ProjectPro

JUNE 6, 2025

The exciting add-on to this one of the most simple computer vision machine learning projects is that you can also use it to detect a face in a video using the classifier for each frame. In 2017, Apple Inc. It would be best to create this system as it is one of the most common computer vision projects for beginners. gray = cv2.cvtColor(img,

Project 66

Project Deep Learning Datasets Algorithm 66

ProjectPro

JANUARY 2, 2018

News on Hadoop - December 2017 Apache Impala gets top-level status as open source Hadoop tool.TechTarget.com, December 1, 2017. CXOToday.com, December 4, 2017. Datanami.com, December 5, 2017. and is all set to release it by mid of December 2017 leaving out any unforeseen occurrences. Source : [link] ) Hadoop 3.0

Hadoop 52

Hadoop Big Data Machine Learning Data Lake 52

ProjectPro

JUNE 6, 2025

Python Fundamentals for Data Science Python Libraries for Data Science Your 101 Guide on How to Learn Python for Data Science Python Projects for Data Science by ProjectPro FAQs on How to Learn Python for Data Science Why learn Python for Data Science? The dataset will be loaded and analyzed using the Pandas library.

Data Science 52

Data Science Python Programming Language Deep Learning 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. Forbes.com, April 3, 2017. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. April 5, 2017.

Hadoop 52

Hadoop Entertainment Data Lake Banking 52

ProjectPro

JUNE 6, 2025

To help accelerate the application development process and enable more efficient and effective practical usage, developers rely on AI open-source projects to build superior deep learning-based solutions. TensorFlow TensorFlow is the leading AI open-source project for deep learning.

Project 53

Project Deep Learning Machine Learning Algorithm 53

ProjectPro

JUNE 6, 2025

According to the website comakeit, the big data and data engineering services market is estimated to grow from 18% per annum in 2017 to 31% p.a. Learn to Interact with the DBMS Systems Many companies keep their data warehouses far from the stations where data can be accessed. Structured Query Language or SQL (A MUST!!):

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Discover how Mixture of Experts (MoE) models use both the gating network and expert networks to dynamically route inputs, improving efficiency and scalability in modern deep learning architectures. This approach laid the foundation for ensemble learning techniques in neural networks. Curious yet?

Project 40

Project Deep Learning Architecture Consulting 40

ProjectPro

JUNE 6, 2025

So, the goal is to use phase-contrast microscopy images and detect the neuronal cells with a high level of accuracy through deep learning algorithms. This challenge is about implementing deep learning object detection models over the thousands of images collected by the underwater camera.

Data Science 40

Data Science Medical Machine Learning Retail 40

ProjectPro

JUNE 6, 2025

BERT Transformer Architecture T5 Transformer Architecture in NLP Swin Transformer Architecture in NLP Vision Transformer Architecture in NLP Applications of Transformer Architecture Advantages of Transformer Architecture in Deep Learning Limitations of Transformer Architecture NLP What's Next For The Transformer Model Architecture?

Machine Learning 40

Machine Learning Architecture Deep Learning Datasets 40

ProjectPro

JUNE 6, 2025

Managed Services The Evolution of AI: From Symbolic AI to Machine Learning to LLMs The era known as "Good Old-Fashioned AI" (GOFAI) spanned from the 1950s to around 1990. Symbolic AI, which relied on logical deduction and rule-based systems, was the primary focus during this period.

Insurance 52

Insurance Algorithm Machine Learning Deep Learning 52

ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

Deep Learning 40

Deep Learning Machine Learning Algorithm Healthcare 40

ProjectPro

JUNE 6, 2025

We already know how powerful Neural Networks , and Deep Learning in general, can be in addressing computer vision-related tasks in machine learning. The importance of data for deep learning cannot be emphasized enough. But how does a siamese network learn from such a small set of samples?

Architecture 40

Architecture Deep Learning Datasets Machine Learning 40

Zalando Engineering

OCTOBER 18, 2017

Zalando Flies the Fashion Flag at RecSys 2017 RecSys, the annual ACM Recommender Systems Conference held its 11th session this year in the gorgeous city of Como, Italy. Instead, most technical problems usually arise from operational constraints, such as cost and complexity of system maintenance.

