Knowledge Hut

JANUARY 22, 2024

When you use PayPal, Google Pay, or your credit card to pay online, you, the consumer, the e-commerce company, as well as the bank are all using FinTech to complete the transaction. Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems.

Data Science 52

Data Science Banking Big Data Insurance 52

Knowledge Hut

JULY 4, 2023

Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection. It is a subfield of machine learning and artificial intelligence. It is a subfield of machine learning and artificial intelligence.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

NOVEMBER 18, 2023

From breakthroughs in machine learning to advancements in language processing, the list goes on and on. Users can interact with devices using natural language, issuing commands for tasks such as setting reminders, playing songs, or searching the internet. by the end of the year 2030. One of the most popular examples of this is GPT3.

Technology 52

Technology Medical Deep Learning Healthcare 52

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. This is because the coursework is updated frequently, and there are always new things to learn. Not only will you learn how to create a user interface, but you'll also gain experience with databases and newsfeed algorithms.

Computer Science 111

Computer Science Coding Project Hospitality 111

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

Uber Engineering

DECEMBER 10, 2019

Michelangelo , Uber’s machine learning (ML) platform, powers machine learning model training across various use cases at Uber, such as forecasting rider demand , fraud detection , food discovery and recommendation for Uber Eats , and improving the accuracy of … The post Productionizing Distributed XGBoost to Train Deep Tree Models with Large (..)

Food 108

Food Machine Learning Data Engineering 108

Knowledge Hut

MAY 2, 2024

Spark also has out of the box support for Machine learning and Graph processing using components called MLlib and GraphX respectively. Spark also has support for streaming data using Spark Streaming. Though the majority of use cases of Spark uses HDFS as the underlying data file storage layer, it is not mandatory to use HDFS.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

DECEMBER 27, 2023

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. Almost all types of businesses use data science as the key tool to propel their work into an inventive orbit. Top 22 Data Science Applications for 2023 Let us discuss the top 22 data science applications of 2023.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Knowledge Hut

NOVEMBER 2, 2023

Among various such implementations, two of the most prominent subsets that have garnered enough attention are Generative AI and Machine Learning. Both Generative AI and Machine Learning share the common goal of enabling machines to learn and make predictions. However, they differ in their fundamental approaches and applications.

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

Knowledge Hut

APRIL 24, 2024

Why Project-based Learning is Important? Project-based learning is a cornerstone of software engineering education, fostering key competencies and hands-on experience that surpass traditional theoretical learning. As a software engineer, developing an E-Learning platform is an excellent project idea for 2024.

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

AltexSoft

AUGUST 25, 2021

Keep reading to learn: What problems NLP can help solve. Specifics of data used in NLP. Tools you can use to build NLP models. Main NLP use cases. all come in a diversity of formats, which makes it hard to store and make use of. Spam detection. Language detection. What is Natural Language Processing?

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

APRIL 25, 2024

However, living in the digital generation is not particularly scary, especially if you know how to drive this car and starting this journey by learning cyber security terminology is the best way. These attacks can be of any type including click fraud, Bitcoin mining, sending spam e-mails, and Dos/DDoS attacks.

Electronics 52

Electronics Utilities Banking Programming 52

Knowledge Hut

NOVEMBER 18, 2023

Explore our comprehensive Artificial Intelligence Syllabus for a deep dive into AI Technologies. AI models are like smart detectives that analyze data; they search for patterns and predict in advance. The Sherlock Holmes of AI: Supervised Learning Models: In the world of AI, these models are just like detectives.

Medical 52

Medical Machine Learning Datasets Algorithm 52

Knowledge Hut

JANUARY 18, 2024

Data Science is an amalgamation of several disciplines, including computer science, statistics, and machine learning. Data Science has wide applications in banking , finance, health care, fraud detection, marketing , etc. Companies using Data Science are capable of even hiring data scientists who show promise for the future.

Data Science 98

Data Science Amazon Web Services Finance Big Data 98

Knowledge Hut

OCTOBER 27, 2023

This would help you lead teams, build predictive models, identify trends, and provide recommendations to management based on findings from the data analysed using advanced statistics, machine learning algorithms, mathematical models, and techniques. Let’s delve deep to understand it. What are Data Analytics Projects?

Data Analytics 52

Data Analytics Coding Project Medical 52

Knowledge Hut

OCTOBER 27, 2023

Why Project-based Learning is Important? Project-based learning is a cornerstone of software engineering education, fostering key competencies and hands-on experience that surpass traditional theoretical learning. As a software engineer, developing an E-Learning platform is an excellent project idea for 2023.

