ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

U-Next

MARCH 1, 2023

You can find many Artificial Intelligence applications in this blog that you can use as project ideas for your academic assignments or personal growth. Applications Social Media Companies Healthcare Apps Self-Driving Vehicle Companies like Google and Tesla have been active in this industry for a while.

Project 96

Project Medical Banking Healthcare 96

RandomTrees

DECEMBER 12, 2023

It’s also a prerequisite for building novel algorithms for computer vision systems, but this is just a general talk. It has to function much faster than retinas, optic nerves, and visual cortex do because it uses cameras, data, and algorithms instead of retinas, optic nerves, and visual cortex. What is computer vision?

Datasets 52

Datasets Deep Learning Healthcare Algorithm 52

Cloudera

SEPTEMBER 15, 2021

The edge is a critical component of many digital transformation implementations, and particularly IoT deployments, for three main reasons — immediacy, fast-changing datasets and scalability. ML can stop a transaction if the algorithm detects anomalous behavior indicative of fraud.

Medical 119

Medical Retail Datasets Algorithm 119

Knowledge Hut

DECEMBER 22, 2023

This blog offers a comprehensive explanation of the data skills you must acquire, the top data science online courses , career paths in data science, and how to create a portfolio to become a data scientist. This could be finance, healthcare, marketing , or any other field. in Data Science, Computer Science, or a related field.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Knowledge Hut

MAY 9, 2024

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Edureka

SEPTEMBER 11, 2023

From healthcare and finance to art and entertainment, generative AI has been in the news recently. By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. Check out this video to learn more about generative AI.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms? What is Deep Learning?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Edureka

APRIL 24, 2024

Getting Trained on Data: To perform any task, first, the generative AI models need to be trained on massive datasets of existing content. This data can be retrieved from anything – books, blogs, pictures or images. Gen AI models can give biased results as they are trained on massive datasets.

Pharmaceutical 52

Pharmaceutical Manufacturing Datasets Algorithm 52

Edureka

APRIL 17, 2024

The algorithm is then designed as an easy-to-use generative AI tool to cater to our creative needs. They learn patterns and relationships from the dataset. These datasets are usually human-created content, so programmers can train generative tools to perform all the repetitive creative tasks. What Is Generative AI?

Healthcare 40

Healthcare Retail Media Entertainment 40

Knowledge Hut

MAY 23, 2024

In this blog post, we will help you to make that decision by highlighting the key differences between data science and Full stack development by comparing data scientist vs full stack developer. It is the combination of statistics, algorithms and technology to analyze data. Do you become a data scientist or Full stack developer?

Computer Science 98

Computer Science Java Data Science Certification 98

Databand.ai

AUGUST 30, 2023

Data validation involves checking data for errors, inconsistencies, and inaccuracies, often using predefined rules or algorithms. In industries such as healthcare, finance, and manufacturing, the importance of data accuracy and data integrity is even more pronounced. There are various ways to ensure data accuracy.

Data Integration 52

Data Integration Data Cleanse Data Validation Data Governance 52

Knowledge Hut

NOVEMBER 20, 2023

In this blog, I'll go into the interesting world of AI fraud detection, looking at how it works, its applications, benefits, and drawbacks. In essence, it's the use of AI anomaly detection algorithms, often covered in an Artificial Intelligence course for beginners , to analyze and identify suspicious activities or transactions.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

Knowledge Hut

JULY 26, 2023

This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes. Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

RandomTrees

DECEMBER 20, 2023

As a result, healthcare professionals use edge devices that implement AI. Instead of manually updating the models, the updates get uploaded to the cloud, which reduces privacy concerns. Once trained, the model begins to answer real-world questions through an “inference engine.”

IT 52

IT Hospitality Healthcare Deep Learning 52

Knowledge Hut

OCTOBER 30, 2023

Regardless of whether you are a seasoned machine learning expert or just starting, this blog will offer you valuable insights and inspiration for your next project. Continue to read this blog, where you can find a variety of deep learning projects with accompanying source code to get you started! What are Deep Learning Projects?

