Knowledge Hut

FEBRUARY 1, 2024

Machine learning (ML) offers just that - an advanced technology to help users find the exact films they want. Movie Recommendation System Architecture The movie recommendation system architecture is a complex process that utilizes various algorithms to suggest movies to users based on their preferences.

Systems 98

Systems Entertainment Datasets Algorithm 98

ProjectPro

JANUARY 24, 2023

Project Idea: NLP Project to Build a Resume Parser in Python using Spacy Gensim Gensim is the Python library used for vectorizing textual data before passing the data at the input of a machine learning model. It is one of the leading libraries for working with textual data. in a few lines of code.

Python 52

Python Project Programming Language Data Mining 52

ProjectPro

FEBRUARY 16, 2023

On the other hand, business intelligence is a technology utilized to make better decisions in business solutions. Predictive and prescriptive analytics, machine learning, and deep learning. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

U-Next

SEPTEMBER 23, 2022

Data aggregation and data mining are two essential techniques used in descriptive analytics to analyze historical data and find patterns and trends. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Descriptive Analytics. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Knowledge Hut

DECEMBER 6, 2023

Post-graduation in Machine Learning Data Science or Business Analytics: These are the hot sellers or takers in the data scientist field. You can opt for post-graduation programs and get qualified for trending fields like artificial intelligence, machine learning , and deep learning.

Engineering 52

Engineering Computer Science Programming Language Education 52

ProjectPro

JULY 21, 2021

As we already revealed in our Machine Learning NLP Interview Questions with Answers in 2021 blog, a quick search on LinkedIn shows about 20,000+ results for NLP-related jobs. Good knowledge of commonly used machine learning and deep learning algorithms. Design NLP-based applications to solve customer needs.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

JUNE 18, 2021

Why do data scientists love Python for Data Science? This is the major reason Python has shown itself to be a prevalent choice for Data Science. There are always new data science and machine learning libraries rolled out to meet different data science requirements. renamed to Java.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

DECEMBER 17, 2021

One way to help the investors is to give them a fair idea of the risks involved by predicting the returns using machine learning. You must try to use the advanced technology of machine learning and estimate the short-term returns for 14 popular cryptocurrencies.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

JUNE 9, 2021

For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences. One may use the processed data in other processes like data visualizations, business analytics, etc. is essential to becoming a Data Engineering professional.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

Project 40

Project Deep Learning Datasets Medical 40

U-Next

DECEMBER 2, 2022

How do machine learning and artificial intelligence technologies help businesses ? Using AI, prospective borrowers’ data can be analyzed to simplify most processes. . Managing customer data : In order to succeed in business, data management must be efficient. What Is the Goal of Artificial Intelligence?:

Management 40

Management Recruitment Finance Data Mining 40

U-Next

AUGUST 16, 2022

Introduction: About Deep Learning Python. Initiatives based on Machine Learning (ML) and Artificial Intelligence (AI) are what the future has in store. What Is Deep Learning Python? Why Does Python Excel As A Machine Learning Programming Language?

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

Knowledge Hut

MAY 30, 2024

Big Data Analytics in the Industrial Internet of Things 4. Machine Learning Algorithms 5. Data Mining 12. But what is machine learning exactly, and what are some of its practical uses and future research directions? Evolutionary Algorithms and their Applications 9. Artificial Intelligence (AI) 11.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

AltexSoft

JULY 27, 2021

And what does machine learning have to do with it? In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Model-based. Hybrid filtering.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

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 Data Science Machine Learning 98

U-Next

AUGUST 25, 2022

Artificial Intelligence is indeed the science of Machine Learning. Making people aware of current Machine Learning models and developments and enabling them to comprehend original data is the main goal of Machine Learning cheat sheets. How Does Machine Learning Work? Supervised Learning.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

Knowledge Hut

MAY 23, 2024

BigML: BigML is an online, cloud-based, event-driven tool that helps in data science and machine learning operations. For professionals and companies, BigML is a tool that can help blend data science and machine learning projects for various business operations and processes.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

ProjectPro

APRIL 20, 2017

Problem Statement In this Hadoop project, you can utilize the Yelp Dataset and implement data engineering techniques in Hadoop to learn storage, processing, and fetching datasets. Apply what you have learned, explore a variety of hands-on example projects for data engineers. What is Data Engineering?

Hadoop 40

Hadoop Big Data Coding Project 40

Knowledge Hut

SEPTEMBER 6, 2023

As we all know Data Science is the most demanding job in the IT industry, today tons of data is created by just a single click, hence it is extremely important that this data is properly tailored and utilized to make viable business decisions. You will learn about Python, SQL, statistical modeling and data analysis.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

JANUARY 18, 2024

This can sometimes cause confusion regarding their applications in real-world problems and for learning purposes. The key connection between Data Science and AI is data. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Pinterest Engineering

MARCH 5, 2024

Yulin Lei | Senior Machine Learning Engineer; Kaili Zhang | Staff Machine Learning Engineer; Sharare Zahtabian | Machine Learning Engineer II; Randy Carlson | Machine Learning Engineer I; Qifei Shen | Senior Staff Machine Learning Engineer Introduction Pinterest strives to deliver high-quality ads and maintain a positive user experience.

Machine Learning 64

Machine Learning Deep Learning Architecture Data Mining 64

Knowledge Hut

JULY 31, 2023

It aims to explore how AI is utilized to provide personalized product recommendations, virtual assistants, dynamic pricing, chatbots, etc. Using the study, one can design and implement an autonomous transaction model that utilizes Blockchain's decentralized and immutable nature. Why Choose this Paper?

Electronics 52

Electronics Deep Learning Big Data Data Analytics 52

Edureka

FEBRUARY 27, 2023

The proliferation of big data and the rise of data analytics platforms have made it easier for businesses to collect and analyze large amounts of data. These technologies can be used to identify patterns and trends in data sets, making predictions about future events more accurate.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

FEBRUARY 7, 2023

In this blog, we go through what a Data Science Platform is, the different types of platforms, and how they can be used to bring value to the business so that the big corporates can stay in the race to conquer the market of the future. What is a Data Science Platform? Top Data Science Platforms 1. Machine learning suite.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

ProjectPro

AUGUST 5, 2021

While there is the complexity involved in building machine learning models from scratch, most AI jobs in the industry today don’t require you to know the math behind these models. You can use a pre-trained machine learning model called BERT to perform this classification.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

MARCH 17, 2014

Big data analytics drives innovations by helping organizations make best possible decisions through –high performance data mining, predictive analytics, text mining, social sentiment analysis, text mining, forecasting and optimization.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Analysis of structured data is typically performed using SQL queries and data mining techniques.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications.

Big Data 52

Big Data Coding Project Hadoop 52