Systems 40

Systems Deep Learning Algorithm Architecture 40

ProjectPro

JUNE 6, 2025

Instagram switched to Python as its primary programming language in 2017 and is using it ever since. Some of which are: Deeplearning4J: It is an open-source framework written for the JVM which provides a toolkit for working with deep learning algorithms. Python is used heavily in the backend to process the data.

Java 53

Java Data Science Python Programming Language 53

Knowledge Hut

MAY 2, 2024

Machine learning is a segment of artificial intelligence. It is designed to make computers learn by themselves and perform operations without human intervention, when they are exposed to new data. 1996: Machine beats man in a game of chess IBM developed its own computer called Deep Blue, that can think. How do machines learn?

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

AltexSoft

OCTOBER 13, 2022

In the travel industry, generative AI can provide a big help for face identification and verification systems at airports by creating a front-on picture of a passenger from photos previously taken from different angles and vice versa. Source: Progressive Growing of GANs for Improved Quality, Stability, and Variation, 2017.

Algorithm 90

Algorithm Deep Learning Machine Learning Datasets 90

ProjectPro

JUNE 6, 2025

billion in 2017 and is likely to reach $67.82 In turn, big data analytics effectively improves health systems and the overall quality of patient treatment. Having a know-how of ETL processes helps transfer patient records data from one system to another. The global data analytics market was worth i$16.87

Healthcare 49

Healthcare Medical Electronics Hospitality 49

ProjectPro

JUNE 6, 2025

LLMs, the brainchild of significant advancements in AI research, notably the introduction of the attention mechanism in 2014 and the revolutionary Transformer model in 2017, have taken the world by storm. The game-changer arrived in 2017 with Vaswani et al.'s FAQs What are Large Language Models? It didn't work like the old RNNs.

Deep Learning 40

Deep Learning Medical Architecture Datasets 40

Knowledge Hut

DECEMBER 26, 2023

They are required to have deep knowledge of distributed systems and computer science. Building data systems and pipelines Data pipelines refer to the design systems used to capture, clean, transform and route data to different destination systems, which data scientists can later use to analyze and gain information.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

Pinterest Engineering

MARCH 5, 2024

Personalized recommendation is critical in the ads recommendation system because it can better capture users’ interests, connect the users with the compelling products, and keep them engaged with the platform. Model Stability: Resilient Batch Norm Improving the stability and training speed of deep learning models is a crucial task.

Machine Learning 90

Machine Learning Deep Learning Architecture Data Mining 90

ProjectPro

JUNE 6, 2025

Large language models , such as OpenAI's GPT (Generative Pre-trained Transformer) series, are based on the Transformer framework, which originated in 2017 at Google. As we explore the architecture of LLM applications , we'll follow Lily's journey and dissect the components and tools needed to build such a system.

Architecture 40

Architecture Deep Learning Data Science Technology 40

Edureka

FEBRUARY 15, 2023

The well-known DALLE deep learning model from OpenAI, which creates images from text prompts, is well-known. LAMDA, like ChatGPT, is based on Transformer, a neural network architecture created by Google Research and made available for use in 2017. The for-profit OpenAI LP is a subsidiary of OpenAI Inc., a nonprofit organisation.

Deep Learning 52

Deep Learning Insurance Banking Finance 52

ProjectPro

JUNE 6, 2025

This proactive approach improves operational efficiency and enhances IT systems' reliability and performance. At its core, AIOps aims to automate and optimize IT operations by leveraging AI techniques to analyze and interpret vast amounts of data generated by various IT systems and applications. billion in 2017 to USD 11.02

Machine Learning 40

Machine Learning Algorithm Big Data Utilities 40

ProjectPro

JULY 3, 2018

RightShip has been successful in removing more than 1000 high risk vessels from customer supply chains in 2017. The rating system gives one star rating to ships that are likely to experience an incident in the next year and a five star rating to ships which are least likely to do so. new cloud partnerships announced.