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

Knowledge Hut

NOVEMBER 27, 2023

Additionally, proficiency in probability, statistics, programming languages such as Python and SQL, and machine learning algorithms are crucial for data science success. A person with a die-hard passion to work on large datasets and to draw meaningful insights can definitely begin their journey in becoming a great data scientist.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

RandomTrees

JANUARY 29, 2024

Machine learning models rely heavily on large and diverse datasets to train and improve their ability to understand and interpret visual information. Achieving this level of sophistication demands an extensive dataset that mirrors real-world scenarios.

Medical 52

Medical Retail Entertainment Datasets 52

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns. It has no manual coding; it is all about smart algorithms doing the heavy lifting.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Edureka

JANUARY 18, 2024

Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms. They manage intricate datasets, create forecasting models, and examine consumer behavior to deliver tailored experiences. What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. Data Modeling using multiple algorithms. What is Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

DECEMBER 10, 2021

Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Business Intelligence in Healthcare: It has become common to use patients’ data to better diagnose diseases. Chilly December is here! to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

MARCH 18, 2024

In this blog post, I will compare the roles of data analysts and project managers. It utilizes statistical analysis, machine learning algorithms, and data visualization techniques to uncover patterns, trends, and correlations within datasets. Big data platforms: Hadoop and Spark for processing and analyzing large datasets.

Data Analytics 52

Data Analytics Project Management Programming Language 52

Edureka

AUGUST 2, 2023

Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis? Data Mining Analyst: To find patterns, correlations, and linkages within huge datasets, data mining analysts employ cutting-edge algorithms and methodologies.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

FEBRUARY 28, 2024

In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. It involves extracting valuable insights from these massive datasets to gain a competitive advantage. And AI-powered algorithms are the best at this. What is Big Data?

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. Let the FOMO kick in!

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

MARCH 26, 2024

In this blog post, I have shared 30 carefully curated prompts catering to various industries. From healthcare to technology, marketing to finance, these prompts cover a wide range of topics, allowing readers to find inspiration for their specific industry or area of expertise. accessibility guidelines.

Media 52

Media Finance Medical Healthcare 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Hadoop is widely used because it can store and analyze large datasets in a decentralized manner.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

OCTOBER 30, 2023

Medical insurance fraud detection Medical Insurance Fraud Detection is a special data science approach for predicting fraud in the medical insurance market that makes use of real-time analysis and classification algorithms. Your user behavior modeling system will be built using big data algorithms.

Big Data 52

Big Data Coding Project Medical 52

Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D AI requires good data and strong training algorithms, such as through machine learning, to make decisions about what data to send back to decision-makers. sat-1 artificial intelligence chip filters them out so that only usable data is returned,” ESA said in a blog post.

Big Data 101

Big Data Machine Learning Medical Insurance 101

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. From website hosting to running complicated machine learning algorithms, AWS provides a lot of applications that allow businesses to innovate, scale, and digitally transform. What is AWS? You can enroll in an Am azon AWS course to learn more about AWS.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

AltexSoft

FEBRUARY 21, 2022

Addresses, healthcare or financial details, and other personal characteristics make data subject to legal restrictions. Source: Google AI blog. You pick an algorithm like the decision tree ( or a set of algorithms like the aforementioned neural networks) to train it on the collected data. Federated learning frameworks.

Machine Learning 52

Machine Learning Healthcare Algorithm Medical 52

ProjectPro

JANUARY 31, 2023

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. Ultimately, the most important countermeasure against overfitting is adding more and better quality data to the training dataset.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

AUGUST 16, 2021

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 40

Data Mining Coding Project Datasets 40

Knowledge Hut

JULY 26, 2023

In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. They are used in a wide range of businesses and areas, including banking, healthcare, e-commerce, and manufacturing. What are Database Applications? Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

AUGUST 13, 2021

COVID-19 Dataset Analysis and Prediction 5. This application of machine learning algorithms has changed the game for many businesses. You can use the Walmart dataset and use Python to predict sales of their stores. You will use a dataset tagged with a category for the questions that the business is likely to receive.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40