Knowledge Hut

DECEMBER 22, 2023

Roles & Responsibilities: Develop algorithms and machine learning models Implement AI frameworks and programming languages Design, test, and deploy AI models Collaborate with data scientists and other AI professionals Top Hiring Companies: Google, IBM, Microsoft, Amazon, Facebook, NVIDIA, Apple, Intel, Baidu, and Oracle.

Amazon Web Services 98

Amazon Web Services Computer Science Algorithm Programming Language 98

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. influence the land prices. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

NOVEMBER 2, 2023

This article contains the source code for the top 20 data engineering project ideas. 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

Knowledge Hut

NOVEMBER 28, 2023

For example, the developers who constructed your favorite social media platform accomplish this goal through code that allows you to post, share, and comment in seconds. Evaluating New and Existing Software Following coding and encrypting, software developers test their products to ensure they're fully functional and bug-free.

Amazon Web Services 52

Amazon Web Services Portfolio Programming Language Java 52

Knowledge Hut

NOVEMBER 30, 2023

Build a Data Science Portfolio To level up, you need to get comfortable with the data science concepts once you start to understand them. Build a data science portfolio to highlight your work and learn from others' work as you progress. It is important that you work on projects for your portfolio to demonstrate your experience.

Data Science 98

Data Science Portfolio Programming Language Programming 98

Knowledge Hut

FEBRUARY 29, 2024

Currently, numerous resources are being created on the internet consisting of data science websites, data analytics websites, data science portfolio websites, data scientist portfolio websites and so on. Repository GitHub: It is a place to find detailed codes, architecture design.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

DECEMBER 22, 2023

This blog offers a comprehensive explanation of the data skills you must acquire, the top data science online courses , career paths in data science, and how to create a portfolio to become a data scientist. Participate in data science projects, work on real-world datasets, and build a portfolio to showcase your skills to potential employers.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Knowledge Hut

MARCH 19, 2024

Professionals use statistical analysis and algorithms to extract knowledge from both structured and unstructured data. Algorithms and data structures are necessary for a successful software engineering profession. Gain practical experience writing code, troubleshooting it, and making it as efficient as possible.

Software Engineer 52

Software Engineer Software Engineering Engineering IT 52

Knowledge Hut

MARCH 19, 2024

After designing the software, they provide programmers with instructions so they can write and test computer code. Knowledge of Data Structures and Algorithms: Having a strong understanding of algorithms and data structures is essential for creating software that works well. Code testing finds mistakes.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. 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

Knowledge Hut

MARCH 20, 2024

When employed as a robotics engineer, you can focus on tasks like: Mobility and locomotion Senses and perception interface for operators Effectors and manipulators Coding How to Become a Robotics Engineer in 5 Simple Steps? Mathematics: Strong mathematical skills in areas like calculus and linear algebra for algorithm development.

Engineering 52

Engineering Portfolio Programming Language Manufacturing 52

Edureka

APRIL 24, 2024

Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data. Code Generation People with limited coding knowledge can now leverage generative AI to simplify coding processes for themselves.

Pharmaceutical 52

Pharmaceutical Manufacturing Datasets Algorithm 52

Knowledge Hut

MARCH 29, 2024

You should be able to resolve real-world issues implementing object-oriented design, databases, data structures, and algorithms should be clear. Besides these, at times you will need to step up to optimize the coding of other programmers in your department. Practice explaining your coding in simple terms.

Software Engineer 52

Software Engineer Software Engineering Engineering Recruitment 52

Knowledge Hut

MARCH 13, 2024

AI is the science of simulating human intelligence by using machines, software, and networks of complex algorithms to carry out specific tasks. These could range from reading, comprehending, generating code, detecting gunshots, and alerting authorities to being a stock broker, predicting the weather, and creating art.

Engineering 52

Engineering Programming Language Scala Algorithm 52

Knowledge Hut

MARCH 15, 2024

Then, as you start working, you will utilize this knowledge to optimize vital ML systems and algorithms. These systems are responsible for ingraining complex algorithms into digitized devices and increasing their processing power. For this, you should have robust coding skills in languages like Java, R, and Python.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

Python code may be used for several purposes, but three of the most common ones are Analysis of data and data science, Development of web applications, and Automation/scripting. The algorithm would still be able to examine the task after being evaluated on a testing set, validation data, or any other unknown data.

Data Science 98

Data Science Programming Language Deep Learning Machine Learning 98

Edureka

MAY 6, 2024

This is the core step where the machine learning algorithm learns from the data to make accurate predictions or decisions. Continuous Integration/Continuous Deployment (CI/CD): CI/CD ensures that any changes made to the code or “recipe” automatically trigger a build and deployment process for the updated machine learning model.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Knowledge Hut

JANUARY 19, 2024

Python developers use their programming and coding skills to combine software components and enhance features, data privacy, and security. He/she may be working on creating an app, designing a framework for code, making websites, or publishing new services. A Python developer can perform a wide range of tasks.