Hadoop 52

Hadoop Big Data Government Data Mining 52

ProjectPro

FEBRUARY 1, 2018

(Source : [link] 6 Key Future Prospects of Big Data Analytics in Healthcare Market for Forecast Period 2017 - 2026. According to a report collated by Fact.MR , the big data analytics in healthcare market is expected to see an annual double digit CAGR through 2017-2026. Globalnewswire.com, January 5, 2018.

Hadoop 52

Hadoop Food Healthcare Cloud Computing 52

ProjectPro

SEPTEMBER 27, 2021

OpenCV Project Idea # Selfie Capture System If you are looking for easy OpenCV projects that are fun to implement, we highly recommend working on this project. ’s method of colouring images using a deep learning algorithm. The idea is to make a fruit detection system, but that’s not all to it.

Project 52

Project Deep Learning Food Algorithm 52

ProjectPro

JUNE 6, 2025

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 45

Project Python Algorithm AWS 45

ProjectPro

NOVEMBER 16, 2021

To help accelerate the application development process and enable more efficient and effective practical usage, developers rely on open-source AI projects to build superior deep learning-based solutions. TensorFlow TensorFlow is the leading open-source AI project for deep learning. TensorFlow 2. Detectron2 5.

Project 52

Project Deep Learning Machine Learning Algorithm 52

ProjectPro

FEBRUARY 8, 2017

2017 will see a continuation of these big data trends as technology becomes smarter with the implementation of deep learning and AI by many organizations. Here’s a sneak-peak into what big data leaders and CIO’s predict on the emerging big data trends for 2017.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

U-Next

SEPTEMBER 29, 2022

If you are just starting out in Machine Learning, Scikit-learn is a more-than-adequate tool until you start implementing increasingly complex calculations. . You are likely to have learned about, attempted, or executed deep learning calculations if you have worked in AI. Tensorflow . It’s not constant.

Management 52

Management Machine Learning Deep Learning Algorithm 52

ProjectPro

JUNE 6, 2025

Between 2017 and 2023, the global sentiment analysis market will increase by a CAGR of 14%. Consistent criteria: A centralized sentiment analysis system can improve accuracy and deliver better insights since tagging text by sentiment is highly subjective, influenced by personal experiences, thoughts, and beliefs.

Coding 40

Coding Project Entertainment Datasets 40

ProjectPro

JANUARY 19, 2022

Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale. In 2017, Gartner predicted that 85%of the data-based projects would fail and deliver the desired results. Ability to demonstrate expertise in database management systems. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

JUNE 6, 2025

Machine learning models can process large amounts of historical data, identify patterns in customer behavior, and optimize inventory levels, reducing waste and improving supply chain performance. Using data analysis , you can build an advanced demand forecasting system that minimizes stockouts and overstock situations.

Data Science 40

Data Science Project Management Transportation 40

ProjectPro

DECEMBER 17, 2021

So, the goal is to use phase-contrast microscopy images and detect the neuronal cells with a high level of accuracy through deep learning algorithms. This challenge is about implementing deep learning object detection models over the thousands of images collected by the underwater camera.

Data Science 52

Data Science Medical Machine Learning Retail 52

Zalando Engineering

SEPTEMBER 26, 2017

2017] ) papers at world-class machine learning conferences, and the source code ( SGAN and PSGAN ) to reproduce the research is also available on GitHub. State-of-the-art in Machine Learning It’s all over town. Machine learning, and in particular deep learning, is the new black. 2016] and [Bergmann et al.

Deep Learning 40

Deep Learning Machine Learning Datasets Algorithm 40

Knowledge Hut

JANUARY 3, 2024

Simply put, Generative AI can be described as a branch of Artificial Intelligence that primarily focuses on creating AI systems capable of generating content that shares similar characteristics with human creativity. I’ll share a few examples to help you learn some of these revolutionary players in this realm.

Healthcare 52

Healthcare Finance Food Manufacturing 52

Knowledge Hut

JUNE 20, 2023

Theano It is an open-source Python library for deep learning in neural processing and data science. The feature makes Theano outpace the competitors by escalating the information quicker through the system’s GPU rather than running through the CPU alone. Auto ML It is a Google product introduced in 2017.

Deep Learning 52

Deep Learning Data Science Raw Data Python 52