- Tips & Tricks of Deploying Deep Learning Webapp on Heroku Cloud - Dec 24, 2021.
Learn model deployment issues and solutions on deploying a TensorFlow-based image classifier Streamlit app on a Heroku server.
Applications, Docker, DVC, GitHub, Heroku, Streamlit, TensorFlow
- How to Dockerize Any Machine Learning Application - Apr 6, 2021.
How can you -- an awesome Data Scientist -- also be known as an awesome software engineer? Docker. And these 3 simple steps to use it for your solutions over and over again.
Advice, Applications, Containers, Deployment, Docker, Machine Learning
- Applications of Data Science and Business Analytics - Dec 15, 2020.
In recent times, a large number of businesses have begun realising the potential of Data Science. Business analytics and data science applications are far and wide. So let us have a look at them in detail.
Applications, Business, Data Science, Genomics, Great Learning, Search, Virtual Assistant
- Performance Testing on Big Data Applications - Aug 21, 2020.
You can use performance testing in any application you’re working on but it’s especially useful for big data applications. Let’s see why.
Applications, Big Data, Performance
- The Most Useful Machine Learning Tools of 2020 - Mar 13, 2020.
This articles outlines 5 sets of tools every lazy full-stack data scientist should use.
Applications, GitHub, Machine Learning, Postgres, PyCharm, Tools
- Deep Neural Networks - Feb 14, 2020.
We examine the features and applications of a deep neural network.
Applications, Deep Learning, Neural Networks, Robots
- Word Embeddings in NLP and its Applications - Feb 20, 2019.
Word embeddings such as Word2Vec is a key AI method that bridges the human understanding of language to that of a machine and is essential to solving many NLP problems. Here we discuss applications of Word2Vec to Survey responses, comment analysis, recommendation engines, and more.
Applications, NLP, Recommender Systems, Word Embeddings, word2vec
- Latest Trends in Computer Vision Technology and Applications - Nov 7, 2018.
We investigate the advancements in deep learning, the rise of edge computing, object recognition with point cloud, VR and AR enhanced merged reality, semantic instance segmentation and more.
Applications, Computer Vision, InData Labs, Trends
- Onboarding Your Machine Learning Program - Apr 12, 2018.
Machine Learning's popularity is continuing to grow and has engraved itself in pretty much every industry. This article contains lessons from a data scientist on how to unlock it's full potential.
Advice, Applications, Cats, Industry, Machine Learning
Introduction to Neural Networks, Advantages and Applications - Jul 25, 2017.
Artificial Neural Network (ANN) algorithm mimic the human brain to process information. Here we explain how human brain and ANN works.
Pages: 1 2
Applications, Beginners, Brain, Neural Networks
- The Data Science of Steel, or Data Factory to Help Steel Factory - Apr 25, 2017.
Applying Machine Learning to steel production is really hard! Here are some lessons from Yandex researchers on how to balance the need for findings to be accurate, useful, and understandable at the same time.
Applications, Recommendation Engine, Regression, Russia, Steel, Yandex
- 5 Reasons Machine Learning Applications Need a Better Lambda Architecture - Jun 2, 2016.
The Lambda Architecture enables a continuous processing of real-time data. It is a painful process that gets the job done, but at a great cost. Here is a simplified solution called as Lambda-R (ƛ-R) for the Relational Lambda.
Applications, Lambda Architecture, Machine Learning, Monte Zweben, Splice Machine
- Containers: The Enabler of YARN - Jul 28, 2014.
The evolution of a data-center operating system is discussed along with the underlying challenges and approaches being followed. Containers play a big role in enabling the required abstraction and deliver additional benefits.
Altiscale, Applications, Containers, Docker, Hadoop, MapReduce, Mesos, Virtualization, YARN
