Cloudera

NOVEMBER 17, 2020

The approach to machine learning using deep learning has brought marked improvements in the performance of many machine learning domains and it can apply just as well to fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection.

Deep Learning 115

Deep Learning Machine Learning Raw Data Data Ingestion 115

ProjectPro

JUNE 6, 2025

Want to take your deep learning skills to the next level? Our Keras for deep learning tutorial will show you how to build, train, and optimize deep learning models. And the same is true of deep learning. That's where Keras for deep learning comes in.

Deep Learning 40

Deep Learning Project Python Machine Learning 40

ProjectPro

JUNE 6, 2025

In such cases, it is easy to use the methods of Transfer Learning that allows users to leverage the knowledge of pre-trained models that have been trained on large datasets. One way researchers have solved this problem is by introducing the technique of Transfer Learning. Let's take the example of facial recognition.

Deep Learning 40

Deep Learning Project Food Datasets 40

Knowledge Hut

APRIL 26, 2024

Datasets are the repository of information that is required to solve a particular type of problem. Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

ProjectPro

JUNE 6, 2025

Practical application is undoubtedly the best way to learn Natural Language Processing and diversify your data science portfolio. Many Natural Language Processing (NLP) datasets available online can be the foundation for training your next NLP model. However, finding a good, reliable, and valuable NLP dataset can be challenging.

Datasets 40

Datasets Process Project Medical 40

ProjectPro

JUNE 6, 2025

This blog introduces the concept of time series forecasting models in the most detailed form. The blog's last two parts cover various use cases of these models and projects related to time series analysis and forecasting problems. This blog will explore these use cases with practical time series forecasting model examples.

Deep Learning 66

Deep Learning Machine Learning Python Datasets 66

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 75

Deep Learning Machine Learning Algorithm Data Science 75

ProjectPro

JUNE 6, 2025

This blog covers the top 15 GPUs for machine learning and also guides you through the relevant factors to consider to make an informed decision when selecting a GPU for your next machine learning project. This statistic is a clear indicator of the fact that the use of GPUs for machine learning has evolved in recent years.

Machine Learning 65

Machine Learning Project Deep Learning Algorithm 65

ProjectPro

JUNE 6, 2025

With AWS DevOps, data scientists and engineers can access a vast range of resources to help them build and deploy complex data processing pipelines, machine learning models, and more. This blog will explore 15 exciting AWS DevOps project ideas that can help you gain hands-on experience with these powerful tools and services.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

This is particularly true when working with complex deep-learning models that require large amounts of data to perform well. Bid goodbye to worries related to such problems with this blog, as it covers an appropriate and effective solution to the problem of limited data available for training machine learning and deep learning models.

Deep Learning 49

Deep Learning Machine Learning Datasets Data 49

ProjectPro

JUNE 6, 2025

Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better.

Business Intelligence 69

Business Intelligence Coding Project BI 69

ProjectPro

JUNE 6, 2025

This blog will take you through a relatively new career title in the data industry — AI Engineer. Additionally, the role involves the deployment of machine learning/deep learning problem solutions over the cloud using tools like Hadoop , Spark, etc.

Engineering 75

Engineering Software Engineering Deep Learning Software Engineer 75

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Today, we’re excited to open source this tool so that other Avro and Tensorflow users can use this dataset in their machine learning pipelines to get a large performance boost to their training workloads.

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Datasets Bytes Process Data Ingestion 102

ProjectPro

JUNE 6, 2025

By extracting features from the images through a deep learning model like MobileNetV, you can use the KNN algorithm to display the images from an open-source dataset similar to your image. It is possible to build such a system with deep learning models. Well, you can build your Similar Image Finder too.

Project 66

Project Deep Learning Datasets Algorithm 66

ProjectPro

JUNE 6, 2025

This blog offers an Agentic AI learning path, explaining the core components behind AI Agents. It covers tools, frameworks, agent creation, and advanced concepts like reinforcement learning, multi-agent systems, and ethical AI. It is designed to guide you through a step-by-step learning path to understand and create AI agents.

Deep Learning 80

Deep Learning Algorithm Banking Machine Learning 80

ProjectPro

JUNE 6, 2025

ii) Targetted marketing through Customer Segmentation With user data for enhancing personalized song recommendations, Spotify uses this massive dataset for targeted ad campaigns and personalized service recommendations for its users. Here is a Music Recommender System Project for you to start learning.

Data Science 67

Data Science Project Food Pharmaceutical 67

ProjectPro

JUNE 6, 2025

This blog contains OpenCV project ideas for beginners and intermediate professionals. Solution Approach: For arriving at the solution of this project, you can work with the ImageNet Dataset. ’s method of colouring images using a deep learning algorithm. Table of Contents What work on OpenCV Projects?

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Project Deep Learning Food Algorithm 72

ProjectPro

JUNE 6, 2025

Probability and Statistics are two intertwined topics that smoothen one’s path to becoming a Machine Learning pro. In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning.

Machine Learning 74

Machine Learning Insurance Algorithm Deep Learning 74

ProjectPro

JUNE 6, 2025

Data preparation for machine learning algorithms is usually the first step in any data science project. This blog covers all the steps to master data preparation with machine learning datasets. Imagine yourself as someone who is learning Jazz dance form. Usually, you will come across files of different types.

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Data Preparation Machine Learning IT Project 45

ProjectPro

JUNE 6, 2025

Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions. Load the dataset into a data frame and remove rows of data NaN values.

