Alectio

Helping ML teams build models with less data.

[Alectio @AlectioInc]

Top 5 Resources to Get Datasets for Your Data Science Projects:

1⃣ Google Cloud Public Datasets
2⃣ Amazon Web Services Open Data Registry
3⃣ Data .gov
4⃣ Kaggle
5⃣ UCI Machine Learning Repository

[Alectio @AlectioInc]

Myth 4️⃣: You need a PhD to be a machine learning engineer.

Truth -> While a PhD can be helpful in certain cases, it is not necessary to become an ML engineer.

However, you do need to know how to code in languages like Python, R, Java, and JavaScript.

[Alectio @AlectioInc]

4 common myths about Machine Learning that you need to be aware of! ⚠️

// a thread // #MachineLearning

[Alectio @AlectioInc]

Myth 3️⃣: Machine learning will take away all our jobs.

Truth -> ML may automate certain tasks and lead to changes in the job market, but it will not take away all jobs.

Within AI systems, there are tasks that are not cheaper or more efficient to automate with machines.

[Alectio @AlectioInc]

"The AI Wars are being fought with foundational models, but they will be won with training data."

~ @jlprendki

[Alectio @AlectioInc]

Me killing the training process knowing it won't improve further.

[Alectio @AlectioInc]

8️⃣ GPT-3 and Language Models ->

GPT-3 is a state-of-the-art language model that can generate human-like text.

[Alectio @AlectioInc]

8 Key Trends Shaping the Future of #MachineLearning and #AI 🤖

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[Alectio @AlectioInc]

7️⃣ Models that can achieve multiple objectives ->

ML models that can optimize for multiple objectives simultaneously.

[Alectio @AlectioInc]

What is the most important metric for evaluating an ML model's performance acc. to you?

[Alectio @AlectioInc]

8️⃣ BentoML - Open-source platform that helps you package your machine learning models as REST APIs and Docker containers.

9️⃣ Alectio - Uses active learning to improve model performance by requesting more specific types of labels for valuable data points in your dataset.

[Alectio @AlectioInc]

9 Best MLOps Tools for Efficient Model Deployment in 2023: 🤖

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[Alectio @AlectioInc]

6️⃣ KubeFlow Pipelines - Open-source platform that allows you to build and deploy portable ML pipelines on Kubernetes.

7️⃣ Seldon - Open-source platform that helps you deploy machine learning models on Kubernetes.