Google Cloud Challenge, Dark Mode Is Loved By All, Microsoft Eats Open AI and Much More

Hello MachineHackers,

I sincerely wish all MachineHackers are sticking to their New Year’s Resolutions and are not losing hope. Talking of hope, we had a data scientist from the community last week who had a model training for 36 hours after which his machine failed. For data scientists like our dear friend and our whole community we have something special lined up.

Highlights From MachineHack Universe

At MachineHack, we are happy to report that we are doing well on our new year promises. As promised last week, MachineHack has an?awesome dark mode now. Login and check out now. Right from our partners, to internal evaluators to early users are absolutely loving the experience and we are more than happy to see the positive response. Just to be sure, you can always go back to light mode by clicking on the change mode button in the right hand corner.?

As you know, we are super excited to be a part of the Machine Learning Developer Summit this year. To meet MachineHack at MLDS 2023,?buy tickets here.?At MLDS, we are planning amazing activities and here is a sneak peek:

• MachineHack Bingo Tour Competition
• MachineHack ML Code Monkey Competition
• MachineHack Master Blogger Contest
• Special MLDS Discount: Annual MachineHack Premium Plan for Rs.9999/-
• Special MachineHack session at MLDS.

To know more about these competitions and win crazy competitions, meet us at MLDS.?

As discussed last week, we have a working version of a new anti-cheating measure for ML competitions. You will see it in action in a competition we will be doing with a legendary institution.?

Talking about legendary institutions, breaking the suspense for everyone. MachineHack is collaborating with Google Cloud for one of a kind competition. Get ready to solve a challenging DS problem?using BigQuery and Colab.?

For this Hackathon, you will be working on obfuscated and anonymized real-world data (~ 4.2 million records) from an e-commerce website to build a model that can predict customers' Long Term Value (LTV). This challenge has all the exciting elements of complex data engineering, preprocessing, model building, and different programming languages (SQL & Python) that simulate real-world problem-solving. The dataset is a public fork of the BigQuery Ga4 Public Datasets, customized for the hackathon.?

To participate:?CLICK HERE

We also have a lot of winners on MachineHack this week. We announced winners for the following hackathons:

1. ?Subscriber Prediction Talent Search Hackathon
2. The Ultimate Samur-AI Writer Blog-A-Thon
3. Analytics Olympiad 2022

Congratulations to all the winners and we will be also welcoming a lot of winners to MLDS as special guests of MachineHack.

Future Tease Updates

For 2023, we are firm on our mission to become an aspirational place for data scientists, so we are deep in work to deliver you:

1. A whole new MachineHack profile design and experience.
2. A whole new MachineHack Leaderboard design and experience.
3. More incentives for developers to become prolific and become a better version of themselves.?

Singularity Updates

As we go deep into the daily workings of MachineHack and our lives, we should not lose sight of the big picture. So here are some updates that remind us of the upcoming Singularity.?

1. Prominent Ex-Gogglers and founders of new search Neeva draw a new impressive market map for the next wave of AI companies. [Link here]
2. This Decision Transformer Paper is CRAZYYYYYY. The consequences are immense and only left to one’s imaginations. [Link here]
3. Microsoft’s Cloud Game is beyond everyone’s guess. [Link here]
4. Microsoft is eating Open AI but also maybe not. [Link here]
5. A course on prompt engineering is here. Rather simple, still well thought out! [Link here]