Knowledge Hut

JUNE 27, 2023

The integration of computer science with emerging technologies like artificial intelligence, machine learning, and blockchain is driving the field towards new frontiers, revolutionizing industries and creating new opportunities for innovation and growth. billion by 2025, cloud computing will keep growing.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

ProjectPro

JANUARY 20, 2022

is a question that every beginner seeking a career in the machine learning domain has in his mind. Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. In other words, machine learning facilitates the generation of analytical models.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

Knowledge Hut

NOVEMBER 27, 2023

In 2020, this number grew to 59 ZB and was expected to reach a whopping 175 ZB in 2025. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. But what gives you an edge over your peers is the in-depth knowledge of various Machine Learning algorithms.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

ProjectPro

JULY 21, 2021

As per the Future of Jobs Report released by the World Economic Forum in October 2020, humans and machines will be spending an equal amount of time on current tasks in the companies, by 2025. Good knowledge of commonly used machine learning and deep learning algorithms.

Coding 52

Coding Project Deep Learning Algorithm 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

U-Next

AUGUST 25, 2022

Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. TensorFlow.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

ProjectPro

JANUARY 13, 2022

As per Statista, by 2025, the total amount of data created, recorded, copied, and consumed worldwide is expected to exceed 180 zettabytes. There is a high demand for machine learning algorithms that can quickly summarize lengthy texts and offer accurate insights. which are implemented using the Python libraries Gensim or Sumy.

Python 52

Python Algorithm Deep Learning Data Science 52

Knowledge Hut

OCTOBER 26, 2023

Over 95% of new digital workloads will be implemented on the cloud by 2025, according to Gartner's prediction. You should consider learning AWS for multiple reasons: It offers many useful and easy-to-use tools and services at an affordable price. With AWS, they can simply use computing resources whenever they want and can save a lot.

AWS 52

AWS Coding Project Cloud Computing 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. Significant automation capabilities- McKinsey expects automation to influence 25% of the insurance sector by 2025.

Insurance 75

Insurance Machine Learning Project Algorithm 75

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. Quantifications of data. Data annotation.

Unstructured Data 89

Unstructured Data Pipeline-centric Database-centric Entertainment 89

U-Next

SEPTEMBER 29, 2022

billion in 2025 at a CAGR of 35%. . AI Analytics Frameworks & Decision Making: learn how to model AI to crush down huge data and create apt business decisions and predictions. . Mathematical Concepts for AI & ML: explore areas like calculus, linear algebra, and probability, AI & ML Concepts, and Algorithms. .

Machine Learning 40

Machine Learning Education Computer Science Python 40

ProjectPro

OCTOBER 28, 2021

If you think machine learning methods may not be of use to you, we reckon you reconsider that because, in May 2021, Gartner has revealed that about 70% of organisations will shift their focus from big to small and wide data by 2025. Those functions have been optimised already, so you don’t need to go in depth of the algorithms.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

AUGUST 5, 2021

dollars by 2025. Candidates are aware of the keyword matching algorithm, and many of them insert as many keywords as possible into their resumes to get shortlisted by the company. Then, you can build a clustering algorithm that groups closely related words and skills that a candidate should possess in each domain.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

FEBRUARY 11, 2021

The World Economic Forum reported that AI, Machine Learning, and automation will power the creation of 97 million new jobs by 2025. According to LinkedIn as of November 29th, there are over 230K jobs worldwide that list machine learning as a required skill, and over 118K in the U.S. The job of a data scientist is exploratory.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

JULY 26, 2021

Some of the largest conglomerates like Uber, Airbnb, NVIDIA, Intel, and, quite naturally, Google use TensorFlow, consequently making using it a skill that is increasingly finding its way into job requirements for most of the data related job roles be it - data scientists, deep learning engineers, machine learning engineers , or AI engineers.

Project 40

Project Deep Learning Medical Datasets 40

Knowledge Hut

APRIL 20, 2023

It is expected to increase by 11% in 2023 and 20% in 2025. Career Cybersecurity specialists are in high demand across businesses, with cybersecurity being an ever-growing industry. Data science professionals are in high demand in areas such as banking, healthcare, and e-commerce.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

MAY 2, 2017

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. Forbes.com, April 3, 2017. thehindu.com, April 15, 2017.

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52

ProjectPro

FEBRUARY 1, 2022

As per the below statistics, worldwide data is expected to reach 181 zettabytes by 2025 Source: statists 2021 “Data is the new oil. Since this is a classification problem, I will check the prediction using the Decision trees and Random forest as this algorithm tends to do better for classification problems.

Data Science 52

Data Science Datasets Banking Machine Learning 52

Knowledge Hut

DECEMBER 26, 2023

Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. Data Modeling using multiple algorithms. What is the difference between Supervised and Unsupervised Learning? What is Data Science?

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

ProjectPro

JULY 17, 2021

Artificial Intelligence (AI) market will be worth 190 Billion USD by 2025. The job of an AI Engineer comes with many responsibilities, including data preparation , AI programming, algorithm design, data analytics, and a lot more. Machine Learning is one of the most important technologies in AI.

Engineering 40

Engineering Machine Learning Data Science Algorithm 40