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

AltexSoft

SEPTEMBER 19, 2023

We will examine key data sources, real-world use cases, and how to approach analytics in travel. Learn more about the functions of internal systems with our dedicated articles about hotel property management systems and passenger service systems. Here, we will look at 4 key use cases of travel analytics.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Introduction to Machine Learning Interview Questions. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

Knowledge Hut

FEBRUARY 1, 2024

Every time someone uses the internet, more data is added. We need assistance from various Data Science methodologies to make sense of this enormous amount of data and use it for the company's objectives, etc. Machine learning algorithms produce these suggestions. All these questions can only be answered by data science.

Data Science 96

Data Science Retail Algorithm Manufacturing 96

ProjectPro

SEPTEMBER 6, 2021

The Machine Learning market is anticipated to be worth $30.6 Machine Learning plays a vital role in the design and development of such solutions. Machine learning is everywhere. There could be several machine learning applications that you could be using in your day-to-day life without even knowing about them.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

Cloudera

AUGUST 20, 2020

Machine Learning (ML) and Artificial Intelligence (AI), while still emerging technologies inside of enterprise organisations, have given some companies the ability to dynamically change their fortunes and reshape the way they are doing business — that is if they are brave enough to experiment and explore the unknown.

Banking 123

Banking Deep Learning Data Science Machine Learning 123

Knowledge Hut

NOVEMBER 27, 2023

The Data Science learning path is a collective set of curated courses that comprise a learning plan for achieving the required skills for the data scientist role. While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses. What is Data Science?

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Scott Logic

NOVEMBER 24, 2023

I recently embarked on a journey into the world of machine learning through following the fast.ai I have learnt a great deal about the inner workings of neural networks and how deep learning can produce seemingly magical results. Branching out One example of using decision trees together is the random forest model.

Datasets 52

Datasets Deep Learning Machine Learning Medical 52

Cloudera

OCTOBER 4, 2023

For example: In manufacturing, fast-moving data provides the only way to detect — or even predict and prevent — defects in real time before they propagate across an entire production cycle. We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets.

Telecommunication 90

Telecommunication Data Warehouse Java Manufacturing 90

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is Machine Learning. Instead, they are learned by training a model on data.

Machine Learning 98

Machine Learning Algorithm Data Science Government 98

U-Next

NOVEMBER 25, 2022

Introduction to Machine Learning and Big Data . Big Data and Machine Learning are one of the most crucial and irreplaceable technologies today. Machine Learning allows computers to learn from data automatically without being explicitly programmed. Overall, Big Data and Machine Learning are complementary fields.

Big Data 52

Big Data Machine Learning Deep Learning Algorithm 52

Knowledge Hut

MAY 2, 2024

Using this method, hackers can unravel information on open ports of the target system, services running, and remote access probabilities. To identify the relationship of each host and potential security mechanisms between the attacker and targets, they use traceroutes. Methods of footprinting 1. Let's take an example.

Database 52

Database Systems Accessible Accessibility 52

AltexSoft

OCTOBER 22, 2021

In 2021, the genealogy website MyHeritage presented its Deep Nostalgia app capable of making photos move, smile, and blink. Well, the technology behind such “magic” is called deep learning. Get ready because you’re about to go deep into deep learning. What is deep learning?

Deep Learning 52

Deep Learning Raw Data Algorithm Machine Learning 52

ProjectPro

JANUARY 28, 2022

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. One can train machine learning models to detect and report such anomalies retrospectively or in real-time.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

Knowledge Hut

JANUARY 11, 2024

Data scientists have been using data science techniques to solve challenging real-world issues in healthcare, agriculture, manufacturing, automotive, and many more. Almost every industry uses data science in some way. You can learn more about data science fundamentals in this data science course content.

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

MAY 3, 2024

There have been many articles written regarding overfitting and underfitting in machine learning, but virtually all of them are merely a list of tools. "Top Underfitting and overfitting in machine learning may be highly perplexing for folks attempting to figure out how it works. What is Overfitting in Machine Learning?

Machine Learning 52

Machine Learning Datasets Algorithm Data Science 52

Edureka

APRIL 19, 2024

They use complex algorithms to analyze patterns in language, allowing them to generate coherent and contextually relevant text. Examples of LLMs Benefits of Using Large Language Models Challenges and Limitations of LLMs What are LLMs? They are trained on large amounts of text data to learn patterns and entity relationships.

Datasets 40

Datasets Utilities Algorithm Architecture 40

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 106

Machine Learning Python Kafka Java 106

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Edureka

APRIL 24, 2024

trillion by 2032, it is essential to learn gen AI capabilities from creating an AI model to data augmentation. These models stand out for their unique ability to learn from vast datasets, a feature that equips them with the capacity to identify and replicate patterns, styles, structures, and forms inherently embedded within the data.

Entertainment 40

Entertainment Healthcare Pharmaceutical Datasets 40

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Start by learning the best language for data science, such as Python.

Programming Language 98

Programming Language Data Science Programming Scala 98

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. These machine learning projects for students will also help them understand the applications of machine learning across industries and give them an edge in getting hired at one of the top tech companies.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52