Knowledge Hut

MARCH 12, 2024

Skills : The capability of a particular program language, machine learning system, and emergent technology surely raise the market value of machine learning practitioners. Skills like Python programming, TensorFlow, PyTorch, natural language processing (NLP), and deep learning are highly demanded in the industrial field.

Machine Learning 52

Machine Learning Computer Science Portfolio Deep Learning 52

Knowledge Hut

JUNE 16, 2023

Artificial Intelligence Technology Landscape An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. AI engineers are well-versed in programming, software engineering, and data science.

Engineering 52

Engineering Deep Learning Programming Language Software Engineer 52

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Assess your existing skills and knowledge that can be transferred to a data science career.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Knowledge Hut

NOVEMBER 17, 2023

AI encompasses several different subfields, including machine learning, deep learning, computer vision, and more. Machine Learning and Deep Learning: To fully comprehe­nd machine learning and deep learning, it is crucial to grasp the fundamental principles that underlie these­ technologies.

Deep Learning 52

Deep Learning Data Science Machine Learning Certification 52

ProjectPro

JANUARY 21, 2022

Capability to leverage data to produce business solutions. Well-versed with applications of various machine learning and deep learning algorithms. Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization What does a Career in Data Science Look like?

Deep Learning 52

Deep Learning Data Science Algorithm Programming Language 52

Knowledge Hut

NOVEMBER 19, 2023

How to become: The career path for an AI engineer requires a degree in computer science or a similar field and becoming fluent with AI development tools and languages while creating an AI project portfolio. Salary: Senior data scientists can earn more than $150000, while entry-level positions pay between $7000 to $100000.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Knowledge Hut

JUNE 26, 2023

What are Data Engineering Projects? If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. You should be able to identify potential weak spots in data pipelines and construct robust solutions to withstand them.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

NOVEMBER 17, 2023

Finance and Healthcare: Industries with a strong focus on AI, such as finance and healthcare, pay competitive salaries to attract AI experts for tasks like algorithmic trading and healthcare data analysis. Gain Experience: Build a strong portfolio of AI projects and practical experience. Why are AI Developers Paid so Much?

Healthcare 52

Healthcare Deep Learning Certification Algorithm 52

Knowledge Hut

NOVEMBER 2, 2023

Technology has made it possible for us to manage a sizable volume of data consumed rapidly thanks to the increasing advancement of IoT in every aspect of life. Aviation Data Analysis Aviation Data can categorize passengers, track their behavioral trends, and target them with pertinent advertisements.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JUNE 20, 2023

A good understanding of image processing algorithms and techniques Experience in deep learning frameworks such as TensorFlow and PyTorch Good communication skills and teamwork skills The average salary for an Image Processing Engineer is around $90,000 in 2023. Programming languages such as Python and C are a must.

Process 52

Process Computer Science Algorithm Education 52

Knowledge Hut

NOVEMBER 27, 2023

Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. Learn about Dataframes, Pandas, and Numpy to begin with. Scikit-Learn is one of the most important Python libraries for building Machine Learning models.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

ProjectPro

AUGUST 24, 2021

To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better. So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. Blob Storage for intermediate storage of generated predictions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

MAY 2, 2023

They Help in Building a Portfolio and Showcasing their Talent to Future Employers Software development projects can be an excellent way for students to build portfolios and showcase their skills to future employers. Also, you must know about software development and data analysis. Have a look. Source Code. Source Code.

Project 52

Project Electronics Programming Language Algorithm 52

ProjectPro

JANUARY 19, 2022

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. For machine learning, an introductory text by Gareth M.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Typically, data science projects involve using an abundance of ls (eg. Gets slow when working on heavy Deep Learning Algorithms 2. Platform H2O.ai

Data Science 52

Data Science Google Cloud AWS Programming Language 52

AltexSoft

MAY 5, 2023

The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

Knowledge Hut

DECEMBER 27, 2023

Overnight, data science 's potential exploded. All thanks to scholars who combined statistics and computer science for data analysis, quick processing, inexpensive storage, big data, and other factors. To remove meaningful data from enormous amounts of data, processing of data is necessary.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Knowledge Hut

JANUARY 2, 2024

By the time the course ends, you will have a vast project portfolio that can help you find excellent job roles at companies dedicated to improving business through cloud technology. Their top coding bootcamps program helps students build a well-rounded portfolio and gain expertise in various software technologies.

