KDnuggets

NOVEMBER 23, 2021

Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself.

Data Science 159

Data Science Project Data Pipeline Data 159

Knowledge Hut

OCTOBER 30, 2023

Natural Language Processing or NLP is a part of Machine Learning focusing on spoken language with loads of data. Interactions between people and machines using natural language are the subject of the interdisciplinary field of natural language processing (NLP). What are Natural Language Processing Projects?

Coding 52

Coding Project Datasets Machine Learning 52

Knowledge Hut

MAY 9, 2024

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

MAY 31, 2023

From cutting-edge research to real-world applications, here we will investigate the most executed artificial intelligence projects. Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field. What are Artificial Intelligence Projects?

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. 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.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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. And finally, what stands in the way of NLP adoption and how to overcome it. Main NLP use cases. So, what is possible with NLP? Low-level vs high-level NLP tasks.

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Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

OCTOBER 29, 2023

Choosing the best computer science project topic is critical to the success of any computer science student or employee. After all, the more engaging and interesting topic, the more likely it is that students or employees will be able to stay motivated and focused throughout the duration of the project.

Computer Science 111

Computer Science Coding Project Hospitality 111

Knowledge Hut

NOVEMBER 17, 2023

Data Analysis and Manipulation: AI relies heavily on data. It is essential to have proficiency in data analysis and manipulation libraries such as Pandas and NumPy and data visualization tools like Matplotlib. Participate in AI Projects: Practical experience is invaluable.

Deep Learning 52

Deep Learning Data Science Machine Learning Certification 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 Data Science Machine Learning 98

Knowledge Hut

DECEMBER 27, 2023

If a person wanted to work as a software engineer, they would be advised to enroll in a coding Bootcamp even if they had a degree in computer science but little prior programming experience. Software engineers should practice their technical skills for software engineer by creating projects and programs on actual computer systems.

Software Engineer 98

Software Engineer Software Engineering Engineering Programming Language 98

Knowledge Hut

JUNE 20, 2023

Natural Language Processing (NLP) has been a buzzword in the tech industry. From virtual assistants like Siri and Alexa to chatbots and language translators, NLP has made it possible for machines to understand and respond to human language in a way that earlier was considered impossible. What is Natural Language Processing?

Process 52

Process Computer Science Algorithm Education 52

KDnuggets

NOVEMBER 29, 2021

Also: 19 Data Science Project Ideas for Beginners; How to Build a Knowledge Graph with Neo4J and Transformers; Data Scientists: How to Sell Your Project and Yourself; Where NLP is heading.

Data Science 99

Data Science SQL Project Data 99

ProjectPro

JANUARY 24, 2023

Python is one of the most popular programming languages for building NLP projects. If you are interested in learning the reasons behind this popularity of Python among masses for creating NLP projects solutions, read this article till the end. It is one of the leading libraries for working with textual data.

Python 52

Python Project Programming Language Data Mining 52

Tweag

MAY 20, 2024

As one of our projects, we wanted to develop a tool that would tell us where exactly time flew to in a given period of time, and so was born work-dAIgest : a Python tool that uses your standard workplace tools (Google Calendar, GitHub, Jira, Confluence, Slack, …) and a large language model (LLM) to summarize what you’ve accomplished.

AWS 59

AWS Python Project Data Science 59

KDnuggets

NOVEMBER 17, 2021

Don’t Waste Time Building Your Data Science Network; 19 Data Science Project Ideas for Beginners; How I Redesigned over 100 ETL into ELT Data Pipelines; Anecdotes from 11 Role Models in Machine Learning; The Ultimate Guide To Different Word Embedding Techniques In NLP.

Data Science 65

Data Science Project Building Machine Learning 65

ProjectPro

FEBRUARY 6, 2023

And this information is primarily available in the form of textual data. Many researchers are keen on finding interesting ways to mine and leverage this data. And one way to do that is to use Natural Language Processing (NLP) methods along with machine learning algorithms. Table of Contents What is Stemming in NLP?

Algorithm 52

Algorithm Programming Language Machine Learning Python 52

Knowledge Hut

DECEMBER 26, 2023

In today’s AI-driven world, Data Science has been imprinting its tremendous impact, especially with the help of the Python programming language. Owing to its simple syntax and ease of use, Python for Data Science is the go-to option for both freshers and working professionals.

Data Science 92

Data Science Python Programming Language Portfolio 92

Knowledge Hut

MAY 23, 2024

Data science has become the fastest-growing field and a buzzword that every industry knows and leverages. This vast stream of interdisciplinary domains deals with data in different ways. It helps companies understand data and obtain meaningful insights from it. Each of these tools comes with a set of some of these usages.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Edureka

MARCH 4, 2024

Prompt Engineering Courses and Training Conclusion Introduction To become a prompt engineer, one needs technical skills and domain knowledge in natural language processing (NLP). Aspirants should concentrate on self-learning and NLP domain expertise to succeed in this quickly expanding field. What is the Salary of the Prompt Engineers?

