ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1. Tessaract 4.

Machine Learning 40

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Knowledge Hut

JUNE 16, 2023

New generative AI algorithms can deliver realistic text, graphics, music and other content. 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.

Engineering 52

Engineering Deep Learning Programming Language Software Engineer 52

Knowledge Hut

NOVEMBER 18, 2023

From breakthroughs in machine learning to advancements in language processing, the list goes on and on. Machine Learning Platforms Machine learning is an AI technology that focuses on developing algorithms and models, enabling computers to learn patterns and make decisions without being explicitly programmed.

Technology 52

Technology Medical Deep Learning Healthcare 52

ProjectPro

FEBRUARY 11, 2021

Spoiler Alert: Becoming a machine learning engineer can sound like a hard-to-reach goal but let us tell you the truth – it isn’t as hard as it seems. Image Credit: Makeameme.org So you are considering learning machine learning skills , and you’ve heard that becoming a machine learning engineer is the way to go.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Edureka

MAY 6, 2024

AI in finance means using advanced technologies like machine learning , natural language processing, and data analytics to improve how banks and financial companies handle different tasks. Fraud Detection : Machine learning helps models learn from previous fraud cases to spot similar patterns and predict possible fraud as it happens.

Finance 52

Finance Banking Algorithm Machine Learning 52

ProjectPro

FEBRUARY 26, 2021

Wondering how much is the machine learning engineer salary? In this article, you’ll get some insider expert advice, including helpful resources, to help determine the machine learning engineer's average salary for your location, skills, and experience level. Well, we have got you covered. To put it simply- a lot!

Machine Learning 40

Machine Learning Engineering Portfolio Deep Learning 40

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. Through the article, we will learn what data scientists do, and how to transits to a data science career path.

Data Science 52

Data Science Datasets Machine Learning Portfolio 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

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Knowledge Hut

NOVEMBER 19, 2023

As an AI professional, you’ll focus on developing intelligent algorithms and systems that take up tasks that could only be performed by humans. There are various career options in artificial intelligence that you can consider if you want to be a machine learning engineer, data scientist, AI researcher or an AI ethicist.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Knowledge Hut

NOVEMBER 17, 2023

Utilizing their expertise in data science, machine learning, and programming, they develop artificial intelligence systems that carry out tasks that would typically require human assistance. Therefore, the ability to create algorithms that are flexible and evolvable is a prerequisite for the AI developer. Who is an AI Developer?

Healthcare 52

Healthcare Deep Learning Certification Algorithm 52

Knowledge Hut

NOVEMBER 27, 2023

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Is it Data Visualization where you present your findings in form of a report or a Dashboard, or is it Machine Learning where you build ML models and deploy them?

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

ProjectPro

JANUARY 21, 2022

The solution is devised by applying statistical algorithms called machine learning models, which assist in revealing hidden patterns in the data. Well-versed with applications of various machine learning and deep learning algorithms. Dive into Algorithms! is a bonus. Mathematics is Key!

Deep Learning 52

Deep Learning Data Science Algorithm Programming Language 52

RandomTrees

JANUARY 5, 2024

It’s not just about creating an algorithm that can identify people in photos or even generating new music based on what you like; it’s about making sure that AI is accessible to everyone. Let’s dive deep into the concept of Operationalizing AI in every sector. Make AI algorithms more accurate by hiring subject matter experts.

Algorithm 52

Algorithm Business Analyst High Quality Data Portfolio 52

Knowledge Hut

JUNE 20, 2023

It is used to develop algorithms and applications to make computers understand, interpret and generate human language. It uses statistical and Machine Learning techniques to analyze and interpret large amounts of text data. A Neuroinformatician develops and implements algorithms and models to analyze and interpret brain data.

Process 52

Process Computer Science Algorithm Education 52

Data Engineering Podcast

MAY 25, 2020

And for your machine learning workloads, they’ve got dedicated CPU and GPU instances. Machine learning is finding its way into every aspect of the data landscape. And for your machine learning workloads, they’ve got dedicated CPU and GPU instances.

Machine Learning 100

Machine Learning Portfolio Deep Learning Data Engineering 100

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.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

FEBRUARY 19, 2021

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Is consuming caffeine and smoking-related to mortality risk?

