Zalando Engineering

NOVEMBER 6, 2017

“Without machine learning, we could never keep up with the amount of fashion resources that are available.” - Ana Peleteiro Ramallo With her team, Ana has been shipping groundbreaking products in Deep Learning for Natural Language Processing (NLP) and Knowledge Extraction. Quality structured data is not easy to get in fashion.

Data Science 40

Data Science Deep Learning Media Unstructured Data 40

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. Table of Contents What is a dataset in machine learning? Why you need machine learning datasets? Where can I find datasets for machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

Cloudera

SEPTEMBER 12, 2018

. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. ADP has an unmatched dataset on the U.S. Societal Impact: .

Pharmaceutical 44

Pharmaceutical Banking Amazon Web Services Healthcare 44

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 Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

FEBRUARY 5, 2021

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. Table of Contents What is the MNIST dataset? Test the Trained Neural Network Visualizing the Test Results Ending Notes What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40

ProjectPro

OCTOBER 16, 2021

It contains codes to support the implementation of machine learning algorithms in Python. Not only that, but it also provides the option to effortlessly use various popular datasets like MNIST, California Housing, etc. Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

NOVEMBER 18, 2021

ii) Targetted marketing through Customer Segmentation With user data for enhancing personalized song recommendations, Spotify uses this massive dataset for targeted ad campaigns and personalized service recommendations for its users. Here is a Music Recommender System Project for you to start learning. million drivers.

Data Science 52

Data Science Project Food Pharmaceutical 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

U-Next

JANUARY 17, 2022

In the research paper, Diversity in Faces by IBM Research AI , the authors highlight that most computer vision training datasets are predominantly focused on light-skinned males. The datasets are also predominantly male. of Google employees are Black, as per its 2018 report ! Introduction to Deep Learning.

Manufacturing 98

Manufacturing Deep Learning Datasets Algorithm 98

ProjectPro

JANUARY 2, 2018

(Source : [link] ) 4 Big Data Trends To Watch In 2018. 2018 will see increased emergence of micro subscription models as tools like Cassandra, Apache Kafka make real time processing at scale possible with Google Tensor Flow and Python. CXOToday.com, December 4, 2017. Source : [link] ) Hadoop 3.0 Likely to Arrive Before Christmas.

Hadoop 52

Hadoop Big Data Datasets Machine Learning 52

Picnic Engineering

MAY 23, 2023

While more advanced techniques like deep learning models can improve performance through fine-tuning and optimization, this is more limited with traditional methods, and model accuracy will likely plateau earlier. However, there are some limitations to using traditional approaches.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

ProjectPro

DECEMBER 1, 2017

The existing instances will continue to be available on the Bluemix console as is from December 7, 2017 to November 7, 2018. IBM has requested all its users to delete their existing instances before November 7, 2018 and any instances that exists after that would be deleted. CXOtoday.com, November 22, 2017.

Hadoop 52

Hadoop Medical Unstructured Data Pharmaceutical 52

Knowledge Hut

FEBRUARY 7, 2023

Pros Easily manageable for deploying any project Good community support Manage libraries, dependencies, and environments with Conda Build and train ML and deep learning models with inbuilt libraries Cons It can be a bit bulky sometimes, slowing down and lagging while you are working on your code, especially when you are on a low-end system.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

AltexSoft

APRIL 27, 2023

Likewise, the immune system model takes information from various sources including public research papers, Pfizer’s clinical studies, omics datasets , and more. as well as make use of external medical datasets. The third componential part, event classifier, involves using machine learning to identify and classify events.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

U-Next

SEPTEMBER 9, 2022

Excluding outliers from the dataset is crucial since they frequently influence the model’s accuracy if left in the data set. Uber improved its customer service with BA – COTA (customer obsession ticket assistant), which was based on Machine Learning and Natural Language Processing and was developed by Uber in 2018.

Retail 40

Retail Big Data Data Analytics Utilities 40

AltexSoft

DECEMBER 15, 2021

The accuracy of the forecast depends not only on features but also on hyperparameters or internal settings that dictate how exactly your algorithm will learn on a specific dataset. Neural architecture search or NAS is a subset of hyperparameter tuning related to deep learning, which is based on neural networks.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Databand.ai

DECEMBER 20, 2022

Follow Olga on LinkedIn 13) Richmond Alake Machine Learning Architect at Slalom Build Richmond is Machine Learning Architect and a Machine Learning Content Creator. He’s written hundreds of blogs and tought multiple courses on computer vision and deep learning. He is also a member of The Apache Software Foundation.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52