Turing Award For Pixar, Open Sourcing Of EfficientNet Lite And More: Latest in AI

Regardless of what is happening around the world, the AI community are one productive bunch, and they have something interesting to share almost every day. So, here’s a compilation of all the important releases for the ML developers from top…

Hot AI Announcements From Last Week

AI is one of the most happening domains in the world right now. It would take a lifetime to skim through all the machine learning research papers released till date. As the AI keeps itself in the news through new…

What Happens When A Java Developer Switches To A Data Science Role

Does democratisation of machine learning work for everyone or is there a flip side to it? What do the developers with no machine learning background think about it?  Ever since AI-based jobs have been crowned the hottest job of this…

How To Use TensorFlow For ML Fairness

The whole talk about machine learning fairness is finally entering the realms of practice as companies like Google are racing up to establish an ecosystem of fairer ML practice through their tools. Be it a What-if tool or Fairness Gym…

Top 11 Tools For Distributed Machine Learning

There are two fundamentally different and complementary ways of accelerating machine learning workloads:  By vertical scaling or scaling-up, where one adds more resources to a single machine  Or  2. By horizontal scaling or scaling-out, where one adds more nodes to…

How Developers Can Benefit From Intel’s Optimization Of TensorFlow

Abstraction is a common trait amongst the now widely used machine learning libraries or frameworks. Dusting off the nitty-gritty details under the rug and concentrating on implementing algorithms with more ease is what any data scientist would like to get…

Hyperparameter Tuning With TensorBoard In 6 Steps

Visualization helps us understand big data with ease. It helps us identify patterns and get deeper insights or at least make the process easier. In the machine learning and data science spectrum, we often emphasise the importance of visualisations. Visualisations…

TensorFlow Enterprise Announced; What Does It Mean For Google Cloud

Enterprises of the previous decade have transformed from transactional to digital. Today, digital enterprises use machine learning pipelines with humans-in-loop. However, the enterprises of tomorrow will be aiming for end-to-end AI-driven core business solutions, or intelligent enterprises. To address these…

11 Alternatives To Keras For Deep Learning Enthusiasts

Keras, one of the most popular frameworks in deep learning, is a high-level neural network library which runs on top of TensorFlow, CNTK and Theano. Written in Python, this framework allows for easy and fast prototyping as well as running…

Everything You Need To Know About TensorFlow 2.0 To Write Your First ML Programme

Recently the machine learning world was presented with a better version of a framework that was wildly popular but was criticised for it complex APIs, messy collection of packages (most of which were deprecated) and loose debugging capabilities.  TensorFlow 2.0…

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