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

Knowledge Hut

DECEMBER 27, 2023

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. The software includes data analysis and machine learning models that automatically recognize user characteristics and show them product preferences accordingly.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Data Engineering Podcast

JUNE 8, 2020

Machine learning is finding its way into every aspect of the data landscape. Springboard has partnered with us to help you take the next step in your career by offering a scholarship to their Machine Learning Engineering career track program. Machine learning is finding its way into every aspect of the data landscape.

Data Management 100

Data Management Management Machine Learning Portfolio 100

ProjectPro

NOVEMBER 3, 2021

Access Job Recommendation System Project with Source Code Table of Contents How to Become a Freelance Data Scientist Step-1: Explore the world of Data Science and Identify your bias Step-2: Diversify your skills and keep them up to date Step-3: Build an attractive Project Portfolio Step-4: Start Small! Step-7: Keep Learning!

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

ProjectPro

JANUARY 19, 2022

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Machine Learning and Deep Learning Understanding machine learning and deep learning algorithms aren’t a must for data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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. "Multiple Object Tracking" (MOT) uses a tracking algorithm to follow every object of interest in the video.

Project 52

Project Electronics Programming Language Algorithm 52

Knowledge Hut

OCTOBER 27, 2023

Whether you are a student or a working professional, the journey to be an industry-ready Data Scientist would never be fulfilled unless there is a good portfolio of projects considerably demonstrated in the resume. Recently, various state of the art deep learning methods is also being developed for recommendation systems.

Data Science 52

Data Science Python Project Manufacturing 52

ProjectPro

DECEMBER 10, 2021

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

NOVEMBER 24, 2021

FAQs on Learning Data Science Is data science a hard job? What are the requirements to learn machine learning? Is Data Science Hard to learn? Data Science is hard to learn is primarily a misconception that beginners have during their initial days. Is data science hard than software engineering?

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

Knowledge Hut

JUNE 26, 2023

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. Finally, make data visualizations to display your project's results and construct a website to showcase your work, whether it's a portfolio or a personal site.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

DECEMBER 26, 2023

Offer a Wide Range of Specializations: Students are free to select from a wide variety of specializations, from traditional fields (such as languages, finance, accounting, mathematics, and economics) to contemporary fields (Machine Learning, Deep Learning, Cybersecurity, Cloud Computing, etc.)

Certification 95

Certification Java Google Cloud Education 95

AltexSoft

SEPTEMBER 19, 2023

Demand forecasting with machine learning allows companies to spot the slightest shifts in consumer behavior and predict a probable future demand for a product or service. Read our dedicated article to learn more about demand forecasting methods. That’s where modern analytical methods can help you out.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

ProjectPro

JULY 19, 2021

Having decided to delve into the world of AI and Machine Learning, you've chosen to move on the learning path of becoming a computer vision engineer. Computer Vision Engineer Interview Questions on Deep Learning: Convolutional Neural Network 1) Explain with an example why the inputs in computer vision problems can get huge.

Engineering 40

Engineering Deep Learning Algorithm Machine Learning 40

Knowledge Hut

NOVEMBER 2, 2023

Aptitude for learning new big data techniques and technologies. Strong knowledge of machine learning/deep learning algorithms and related concepts. LinkedIn: Creating your portfolio of real world Azure data engineer project end to end is another option in addition to using LinkedIn for networking.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

NOVEMBER 23, 2021

Towards the end of the 2000s, complex neural networks and model-based deep learning saw a huge upsurge in demand with revolutionary results in the fields of computer vision and natural language processing. While reinforcement learning has been around the corner from the same time, it was overshadowed by its counterparts for decades.

Project 52

Project Python Algorithm AWS 52

Knowledge Hut

JANUARY 22, 2024

Picture yourself at the intersection of statistics and algorithms, where every line of code has the potential to unlock profound insights and reshape industries. Course Specializations Data science courses offer various specializations that allow students to focus their learning on specific areas of interest.

Data Science 52

Data Science Certification Education Data Lake 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

JULY 17, 2021

AI Engineer works with Machine Learning and Artificial Intelligence techniques, such as Neural Networks, Natural Language Processing, etc., The job of an AI Engineer comes with many responsibilities, including data preparation , AI programming, algorithm design, data analytics, and a lot more. Are AI Engineers in Demand?

Engineering 40

Engineering Machine Learning Data Science Algorithm 40