While jobs may be few and far between amid the ongoing economic downturn, some companies have leveled up their hiring to fill various positions in emerging technologies.

Top of this list is computer vision, which has emerged as one of the most promising technologies today.

Triggered by newer applications amid the Covid-19 pandemic, the potential of this technology has expanded within a very short space of time. This has given rise to numerous virtual conferences in recent times that explore the depth and breadth of this technology. To be held on August 13 and 14, Computer Vision DEVCON is one such conference that brings together practitioners and enthusiasts of computer vision on one platform.

As AI adoption increases across industries, new job roles are being created to actualize this technology. A

report by Indeed indicates that AI and ML related jobs increased almost a hundredfold between 2015 and 2018.

Other newer roles will certainly come up in the future as the field grows and matures.

Here’s a great compilation of resources to help you get started in this field.

You are probably already using AI without even knowing it! You must have scrolled through the recommended products while shopping from any online shopping site, or used Google, Alexa, or Siri voice assistants, or in fact, watched a suggested movie on Netflix. As such, you are already part of […]

This unprecedented lockdown is an opportunity to really dig in and work on data science projects. A lot of folks suddenly have time on their hands which they did not see coming.

Why not utilize this time and work on grooming yourself for your dream data science role?

Overview The ideal time to work on your data science portfolio with these open source projects From datasets on COVID-19 to a collection of AutoML libraries by Google Brain, there’s a lot of data science projects to learn from Introduction We are living in the midst of an unprecedented […]

Deep learning can be a complex and daunting field for newcomers.

Concepts like hidden layers, convolutional neural networks, backpropagation keep coming up as you try to grasp deep learning topics. Most people are put off of the math alone.

Despite what you have been led to believe, you don’t need an advanced degree or a Ph.D. to learn and master deep learning.

There are certain key concepts you should know (and be well versed in) before you plunge too far into the deep learning world.

The five essentials for starting your deep learning journey are:

  1. Getting your system ready
  2. Python programming
  3. Linear Algebra and Calculus
  4. Probability and Statistics
  5. Key Machine Learning Concepts

While the demand for data science skills continues to rise, the specific skillsets around that demand has remained fairly consistent, according to a Jeff Hale analysis.

TL;DR: You can’t go wrong by learning Python.

Given how fast technologies in the data science space seem to rise and fall (remember Hadoop?), even over the course of a year we might expect to see more variance in technology preferences. Instead we find a (somewhat) remarkable stasis, one that continues to remind us: It’s never a bad time to learn Python.

While the report referenced in the article below specifically calls out the job market in India, I believe the core insights will apply globally, specifically the top 15 emerging jobs for 2020.

Moreover, a McKinsey report has also predicted that the technology sector will sustain up to 65 million jobs and deliver $1 trillion in economic value to the Indian economy by 2025. However, in the coming years, there will also be an increasing demand for professionals with good managerial skills to support tech businesses.