Python 52

Python Programming Language Algorithm Portfolio 52

Knowledge Hut

MARCH 19, 2024

Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms. Model Development: They are responsible for designing, building, implementing, and optimizing machine learning algorithms using regression, classification, clustering, and neural networks.

Software Engineer 52

Software Engineer Software Engineering Machine Learning Engineering 52

Knowledge Hut

MARCH 20, 2024

They track and remove any problems or errors in the automation code to increase efficiency. This encompasses the basics like algorithms, data structures, and software development methodologies. The foundations in programming, algorithms, and data structures are laid with it.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

ProjectPro

AUGUST 16, 2021

Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. Using this dataset, you can explore the differences between Apriori and Fpgrowth algorithms.

Data Mining 40

Data Mining Coding Project Datasets 40

Knowledge Hut

MARCH 14, 2024

They track and remove any problems or errors in the automation code to increase efficiency. This encompasses the basics like algorithms, data structures, and software development methodologies. The foundations in programming, algorithms, and data structures are laid with it.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

Knowledge Hut

MARCH 20, 2024

Here’s a 6-step procedure you can follow to do so: Step 1 : Learn how to code, as it is the minimum qualification required to become a software engineer. Build a portfolio or take part in coding competitions. Step 5 : You must then prepare for coding interviews methodically. If yes, Google is looking for you!

Software Engineer 52

Software Engineer Software Engineering Engineering Recruitment 52

Knowledge Hut

OCTOBER 26, 2023

Machine learning is a branch of AI; it's all about creating an algorithm, analyzing data, learning from data, process ing data, and identifying and applying patterns to data with minimal intervention by human s. T his is a useful machine learning project for beginners with source code in P ython.  

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

NOVEMBER 27, 2023

It is known that people from diverse backgrounds with zero experience turn out to be good data scientists in just a year through learning smart coding. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

DECEMBER 21, 2023

A machine learning engineer is a professional who develops and refines the algorithms which are further used by machine learning tools. A machine learning engineer also analyzes the cases where the ML algorithms are being used and determines the success probability of using each. Read on to find out.

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 52

Knowledge Hut

SEPTEMBER 6, 2023

Practical Experience and Portfolio Building: Throughout my career, I realized the significance of practical experience and maintaining a strong portfolio. By working on real-world projects learned from these video courses, I built a comprehensive portfolio that showcased my skills and expertise.

Computer Science 119

Computer Science Software Engineer Software Engineering Java 119

Knowledge Hut

MARCH 13, 2024

Cryptography Understanding: Learn cryptographic principles and algorithms for secure communication. Web Application Security: Understand web vulnerabilities and secure coding practices. Reverse Engineering: Learn the art of reverse engineering for understanding malicious code.

Portfolio 52

Portfolio Education Programming Language Certification 52

Knowledge Hut

APRIL 3, 2023

These include: A strong foundation in computer science, including knowledge of algorithms, data structures, and programming languages. In addition to technical skills, the roadmap highlights the importance of understanding DevOps practices, such as containerization, continuous integration, and deployment (CI/CD), and infrastructure as code.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 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. In the next step, you must write the code and build the software for unit testing. Source Code.

Project 52

Project Electronics Programming Language Algorithm 52

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!

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

Knowledge Hut

OCTOBER 26, 2023

You'll need to know about cyber security principles and methods, as well as how to code and network. You can make a web application or software that uses different algorithms to decrypt the Caesar Cipher. Violent-python3 Violet-python is an ethical hacking project with source code that has been fully converted to Python 3.

Project 52

Project Programming Language Algorithm Python 52

Knowledge Hut

NOVEMBER 27, 2023

Additionally, proficiency in probability, statistics, programming languages such as Python and SQL, and machine learning algorithms are crucial for data science success. Building a portfolio of data science projects: A GitHub repository or a personal website is great way to showcase your data science projects.

Data Science 52

Data Science Datasets Machine Learning Algorithm 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. Tips to overcome the AI challenges Ensure that the vendor has the relevant portfolio and expertise in AI.

Algorithm 52

Algorithm Business Analyst High Quality Data Portfolio 52

Knowledge Hut

JANUARY 24, 2024

From wrestling with complex datasets to crafting predictive models, a data scientist's routine is a dynamic interplay of analytical prowess, coding finesse, and a profound understanding of the business landscape. Data scientists select appropriate algorithms, train models on the data, and fine-tune them for optimal performance.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

FEBRUARY 16, 2024

Data modelling and analysis using custom-built algorithms. A challenging and well-executed project that you accomplish independently could be a great way to demonstrate your knowledge, influence potential hiring managers, and set your portfolio apart from the competition. Data collection and cleansing.

Business Analyst 52

Business Analyst Portfolio Programming Language Certification 52

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. Algorithms, data preparation and model evaluations. AI Development Roles & Responsibilities: AI Developers develop applications, systems, and solutions based on AI algorithms.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52