Finance 75

Finance Machine Learning Project Banking 75

ProjectPro

JUNE 6, 2025

In this blog, we will explore the inner workings of the LSTM model, some of its most exciting applications, its implementation in Keras , tuning its hyperparameters, and a few project ideas for you to explore further the model, long short-term memory in deep learning. Table of Contents What is LSTM(Long Short-Term Memory) Model?

Building 49

Building Deep Learning Datasets Algorithm 49

AltexSoft

AUGUST 25, 2021

But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. You can’t simply feed the system your whole dataset of emails and expect it to understand what you want from it. Preparing an NLP dataset.

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Process Deep Learning Machine Learning Datasets 139

Knowledge Hut

OCTOBER 30, 2023

In recent years, the field of deep learning has gained immense popularity and has become a crucial subset of artificial intelligence. Data Science aspirants should learn Deep Learning after taking a Data Science certificate online , which would enhance their skillset and create more opportunities for them.

Deep Learning 52

Deep Learning Project Machine Learning Datasets 52

ProjectPro

JUNE 6, 2025

Apart from that, libraries like ggplot, reshape2, data.table will complement your machine learning project. Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. for developing these kinds of projects.

Machine Learning 69

Machine Learning Project Media Algorithm 69

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. To try and predict this, an extensive dataset including anonymised details on the individual loanee and their historical credit history are included. Get the Dataset.

Machine Learning 137

Machine Learning Data Science Datasets Data Lake 137

ProjectPro

JUNE 6, 2025

This blog will explore the fundamentals of NLTK, its key features, and how to use it to perform various NLP tasks such as tokenization, stemming, and POS Tagging. Table of Contents What is NLTK in Machine Learning? As the name suggests, the NLTK WordNet Lemmatizer has learned its lemmatizing abilities from the WordNet dataset.

Building 66

Building Datasets Python Algorithm 66

ProjectPro

JUNE 6, 2025

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. FAQs on Data Mining Projects 15 Top Data Mining Projects Ideas Data Mining involves understanding the given dataset thoroughly and concluding insightful inferences from it.

Data Mining 52

Data Mining Coding Project Datasets 52

ProjectPro

JUNE 6, 2025

Explore the blog for Python Pandas projects that will help you take your Data Science career up a notch. Merge and Join Datasets Efficiently You must consistently merge and join multiple datasets to generate a final dataset to assess it while analyzing data accurately.

Python 40

Python Project Machine Learning Deep Learning 40

ProjectPro

JUNE 6, 2025

This blog will provide a comprehensive roadmap to becoming a generative AI engineer. Manage and integrate large datasets to train generative AI models. This involves using structured and unstructured data to enhance the models' learning capabilities. Proficiency ensures high-quality datasets and improved model performance.

Engineering 53

Engineering Entertainment Deep Learning Machine Learning 53

ProjectPro

JUNE 6, 2025

This blog presents a collection of top artificial intelligence interview questions and answers commonly asked in AI-related job interviews. TensorFlow & PyTorch: Deep learning frameworks. Deep Learning, Image Recognition, Speech Processing. Requires large datasets and high computational power.

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Deep Learning Machine Learning Algorithm Medical 71

Netflix Tech

MARCH 28, 2025

With over 300 million users at the end of 2024, this translates into hundreds of billions of interactionsan immense dataset comparable in scale to the token volume of large language models (LLMs). Data At Netflix, user engagement spans a wide spectrum, from casual browsing to committed movie watching.

Metadata 90

Metadata Bytes Entertainment Data Mining 90

ProjectPro

JUNE 6, 2025

It allows them to smoothly scale and deploy machine learning and deep learning applications. blog , we mentioned that “MLOps topped LinkedIn’s Emerging Jobs ranking, with a recorded growth of 9.8 Look for a time series dataset and download it. But, how does Docker help data scientists?

Data Science 58

Data Science Machine Learning Deep Learning Big Data 58

ProjectPro

JUNE 6, 2025

This groundbreaking technique augments existing datasets and ensures the protection of sensitive information, making it a vital tool in industries ranging from healthcare and finance to autonomous vehicles and beyond. This blog explores synthetic data generation, highlighting its importance for overcoming data scarcity.

Healthcare 40

Healthcare Medical Datasets Finance 40

ProjectPro

JUNE 6, 2025

This blog will guide you through How to Build an AI-powered Recommendation System. this blog, you’ll explore a step-by-step guide to building your own AI-powered recommendation system. Collaborative filtering is best suited for larger datasets with extensive interaction data, such as e-commerce or streaming platforms.

Systems 40

Systems Building Metadata Datasets 40

ProjectPro

JUNE 6, 2025

It gives an idea of which set of variables will best serve as the input to a machine learning/ deep learning model. Analyzing the Iris Dataset Iris Dataset is a popular dataset among beginners in Data Science. You can access this dataset using the sklearn library.

Data Analysis 40

Data Analysis Python Project Hospitality 40

ProjectPro

JUNE 6, 2025

This blog is your complete guide to building Generative AI applications in Python. Here's what you must consider: Data Sources- Identify relevant datasets—text datasets for language models (e.g., books, articles) and image datasets (e.g., Develop an AI agent to generate blog structures.

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Building Banking Deep Learning SQL 52

ProjectPro

JUNE 6, 2025

Here are the top five exclusive benefits: Rich Ecosystem: Python boasts a thriving ecosystem of machine learning libraries, including scikit-learn, TensorFlow, Keras, PyTorch, and more. This enables you to scale your machine learning models and processes for large datasets and complex tasks, achieving high performance and efficiency.

Machine Learning 40

Machine Learning Python Deep Learning Algorithm 40