ProjectPro

DECEMBER 17, 2021

By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales. 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 Datasets 52

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

SEPTEMBER 27, 2021

Solution Approach: For arriving at the solution of this project, you can work with the ImageNet Dataset. ’s method of colouring images using a deep learning algorithm. Solution Approach: Creating such an application will require you to first train a deep learning algorithm like YOLOv4 with the images of different fruits.

Project 52

Project Deep Learning Algorithm Food 52

Knowledge Hut

JUNE 20, 2023

Theano It is an open-source Python library for deep learning in neural processing and data science. With this tool, the creation and distribution of the networks get sorted, and you can conveniently handle larger datasets. Caffe This highly efficient AI tool is a deep learning framework that can switch between the GPU and CPU.

Deep Learning 52

Deep Learning Data Science Python Raw Data 52

AltexSoft

AUGUST 18, 2021

Though it’s impossible to cover every external eventuality — say, nothing foreboded the coronavirus pandemic in the middle of 2019th — we still can predict quite a lot, using the right data and advanced machine learning (ML) models. Preparing airfare datasets. Public datasets. Flight dataset structure.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

Edureka

JULY 16, 2024

SageMaker was launched by AWS in November 2017; it seeks to provide ML services to anyone, irrespective of their background in computer science and signal processing. It removes the issues related to the machine learning pipeline and provides an integrated setup for comprehensive model creation.

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

AltexSoft

NOVEMBER 15, 2022

To determine when occupancy will be higher and when lower and what prices should be considered for a given period, you can take advantage of machine learning powered by data. Dataset preparation and construction. The starting point of any machine learning task is data. Public datasets. Occupancy rate dataset structure.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

ProjectPro

NOVEMBER 17, 2021

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. Between 2017 and 2023, the global sentiment analysis market will increase by a CAGR of 14%. billion by the year 2027.

Coding 52

Coding Project Entertainment Datasets 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

AltexSoft

JANUARY 18, 2023

They are mainly trained using a large dataset of text, such as a collection of books or articles. Models then use the patterns they learn from this training data to predict the next word in a sentence or generate new text that is grammatically correct and semantically coherent. Transformers. Question Answering.

Datasets 64

Datasets Architecture Deep Learning SQL 64

ProjectPro

MARCH 29, 2021

‘Man and machine together can be better than the human’ All thanks to deep learning frameworks like PyTorch, Tensorflow, Keras, Caffe, and DeepLearning4j for making machines learn like humans with special brain-like architectures known as Neural Networks.

Deep Learning 40

Deep Learning Machine Learning Programming Language Python 40

ProjectPro

JANUARY 24, 2023

Deep Dive into Amazon SageMaker Architecture The below architecture includes an Amazon S3 bucket that contains a processed dataset and an Amazon SageMaker training job to train on the dataset and create a predictive model. Batch transform – If predictions are required for an entire dataset.

Building 52

Building Algorithm Machine Learning AWS 52

ProjectPro

JUNE 18, 2021

Instagram switched to Python as its primary programming language in 2017 and is using it ever since. Pandas allow cleaning of messy datasets enabling them to be more readable and relevant. PySpark allows one to interface with Resilient Distributed Datasets (RDD’s) in Apache Spark and the Python programming language.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

JULY 23, 2021

AWS generated revenue of $18 Billion in 2017, and the figure has been aggressively rising since then. With Amazon Polly, you can use advanced deep learning technologies to carry out accurate conversions. This dataset is now a valuable asset for machine learning, Natural language processing, and deep learning applications.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

DECEMBER 22, 2016

Data Profiling, also referred to as Data Archeology is the process of assessing the data values in a given dataset for uniqueness, consistency and logic. Data Mining refers to the analysis of datasets to find relationships that have not been discovered earlier. How to save and reload a deep learning model in Pytorch?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

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

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. They analyze datasets to find trends and patterns and report the results using visualization tools. What is the difference between Supervised and Unsupervised Learning? Data engineers can also create datasets using Python.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

ProjectPro

APRIL 1, 2017

News on Hadoop-March 2017 The cloud is disrupting Hadoop. Zdnet.com, March 6, 2017 Forrester estimates that organizations will spend $800 million in hadoop and its related services in 2017. Just like Hadoop is not designed for the cloud, it is not meant for doing matrix math that deep learning requires.

Hadoop 40

Hadoop Data Lake Electronics Big Data 40