MLDS 2022 is just 2 days away.
Machine Learning Developers Summit is our flagship developers conference and is scheduled for 19-20th Jan, virtually.
MLDS 2022, powered by Fractal, will see more than 50 industry experts come in for in-depth talks, workshops, paper presentations etc.
We are also running a hackathon and 1-o-1 mentoring sessions for our attendees.
Top Data Science & AI Trends For 2022
The annual data science and AI trends report by Analytics India Magazine aims to highlight the top trends that will define the industry each year.
Overall, organisations invested more in Data Science, and there was an upswing in the Data Science jobs. While the median salaries of analytics professionals saw a slight decline at the start of the year, a rising trend was witnessed again in the recent months, which will continue to be the case in the coming year.
The operationalisation and scaling of Machine Learning models through structured frameworks was the talk of 2021.
PyTorch’s cult following
University of Geneva professor Francois Fleuret held a poll on Twitter earlier this month and asked developers to vote for their main framework and 72% voted for PyTorch.
The popularity of PyTorch exploded just three years into its launch: The open-source ML library logged a user growth of 194% in the first half of 2019. PyTorch hasn’t looked back since.
These articles are written by members of the AIM Leaders Council. AIM Leaders Council is an invitation-only forum of senior executives in the Data Science and Analytics industry. To check if you are eligible for a membership, please fill the form here.
+ Designing hackathons to encourage problem-solving in AI/ML by Kaushik Sanyal
+ Building an infrastructure to meet the requirements of Software 2.0 in India by Vishal Dhupar
+ Measuring the success of an AI engagement by Swati Jain
+ Ensuring successful scaling-up strategy for your analytics product by Anirban Nandi
+ The big data myth in deep learning by Padmakumar Nambiar
How data is changing the classical way of scientific theorisation
The classical theory of problem-solving studies activities characteristic to science through the processes of systematic observation, reasoning, prediction, formation and testing of hypotheses. These are the very measures that have long differentiated scientific activities from non-science.
Moreover, scientists have been trained to differentiate between correlation and causation, that one must find a cause-effect relationship to understand and accept a correlation. But with the advent of humungous data, machine learning and black-box models, we are shifting to mere correlations.
Hands-on Guides for ML Developers
People & Startups
Apple hasn’t fallen for the metaverse hype
According to investors and analysts, the excitement around Apple’s involvement in the metaverse has been a significant factor in the uptick in its share price, making the Cupertino-tech giant the first company to hit a market cap of $3 trillion earlier this month.
However, Apple is keeping a safe distance from the metaverse hype and is bullish on augmented reality.
DeepMind’s language model RETRO proves bigger is not always better
Large language models are all the rage now, especially after the launch of Gpt-3. Ever since AI powerhouses have come up with bigger and more sophisticated language models to push the frontiers of the NLP game.
Now, DeepMind has proposed a smaller and less expensive language model, dubbed RETRO, with an aim to address the shortcomings of large language models.
BOTTOM OF THE NEWS
Here's what all happened last week.