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 Algorithm Datasets 69

ProjectPro

JUNE 6, 2025

It involves various steps like data collection, data quality check, data exploration, data merging, etc. This blog covers all the steps to master data preparation with machine learning datasets. Imagine yourself as someone who is learning Jazz dance form.

Data Preparation 45

Data Preparation Machine Learning Project IT 45

RandomTrees

NOVEMBER 25, 2024

Generative AI employs ML and deep learning techniques in data analysis on larger datasets, resulting in produced content that has a creative touch but is also relevant. The considerable amount of unstructured data required Random Trees to create AI models that ensure privacy and data handling.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Knowledge Hut

JULY 28, 2023

On that note, let's understand the difference between Machine Learning and Deep Learning. Below is a thorough article on Machine Learning vs Deep Learning. We will see how the two technologies differ or overlap and will answer the question - What is the difference between machine learning and deep learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JUNE 6, 2025

FAQs How to Start an AI Project: The Prerequisites Implementing AI systems requires a solid understanding of its various subsets, such as Data Analysis , Machine Learning (ML) , Deep Learning (DL) , and Natural Language Processing (NLP). 1) Data High-quality data is the foundation of most AI projects.

Project 40

Project Deep Learning Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

Data Engineers, Data Scientists, Data Architects have become significant job titles in the market, and the opportunities keep soaring. Deep Learning and Neural Network Projects Deep learning is a subset of machine learning and one of the most hyped machine learning techniques today.

Machine Learning 52

Machine Learning Coding Project Deep Learning 52

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 Machine Learning 40

ProjectPro

MARCH 17, 2021

“Machine Learning” and “Deep Learning” – are two of the most often confused and conflated terms that are used interchangeably in the AI world. However, there is one undeniable fact that both machine learning and deep learning are undergoing skyrocketing growth. respectively.

Deep Learning 52

Deep Learning Machine Learning Algorithm Data Science 52

ProjectPro

JUNE 6, 2025

Given the engineering nature of the role, questions often revolve around engineering principles, machine learning, and deep learning. This entails identifying relevant information and determining the appropriate data schema for analysis and storage, specifying data types, relationships, and any constraints.

Data Engineering 40

Data Engineering Data Engineer Engineering Unstructured Data 40

ProjectPro

JUNE 6, 2025

TensorFlow & PyTorch: Deep learning frameworks. Uses patterns and probabilities (data-driven). Deep Learning, Image Recognition, Speech Processing. Excellent at handling noisy, unstructured data like images. Limitations Struggles with ambiguous or high-dimensional data.

Deep Learning 71

Deep Learning Machine Learning Algorithm Medical 71

ProjectPro

JUNE 6, 2025

Manage and integrate large datasets to train generative AI models. This involves using structured and unstructured data to enhance the models' learning capabilities. Machine Learning and Deep Learning Techniques Mastering ML and DL techniques, including supervised, unsupervised, and reinforcement learning, is vital.

Engineering 53

Engineering Entertainment Deep Learning Machine Learning 53

ProjectPro

JUNE 6, 2025

Weka's algorithms, known as classifiers, can be applied to data sets using a graphical user interface (GUI) or a command-line interface and can also be implemented using a Java API. Weka also integrates with R, Python, Spark, and other libraries like scikit-learn.

Data Science 40

Data Science Hadoop Unstructured Data Machine Learning 40

ProjectPro

JUNE 6, 2025

You will require proficient knowledge of traditional ETL technologies (Talend, Pentaho, Informatica), streaming data processing ( Spark Streaming , Kafka , AWS Firehose), storage solutions (S3, Glacier, Google Cloud Storage), and perhaps even some form of business intelligence/report tools (Tableau, Microstrategy, Qlikview, etc.).

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

is also an essential skill to pursue a machine learning career. Data Modeling Analyzing unstructured data models is one of the key responsibilities of a machine learning career, which brings us to the next required skill- data modeling and evaluation. You can use the SYL bank dataset for this project.

Machine Learning 49

Machine Learning Engineering Algorithm Programming Language 49

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio data file formats. Similar to texts and images, audio is unstructured data meaning that it’s not arranged in tables with connected rows and columns. Source: Towards Data Science.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., Unlike traditional AI systems that operate on pre-existing data, generative AI models learn the underlying patterns and relationships within their training data and use that knowledge to create novel outputs that did not previously exist.

