 387

Machine Learning Modeling Data Science Publishing 387

Analytics Vidhya

AUGUST 29, 2022

This article was published as a part of the Data Science Blogathon. 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.

Machine Learning 305

Machine Learning Testing Data Science Publishing 305

Analytics Vidhya

JANUARY 10, 2024

Introduction Git is a powerful version control system that plays a crucial role in managing and tracking changes in code for data science projects. Whether you’re working on machine learning models, data analysis scripts, or collaborative projects, understanding and utilizing Git commands is essential.

Data Science 306

Data Science Machine Learning Modeling Management 306

Analytics Vidhya

FEBRUARY 18, 2022

This article was published as a part of the Data Science Blogathon. 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.

Deep Learning 236

Deep Learning Machine Learning Data Science Publishing 236

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. Rapidminer Studio is its visual workflow designer for the creation of predictive models.

Data Science 340

Data Science Data Lake Data mining Deep Learning 340

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 281

Machine Learning Strategy Modeling Analytics 281

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 386

Machine Learning Data Science Publishing Modeling 386

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 282

Modeling Deep Learning Machine Learning Data Science 282

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? For example – If a healthcare […].

Modeling 377

Modeling Machine Learning Data Science Publishing 377

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

Analytics Vidhya

APRIL 18, 2024

Introduction Linux, the operating system favored by data science professionals, offers flexibility, power, and open-source tools. As a data science beginner, mastering the Linux command line is a key step towards empowering yourself in data manipulation, analysis, and modeling.

Data Science 143

Data Science Modeling Analytics Deep Learning 143

CIO Business Intelligence

JANUARY 19, 2024

According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024. Check out our list of top big data and data analytics certifications.) The exam is designed for seasoned and high-achiever data science thought and practice leaders.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Cloudera

APRIL 19, 2021

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. Introduction.

Deep Learning 71

Deep Learning Machine Learning Data Science Modeling 71

Analytics Vidhya

DECEMBER 28, 2023

Introduction Temporal graphs are a powerful tool in data science that allows us to analyze and understand the dynamics of relationships and interactions over time. They capture the temporal dependencies between entities and offer a robust framework for modeling and analyzing time-varying relationships.

Data Science 252

Data Science Interactive Modeling Analytics 252

Analytics Vidhya

MAY 26, 2023

Imagine diving into the details of data analysis, predictive modeling, and ML. The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology. Envision yourself unraveling the insights and patterns for making informed decisions that shape the future.

Data Science 290

Data Science Predictive Modeling Modeling Technology 290

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Introduction Building a cool machine learning project is one thing, and another when you need other people to see it too. The post Model Deployment -Deploy a Keras Model as a Python Web Application appeared first on Analytics Vidhya.

Modeling 304

Modeling Machine Learning Data Science Publishing 304

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

JULY 12, 2022

This article was published as a part of the Data Science Blogathon. Due to the implementation of machine learning and deep learning models, it has become the language of demand […]. Introduction Python is a general-purpose and interpreted programming language.

Deep Learning 365

Deep Learning Machine Learning Data Science Publishing 365

O'Reilly on Data

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. The Two Cultures of Data Tooling. Data Science and Machine Learning Require Flexibility.

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

Analytics Vidhya

MAY 9, 2024

You might have heard about the world’s first humanoid robot, Sophia, who answered affirmatively to destroy humanity in […] The post Footprints of AI: Read This Before Working on Massive AI Models appeared first on Analytics Vidhya.

Modeling 305

Modeling Analytics IT Deep Learning 305

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

Analytics Vidhya

OCTOBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction Ensemble modeling is the process by which a machine learning model combines distinct base models to generate generalized predictions using a combination of the predictive power of each of its components.

Modeling 287

Modeling Machine Learning Data Science Publishing 287

Rocket-Powered Data Science

DECEMBER 16, 2018

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters. The above example (clustering) is taken from unsupervised machine learning (where there are no labels on the training data).

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Analytics Vidhya

MARCH 15, 2024

This new member of Anthropic’s family is not just another AI model; it’s a symbol of our relentless […] The post The Fastest AI Model by Anthropic – Claude 3 Haiku appeared first on Analytics Vidhya. Welcome to that world, brought to you by the latest sensation in AI—Claude 3 Haiku.

Modeling 368

Modeling Analytics IT Deep Learning 368

Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […].

Deep Learning 278

Deep Learning Machine Learning Visualization Data Science 278

Analytics Vidhya

MAY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Machine learning or Deep Learning, some of the models. The post How to transform features into Normal/Gaussian Distribution appeared first on Analytics Vidhya.

Deep Learning 293

Deep Learning Machine Learning Data Science Publishing 293

Analytics Vidhya

MAY 8, 2024

Last week, the AI community was taken by storm with the arrival of a new model known as ‘gpt2-chatbot’ Its sudden appearance and quick removal left many puzzled, but the intrigue deepened with the emergence of two new versions: ‘im-a-good-gpt2-chatbot’ and ‘im-also-a-good-gpt2-chatbot’ These variants appeared to (..)

Modeling 257

Modeling Analytics IT Deep Learning 257