BA Careers

FEBRUARY 9, 2024

TensorFlow: … Continue reading "Exploring the Most Important AI Tools Shaping Our Future" The post Exploring the Most Important AI Tools Shaping Our Future appeared first on BACareers, The Business Analyst Blog. Behind the scenes of this AI revolution are powerful tools that drive innovation and enable groundbreaking developments.

Artificial Intelligence 98

Artificial Intelligence Innovation Documentation Business Analysis 98

GAVS Technology

MARCH 12, 2024

ML Model After extensive exploration of suitable models for the project, the following options were considered: Google Speech Commands model based on TensorFlow CNN, which was finalized. This is a follow up blog with further updates on this project. wav2vec2-xlsr-marathi model is only about 2GB but it did not meet quality requirements.

Digital 52

Digital Predictive Analytics Visualization Digital Transformation 52

Smart Data Collective

JULY 19, 2019

By crunching down big data into analyzable numbers and patterns, predictive analytics tools like TensorFlow and Infosys Nia reveal real-time insights about what does and doesn’t work for website visitors and prospective customers.

Artificial Intelligence 210

Artificial Intelligence User Experience Big Data Predictive Analytics 210

Whizlabs

APRIL 14, 2021

Transformations (TensorFlow Transform). Common training and serving errors (TensorFlow). Monitoring/changing deployed pipelines. Build data pipelines. Considerations include: Data validation. Handling missing data. Handling outliers. Managing large samples (TFRecords). Feature engineering. Encoding structured data types.

Monitoring 52

Monitoring Data Quality Visualization Data Management 52

Roman Pichler

AUGUST 9, 2017

If you manage a digital product that end users employ, such as a web or mobile app, then you usually do not require in-depth technical skills, such as, being able to program in Java, write SQL code, or know which machine learning framework there are and if, say, TensorFlow is the right choice for your product.

UML 75

UML Artificial Intelligence Product Management Product Management 75

Actian

JUNE 13, 2019

Business Analysts – These are the business users with data-intensive job roles, such as finance, operations planning, HR and administration.

Skillset 40

Skillset Finance Data Management Data Quality 40

Cprime

MAY 7, 2021

Most machine learning engineers use Python because it offers popular machine learning packages such as NumPy, Pandas , and TensorFlow. Furthermore, it’s fundamental that you understand data structures and algorithms. Low-code Developer. The low-code development trend has picked up steam in 2021. But what is it?

Data Visualization 52

Data Visualization Visualization Big Data Product Management 52

Sisense

APRIL 10, 2020

Deep Learning models use Keras and Tensorflow API, which are built in Python. As the amount of data in a dataset increases, many ML algorithms’ performance becomes stagnant, but Deep Learning performance improves with increases in data volume. However, an R interface for Keras is now available for programming in R.

Visualization 98

Visualization Artificial Intelligence Data Mining Logistics 98

Whizlabs

APRIL 4, 2021

Kinesis Video Streams also support the integration with libraries for ML frameworks such as TensorFlow, OpenCV, and Apache MxNet. . They can also help in building applications with the power of video analytics and computer vision by integrating Amazon Rekognition Video.

Real-time Data 64

Real-time Data Data Analytics Data Analytics Monitoring 64

BizAcuity

MARCH 31, 2022

But AI platforms like TensorFlow, MS Azure and Google AI allow large sets of data to be used for training, testing, developing and deploying AI applications and algorithms. Not to be confused with AI-driven platforms. AI-driven platforms are softwares that provide pre-developed modules for ease of use and fast insights to the business.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Smart Data Collective

OCTOBER 14, 2019

Ludwig is a TensorFlow-based toolbox that aims to allow people to use machine learning during their data work without having extensive prior knowledge. Some examples of the projects you could undertake with help from Ludwig include text or image classification, machine-based language translation and sentiment analysis.

Big Data 168

Big Data Visualization Business Intelligence Business Intelligence 168

Inflexion Analytics

AUGUST 24, 2020

Databricks supports several languages such as Java, Python, Scala, SQL, as well as libraries such as PyTorch and TensorFlow. It also supports open-source frameworks and languages like MLFlow, Kubeflow, PyTorch, TensorFlow, Python and R. Azure Databricks is an analytical service tool based on Apache Spark. Azure Cognitive Services.

Data Warehouse 52

Data Warehouse Data Analytics Data Analytics Big Data 52

Sisense

AUGUST 9, 2021

PB: Key features include SQL to charts, SQL to Python/R to charts, materialization, version control for charts and source code, advanced library management allowing custom Python packages such as Boto, SeaHorn, scikit, and TensorFlow, among others, to be imported.

Data Security 52

Data Security Data Warehouse Product Management Product Management 52

Actian

JUNE 11, 2019

For example, in addition to the data sets referenced above, data scientists tend to spend much time preparing data and hand-coding algorithms or using libraries for AI and ML, such as TensorFlow. Conversely, business analysts are more inclined to leverage SQL for reporting and popular BI and Visualization tools on those queried datasets.

Finance 40

Finance Data Management Visualization Planning 40

Tableau

NOVEMBER 30, 2021

Tensorflow and PyTorch help to greatly simplify the practice of training and deploying machine learning algorithms. However, improved hardware and machine learning algorithms are demonstrating that data users need tools that both show them things while also enhancing and supporting their learning. Why does open source matter? .

Artificial Intelligence 97

Artificial Intelligence Visualization Data Visualization Innovation 97

Tableau

NOVEMBER 29, 2021

Tensorflow and PyTorch help to greatly simplify the practice of training and deploying machine learning algorithms. However, improved hardware and machine learning algorithms are demonstrating that data users need tools that both show them things while also enhancing and supporting their learning. Why does open source matter? .

Artificial Intelligence 93

Artificial Intelligence Visualization Data Visualization Innovation 93