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

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. When you get to implement those algorithms, mathematics becomes more fun.

Deep Learning 52

Deep Learning Data Science Algorithm Programming Language 52

Knowledge Hut

NOVEMBER 17, 2023

Programming aptitude, however, is far more crucial for an AI engineer than language knowledge. Artificial intelligence (AI) algorithms differ greatly from traditional codes since the primary goal of an AI system is to function without human oversight.

Healthcare 52

Healthcare Deep Learning Certification Algorithm 52

Knowledge Hut

JUNE 20, 2023

Natural Language Processing is a subfield of Computer Science and Artificial Intelligence that focuses on the interaction between computers and humans through natural language. It is used to develop algorithms and applications to make computers understand, interpret and generate human language.

Process 52

Process Computer Science Algorithm Education 52

Knowledge Hut

MAY 2, 2023

They Help in Improving Technical Skills Working on software development projects can also help further technical skills like working with programming languages, database management, user interface design, software testing, and much more. These skills are highly valued and are expected by all software companies. Have a look.

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! Step-7: Keep Learning!

Portfolio 52

Portfolio Data Science Algorithm Programming Language 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. Understand Machine Learning Even More It is one thing to know about Machine Learning algorithms and how to call their functions. This is where Data Science comes into the picture.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

ProjectPro

SEPTEMBER 6, 2021

Deep learning solutions using Python or R programming language can predict fraudulent behavior. Classification algorithms can effectively label the events as fraudulent or suspected to eliminate the chances of fraud. It is continually achieving better model portfolios as a result.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

ProjectPro

FEBRUARY 11, 2021

(2023 Update) Machine Learning Engineer – The Hype is Real 2) What is a machine learning engineer? How to become a machine learning engineer at Google? A true machine learning engineer is a unicorn. That is why many machine learning tools are available to make it easier.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

JANUARY 19, 2022

Good skills in computer programming languages like R, Python, Java, C++, etc. Good knowledge of various machine learning and deep learning algorithms will be a bonus. Computer Programming A decent understanding and experience of a computer programming language is necessary for data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

AUGUST 13, 2021

Python Machine Learning Projects on GitHub In this section, you will find those machine learning projects that can be easily implemented using the Python Programming language. This application of machine learning algorithms has changed the game for many businesses.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

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

ProjectPro

NOVEMBER 24, 2021

Knowledge of machine learning algorithms and deep learning algorithms. Strong programming skills. Recommended Reading: 50 ML Projects To Strengthen Your Portfolio and Get You Hired FAQs on Learning Data Science Is data science a hard job? What are the requirements to learn machine learning ?

Data Science 52

Data Science Consulting Machine Learning Software Engineer 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. Coding Dojo's Software Development Bootcamp Coding Dojo offers comprehensive software development coding programs for both full-time and part-time students.

Coding 52

Coding Software Engineer Software Engineering Certification 52

Knowledge Hut

JUNE 16, 2023

Artificial intelligence, Deep learning, and Machine learning are the current buzzwords in the industry. Deep learning is a branch of this impeccable machine learning and artificial intelligence. The above image represents the difference between Artificial intelligence, Machine Learning, and Deep Learning.

Deep Learning 52

Deep Learning Engineering Recruitment Data Science 52

ProjectPro

AUGUST 16, 2021

Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. This basic analysis helps in realising important features of the dataset and saves time by assisting in selecting machine learning algorithms that one should use.

Data Mining 40

Data Mining Coding Project Datasets 40

Knowledge Hut

DECEMBER 26, 2023

Following an MBA in finance, the best career options after BCom include those as a finance manager, consultant, financial analyst, credit risk manager , portfolio manager, and treasurer. Chartered Accountancy (CA)  One of the top career options for graduates of commerce programs is chartered accounting (CA).

Banking 52

Banking Insurance Finance Cloud Computing 52

ProjectPro

JULY 17, 2021

The job of an AI Engineer comes with many responsibilities, including data preparation , AI programming, algorithm design, data analytics, and a lot more. Once data preparation is complete, constructing Machine Learning-based models is an equally significant part of the job role.

Engineering 40

Engineering Machine Learning Data Science Algorithm 40

ProjectPro

JULY 28, 2021

Data analytics combined with machine learning algorithms and Artificial Intelligence (AI) technologies predict the data patterns and trends in these applications, and there is no surprise that Google has mastered it. What are the essential qualities and features of an algorithm? Explain anomaly detection methods and techniques.

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

Databand.ai

DECEMBER 13, 2022

Currently, Charles works at PitchBook Data and he holds degrees in Algorithms, Network, Computer Architecture, and Python Programming from Bradfield School of Computer Science and Bellevue College Continuing Education.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

SEPTEMBER 26, 2021

Machine Learning: Big Data, Machine Learning, and Artificial Intelligence often go hand-in-hand. Data Scientists use ML algorithms to make predictions on the data sets. Basic knowledge of ML technologies and algorithms will enable you to collaborate with the engineering teams and the Data Scientists.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

OCTOBER 27, 2021

The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data. Our data is imbalanced.

Finance 52

Finance Machine Learning Project Banking 52

Knowledge Hut

JANUARY 18, 2024

The insights that are generated through this process of Data Science can enable businesses to identify new opportunities, increase operational efficiency and effectiveness, improve their current strategies to grow their portfolio, and strengthen their position in the market. SQL for data migration 2.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

FEBRUARY 7, 2023

Automation Tools These tools help engineers to automate repetitive tasks in data science, including training models, selecting algorithms, and more. They provide both drag-and-drop and code interfaces and have a stronghold in big companies and may even offer unique capabilities or algorithms. They are: 1. Platform H2O.ai

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

APRIL 1, 2021

Here is our quick checklist of data science skills - Programming Skills - You need to know a programming language like Python or R. I wrote the entire piece of code by myself and it was C programming language at that time. Last year GPT3 came, which is one of the most interesting algorithms.

Data Science 40

Data Science Telecommunication Algorithm Machine Learning 40

ProjectPro

JANUARY 25, 2022

Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Multi-Language Support PySpark platform is compatible with various programming languages, including Scala, Java, Python, and R.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

AUGUST 24, 2021

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects 1) Smart IoT Infrastructure In this IoT project , you will be discussing a general architecture for building smart IoT infrastructure. So, read the next section to find out how you can build a successful project portfolio.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

AUGUST 5, 2021

If you are looking to break into AI and don’t have a professional qualification, the best way to land a job is to showcase some interesting artificial intelligence projects on your portfolio or show your contributions to open-source AI projects. Otherwise, the resume is discarded, and the candidate is rejected for the job.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 2, 2021

This process is almost indispensable even for more complex algorithms like Optical Character Recognition, around which companies like Microsoft have built and deployed entire products (i.e., Alternatively, you could attempt to implement other Grayscaling algorithms like the Lightness and the Average Method. Microsoft OCR).

Coding 40

Coding Python Process Project 40

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

NOVEMBER 30, 2021

When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects ETL Pipeline Tutorial - How to Build an ETL Pipeline?

Process 52

Process Data Pipeline Data Warehouse AWS 52