Manufacturing 114

Manufacturing Deep Learning Media Algorithm 114

ProjectPro

JUNE 6, 2025

On keyword-based searches, the pinecone-sparse-english-v0 model outperforms the popular BM25 by up to 44%, according to the TREC Deep Learning Tracks. Compared to traditional methods that are efficient for structured data, HNSW is helpful in retrieving similar vectors (e.g., images, text, etc.).

Database 40

Database Project Metadata Unstructured Data 40

ProjectPro

JUNE 6, 2025

Project Idea: Start data engineering pipeline by sourcing publicly available or simulated Uber trip datasets, for example, the TLC Trip record dataset.Use Python and PySpark for data ingestion, cleaning, and transformation. This project will help analyze user data for actionable insights.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Big data analytics market is expected to be worth $103 billion by 2023. We know that 95% of companies cite managing unstructured data as a business problem. of companies plan to invest in big data and AI. million managers and data analysts with deep knowledge and experience in big data. While 97.2%

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

About 48% of companies now leverage AI to effectively manage and analyze large datasets, underscoring the technology's critical role in modern data utilization strategies. Here is a post by Lekhana Reddy , an AI Transformation Specialist, to support the relevance of AI in Data Analytics.

Data Analytics 40

Data Analytics Healthcare Algorithm Machine Learning 40

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

Project 96

Project Transportation Healthcare Deep Learning 96

AltexSoft

OCTOBER 18, 2022

Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Machine Learning Data Science 98

ProjectPro

JUNE 6, 2025

Tensorflow With over 217k users and 167k stars on Github, one of the most popular deep learning frameworks, TensorFlow , allows the development of deep learning algorithms and models by big data professionals, deep neural scientists, and others. Both stream and batch real-time processing are supported.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

AltexSoft

MAY 27, 2022

The tool processes both structured and unstructured data associated with patients to evaluate the likelihood of their leaving for a home within 24 hours. The main sources of such data are electronic health record ( EHR ) systems which capture tons of important details. Inpatient data anonymization. Factors impacting LOS.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

ProjectPro

JUNE 6, 2025

The fusion of data science and cloud computing has given rise to a new breed of professionals – AWS Data Scientists. With organizations relying on data to fuel their decisions, the need for adept professionals capable of extracting valuable insights from extensive datasets is rising.

AWS 40

AWS Amazon Web Services Cloud Computing Machine Learning 40

ProjectPro

JUNE 6, 2025

Mathematical Expertise- Strong understanding of statistics, linear algebra, and probability to make sense of structured/unstructured data, algorithms, and machine learning systems. Data Analytics- Knowing how to clean, analyze, and interpret data is crucial.

Machine Learning 40

Machine Learning Computer Science Consulting Software Engineering 40

ProjectPro

JUNE 6, 2025

FAQs How to learn Artificial Intelligence for Beginners? Start with the Basics of AI As technology advances, terms like "artificial intelligence," " machine learning ," " deep learning ," and "data science" have become increasingly prevalent in conversations about the digital realm.

Deep Learning 40

Deep Learning Algorithm Machine Learning Programming Language 40

ProjectPro

JULY 9, 2021

All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

ProjectPro

JUNE 6, 2025

FAQs List of Best Projects on Generative AI Generative AI, or Gen AI, is a revolutionary technology that enables computer systems to produce content, images, and even entire narratives autonomously with the help of advanced deep learning and machine learning algorithms.

Project 45

Project Medical Healthcare Deep Learning 45

ProjectPro

JUNE 6, 2025

For instance: Machine Learning Models are commonly used for predictive analytics and automating tasks. Deep Learning applications rely on advanced computational power for training neural networks. 2) Dataset Characteristics The dataset is the backbone of any AI system. Image Source: Content-Whale 2.

Systems 40

Systems Building IT Google Cloud 40

ProjectPro

JUNE 6, 2025

Business Analysts can successfully transition to Data Scientists with the right training, education, and experience. A degree in computer science, statistics, or data science can also help build the necessary foundation. Uses statistical and computational methods to analyze and interpret data. js, and ggplot2.

Business Analyst 40

Business Analyst Portfolio Data Mining Algorithm 40

Knowledge Hut

DECEMBER 26, 2023

If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JUNE 6, 2025

You can build an AI powered computer vision model to analyze aerial image data from drones or satellites to detect crop disease symptoms at scale for real-time monitoring and early intervention. Step 2 : Data Preprocessing Clean the FAO dataset: Handle missing data, normalize pesticide names, and categorize pesticides by crop types.

Project 40

Project Building Google Cloud AWS 40

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. In this article, we will look at some of the top Data Science job roles that are in demand in 2024.

Data Science 97

Data Science BI Business Intelligence Data Mining 97