Machine Learning and Data Science solutions - Make machines think and work for you.
We provide services across the machine learning and data science space. If it involves data, analysis, learning & computing, we do it.
Big data - Our knowledge of modern data engineering tools and data architectures such as Spark, Kafka, NiFi and Airflow enable our clients to capture and manage vast amounts of data in their organisations.
Machine Learning - We apply modern machine learning techniques such as XGBoost, TensorFlow and Scikit Learn to process and leverage the valuable data of our clients in order to maximize profits and reduce costs.
Cloud Services - We have extensive experience in modern cloud services, including AWS, Google Cloud and Microsoft Azure. Our clients benefit from the technological speed and agility made possible by cloud computing.
Our engineers and big data experts are ready to assist you. We help our clients build the complex data architectures, data pipelines and machine learning models to take their organisations to the next level.
Contact us today for an introduction to our services.
Company Details
- Employees
- 13
- Founded
- -
- Address
- Midrand, Johannesburg,gauteng,south Africa
- Phone
- 919-465-4403
- in****@****nes.com
- Industry
- It Services And It Consulting
- NAICS
-
Computer Systems Design and Related ServicesOther Computer Related Services
- Website
- learningmachines.co.za
- Keywords
- Artificial intelligence, machine learning, deep learning, data science, big data, cloud computing, data engineering, data architectures, application development, cloud services.
- HQ
- Johannesburg, Gauteng
Learning Machines Questions
Learning Machines's helpline number is 919-465-4403
Learning Machines's website is learningmachines.co.za
Learning Machines's LinkedIn profile is https://za.linkedin.com/company/learning-machines
Learning Machines has
13 employees.
View email and phone details for 13
employees at Learning Machines.
Learning Machines's industry is
IT Services and IT Consulting
Learning Machines's top competitors are
Origin Fintech,
Southern Turf Management Construction,
Hailer Technologies (Pty) Ltd,
Infovio,
Silicogenesis,
Dragonfruit Ai,
Standard Bank Group,
Modata,
Dataroots, A Talan Company,
Notto.
Learning Machines's support email address is info@learningmachines.com
Learning Machines's categories are IT Services and IT Consulting
Learning Machines's founding year is 2016
