Knowledge Hut

FEBRUARY 1, 2024

Content-based movie recommendation system algorithms use the similarities between movies to recommend new movies to users, while collaborative filtering utilizes other users' overlapping movie ratings to generate recommendations. How is Netflix using Machine Learning?

Systems 98

Systems Entertainment Datasets Algorithm 98

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

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

AUGUST 25, 2022

They are characterized as an authored syntax to carry out repetitive tasks such as mathematics calculations, visualizing data sources, having to read images, etc. As per recent reports, Machine Learning, Deep Learning, Data Analysis, and Natural Language Processing are used by 48% of businesses worldwide to effectively use large data sets.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 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

Good knowledge of commonly used machine learning and deep learning algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Past experience with utilizing NLP algorithms is considered an added advantage. Hands-on experience with cloud-based platforms such AWS, Azure.

Coding 52

Coding Project Deep Learning Algorithm 52

U-Next

AUGUST 25, 2022

Doing research in that field would be highly beneficial if you’re going for an MS in computer vision, deep learning, etc. Users must use the biometric to sign on to their respective accounts to utilize the fingerprint-based ATM system. iOS Development .

Project 40

Project Engineering Medical Healthcare 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? Python is also intriguing to many developers since it is simple to learn.

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

ProjectPro

JUNE 18, 2021

SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis. It contains a wide range of supervised and unsupervised learning algorithms that work on a consistent Python interface. Weka is an open-source machine learning library for Java.

Java 52

Java Data Science Python Programming Language 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

ProjectPro

JUNE 9, 2021

On the other hand, a data engineer must have a solid database management base. In addition to SQL, a good command of languages like Python and R is an added advantage since data mining is part of a data engineer’s job. Data mining and data management skills are essential for a data engineer.nd

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

OCTOBER 18, 2021

Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). Modern cybersecurity systems are utilizing machine learning methods a lot. This system will take user speech as input.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

U-Next

DECEMBER 2, 2022

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?: . Our way of life has been transformed by artificial intelligence (AI) in a variety of ways.

Management 40

Management Recruitment Finance Data Mining 40

ProjectPro

DECEMBER 17, 2021

And, scientists working at various pharmaceutical companies are thus trying to utilize artificial intelligence technology for improving its diagnosis so that medical practitioners can save many more human lives. Your task is to train a deep learning model to identify the polyp regions from the test images.

Data Science 52

Data Science Medical Datasets 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. This field allows you to transform the enormous amounts of data produced by IoT devices into insightful knowledge that has the potential to change how large-scale industries work. Digital Image Processing: 6.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

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

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

Knowledge Hut

MAY 23, 2024

This tool can work in close tandem with other products like Search Console, Google Ads, and Data Studio, which makes it a widespread option for anyone using leveraging different Google products. Through Google Analytics, data scientists and marketing leaders can make better marketing decisions. Multipurpose Data science Tools 4.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

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

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.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

JANUARY 18, 2024

It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe. SQL for data migration 2. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Pinterest Engineering

MARCH 5, 2024

To make the ads Click-through rate (CTR) predictions more personalized, our team has adopted users’ real time behavior histories and applied deep learning algorithms to recommend appropriate ads to users. Model Stability: Resilient Batch Norm Improving the stability and training speed of deep learning models is a crucial task.

Machine Learning 62

Machine Learning Deep Learning Architecture Data Mining 62

AltexSoft

JULY 27, 2021

These days, the true power of customer experience personalization can be realized with the help of machine learning. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. But such data is more accurate.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Edureka

FEBRUARY 27, 2023

However, data warehouses can be difficult and expensive to maintain, and they can become stale if not regularly updated with new data. Data Mining: Data mining extracts valuable information from large data sets.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

U-Next

AUGUST 25, 2022

The popular Machine Learning models and algorithms widely employed in the Artificial Intelligence business include supervised and unsupervised learning algorithms , random forest, k-nearest neighbor, and basics of deep learning. Machine Learning Types. Semi-Supervised Learning.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

ProjectPro

JANUARY 25, 2022

Yahoo utilizes Apache Spark's Machine Learning capabilities to customize its news, web pages, and advertising. The value attribute of a Broadcast variable holds the data and returns a broadcasted result. Accumulator variables are used to aggregate data using associative and commutative processes.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

FEBRUARY 7, 2023

This tool is also one of the Data Science Bootcamp prerequisites and has to be installed on a system or you can work on online development platforms like Google Colab. Gets slow when working on heavy Deep Learning Algorithms 2. Centralize data resources Data Science Platforms have a unified location for all work.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

ProjectPro

AUGUST 5, 2021

FastAI is an open-source library that allows users to quickly create and train deep learning models for various problems, including computer vision and NLP. You can build a traffic jam prediction model using deep learning techniques in Python. However, this data isn’t always easy to get.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. 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. Concepts of deep learning can be used to analyze this dataset properly.

Big Data 52

Big Data Coding Project Hadoop 52