Engineering 40

Engineering Portfolio Computer Science Machine Learning 40

KDnuggets

NOVEMBER 17, 2021

Don’t Waste Time Building Your Data Science Network; 19 Data Science Project Ideas for Beginners; How I Redesigned over 100 ETL into ELT Data Pipelines; Anecdotes from 11 Role Models in Machine Learning; The Ultimate Guide To Different Word Embedding Techniques In NLP.

Data Science 52

Data Science Project Building Machine Learning 52

Knowledge Hut

JULY 7, 2023

Software engineering, in general, is a dynamic and rapidly changing field that demands a thorough understanding of concepts related to programming, computer science, and mathematics. Furthermore, AI-powered project management tools may aid in the planning and scheduling of projects, resource allocation, and risk management in the project.

Software Engineer 52

Software Engineer Software Engineering Engineering Data Mining 52

Knowledge Hut

SEPTEMBER 6, 2023

Nowadays, I often hear people saying they aspire to become data scientists or they want to work with data, but they don’t know the path to do so. I myself have faced this problem and data science certifications come as a rescue for this problem. What is Data Science Certification?

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

KDnuggets

NOVEMBER 23, 2021

Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself.

Data Science 83

Data Science Project Data Pipeline Data 83

Knowledge Hut

FEBRUARY 2, 2024

Computer and information technology job roles are projected to grow faster from 2022 to 2032 than other roles. 10 Best Computer Science Courses To Get a High Paying Job 1. Website Development is highly sought after, and great website designers tend to get paid in lakhs for a single project.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

Knowledge Hut

DECEMBER 26, 2023

For many applications, shallow machine learning models and traditional data analysis approaches fail to reach the performance of deep learning models. Sharpen your skills with these online Data Science courses and learn to tackle complex Data Science problems. TensorFlow uses dataflow graphs to process data.

Deep Learning 98

Deep Learning Python Machine Learning Programming Language 98

ProjectPro

DECEMBER 21, 2021

The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge. This includes knowledge of data structures (such as stack, queue, tree, etc.), billion in 2028?

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Edureka

JUNE 12, 2024

This could mean anything from understanding human language to spotting patterns in data, predicting trends, and even making decisions. They should also ensure data security from breaches or unauthorized access, which is crucial to maintaining trust with customers and avoiding any legal penalties.

Finance 40

Finance Algorithm Recruitment Machine Learning 40

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recent reports highlight a significant increase in demand for data scientists, rising by 27.9%

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

MARCH 20, 2024

Help with direct processing and R&D to meet the project's requirements. Working on cloud infrastructure like AWS and other data platforms like Databricks and Snowflake. Data modeling and engineering: AI engineers must clearly understand data structures, modeling, and engineering techniques.

Engineering 52

Engineering NoSQL Programming Language Deep Learning 52

Data Engineering Podcast

MARCH 1, 2021

Summary The process of building and deploying machine learning projects requires a staggering number of systems and stakeholders to work in concert. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Machine Learning 100

Machine Learning Data Warehouse Scala Hadoop 100

KDnuggets

NOVEMBER 29, 2021

Also: 19 Data Science Project Ideas for Beginners; How to Build a Knowledge Graph with Neo4J and Transformers; Data Scientists: How to Sell Your Project and Yourself; Where NLP is heading.

Data Science 66

Data Science SQL Project Data 66

ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Strong understanding of statistical techniques used to quantify the results of NLP algorithms.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

OCTOBER 6, 2021

This blog is a step-by-step guide for a beginner in NLP. If you are someone who wants to know what is the best way to learn NLP from scratch, then please go through our blog till the end. We assure you will build the confidence and gear up yourself to make a career transition into data science as an NLP Engineer.

Deep Learning 52

Deep Learning Programming Language Machine Learning Algorithm 52

Knowledge Hut

NOVEMBER 19, 2023

AI as a Career Choice The development of Artificial Intelligence (AI) offers a promising career option for those interested in understanding how technology can assist with data and problem resolution. Data engineers design and maintain data pipelines to make data available for AI and ML apps.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Knowledge Hut

MARCH 12, 2024

This includes experts in creating algorithms, models, and systems that allow computers to learn using data or to make predictions or decisions. Learning in machines is grounded in mathematics, statistics, and computer science theories. Experience : The salary that a machine learning expert receives heavily depends on experience.

Machine Learning 52

Machine Learning Computer Science Portfolio Deep Learning 52

ProjectPro

JANUARY 31, 2023

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. This explains why the insurance sector is acquiring an increasing amount of data.

Insurance 75

Insurance Machine Learning Project Algorithm 75