Coding 52

Coding Software Engineer Software Engineering Certification 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence in Healthcare: It has become common to use patients’ data to better diagnose diseases. Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. You don’t need to worry at all if that is the case.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

JANUARY 22, 2024

Some common specializations include: Machine Learning and AI These courses provide in-depth knowledge of machine learning algorithms like regression, classification, clustering, deep learning and natural language processing. The project-based learning helps students build an impressive portfolio to showcase their skills.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

JULY 23, 2021

Orchestrate Redshift ETL using AWS Glue and Step Functions AWS Projects for Portfolio 17. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. With Amazon Polly, you can use advanced deep learning technologies to carry out accurate conversions. Text-to-Speech Converter 14.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

DECEMBER 17, 2021

With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio. One way to help the investors is to give them a fair idea of the risks involved by predicting the returns using machine learning.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

OCTOBER 27, 2021

The banking and finance industry generates enormous amounts of data related to transactions, billing, and payments from customers, which can provide accurate insights and predictions to be fed to machine learning models. Also, perform data cleaning to remove missing values, NaN’s, and duplicate columns. PREVIOUS NEXT <

Finance 52

Finance Machine Learning Project Banking 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

ProjectPro

OCTOBER 18, 2021

Developing such ML projects requires an in-depth understanding of image clustering, classification , computer graphics, and data analysis. Machine Learning frameworks like Scikit-learn and TensorFlow can help you in this project. It uses deep learning algorithms to classify the list of songs to the smartphone user.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

DECEMBER 22, 2016

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. Data analysis begins with a question or an assumption.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

JULY 17, 2021

You need to be well versed with the neural network and deep learning architectures to solve speech recognition , translation, image classification problems, etc. These professionals may already be equipped with the skills in data analysis , data visualization , data migration, data modeling , etc.

Engineering 40

Engineering Machine Learning Data Science Algorithm 40

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Hadoop projects for beginners are simply the best thing to do to learn the implementation of big data technologies like Hadoop.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

JANUARY 24, 2023

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Let us now explore the SageMaker architecture to understand what makes Amazon SageMaker unique and popular among the masses. This library provided by SageMaker is similar in usage to Apache Spark MLLib.

Building 52

Building Algorithm Machine Learning AWS 52

ProjectPro

SEPTEMBER 26, 2021

You shall know database creation, data manipulation, and similar operations on the data sets. Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Databand.ai

DECEMBER 13, 2022

Currently, as the Associate Director of Platform and DevOps Engineering at MIT, he is focused on marrying the worlds of software engineering, systems automation, and data analysis. Furthermore, he is experienced in most types of datasets having built deep learning models in NLP, CV, and RL tasks.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

FEBRUARY 1, 2022

you set up to source your data. Data Cleaning — Explaining the data inconsistencies and how did you handle them. Data Exploration — Talk about the exploratory data analysis you performed for the initial investigation of your data to spot patterns and anomalies.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

JUNE 13, 2018

Project Idea 3: Build an ETL Data Pipeline on AWS EMR Cluster This project helps you build a fully working scalable, reliable, and secure AWS EMR complex data pipeline from scratch that provides support for all data stages from data collection to data analysis and visualization. Start working on them today!

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

ProjectPro

JULY 28, 2021

What does a data scientist at Google do? Google is a market leader in the tech space and you will get to develop and apply your skills in data analysis , data handling, and management as a Data Scientist. Access Data Science and Machine Learning Project Code Examples PREVIOUS NEXT <

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

ProjectPro

FEBRUARY 24, 2016

A data scientist must have in-depth knowledge of technologies used to tame big data and should always be willing to learn the merging ones. It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40