Updated US salary deep dive for your 2022 career decisions and interests

Table of Contents

  1. Introduction
  2. Machine Learning Engineer (ML Engineer)
  3. Software Engineer
  4. Summary
  5. References

Introduction

The goal of this article is to show some differences and similarities between two roles that are sometimes a little related, and at other times, very related. You can use this information to decide which role to pursue, for entertainment…

Updated US salary deep dive for your 2022 career decisions and interests

Table of Contents

  1. Introduction
  2. Software Engineer
  3. Data Scientist
  4. Summary
  5. References

Introduction

The goal of this article is to show the differences and similarities between two popular tech roles. This information can be helpful for determining which role you would like to pursue. It can also be interesting to clear up some assumptions between these…

Opinion

…that can help you for 2022

Table of Contents

  1. Introduction
  2. AB Testing is Only About Significance
  3. Only Looking at Model Error & Accuracy
  4. You Won’t Use SQL
  5. Summary
  6. References

Introduction

Data scientists have a lot of expectations from companies as well as expectations for the role itself. There are things we expect that turn into misconceptions of the position itself…

Opinion

…and their main benefits for Data Scientists

Table of Contents

  1. Introduction
  2. CatBoost
  3. DeepAR Forecasting
  4. PyCaret
  5. Summary
  6. References

Introduction

New algorithms are difficult to come by and 2022 is likely going to be no exception. However, there are still a few machine learning algorithms and python libraries that will be more popular moving forward. The reason these stand out from the rest…

Opinion

Kaggle datasets for practicing data science and machine learning algorithms

Table of Contents

  1. Introduction
  2. TOP 50 Cryptocurrencies Historical Prices
  3. Top 10 Cryptocurrencies Historical Dataset
  4. Historical data on the trading of cryptocurrencies
  5. Summary
  6. References

Introduction

The purpose of this article is to discuss information around three datasets regarding cryptocurrency, so that you can practice data science with a more relevant topic and its data. Of…

Opinion

To help you to decide on your career

Table of Contents

  1. Introduction
  2. Product Stakeholder Collaboration
  3. Preference for Python over SQL
  4. Experimentation Oriented
  5. Summary
  6. References

Introduction

The long story short, is that of course, I prefer to be a data scientist over a data engineer, but why? Perhaps these reasons I will share from my personal experience can relate to what you are…

Opinion

… along with use-case examples for easier stakeholder collaboration

Table of Contents

  1. Introduction
  2. Bucketed Unit Ranges
  3. Change in Impact
  4. Summary
  5. References

Introduction

While there are a ton of data science or specific algorithm metrics like MAE and RMSE that are useful to know, there are other metrics that can mean more to stakeholders and your business as a whole. It is often not…

Tutorial for beta version - easily perform forecasting

Table of Contents

  1. Introduction
  2. Setting Up, Comparing, Tuning, and Blending Models
  3. Productionalize Model
  4. Summary
  5. References

Introduction

To be frank, even though it seems simple, time-series algorithms are usually difficult to deal with. PyCaret [2] alleviates a lot of monotonous and confusing work by automating the setup and comparison of models processes of time series…

Opinion

Showcase your skills strategically to draw employers’ attention

Table of Contents

  1. Introduction
  2. LSTM
  3. XGBoost
  4. CatBoost
  5. Summary
  6. References

Introduction

There are several machine learning algorithms that you can either study in academia or employ in the workplace, but some might be more useful than others to practice and apply. It can ultimately depend on a few factors, like the problem you are solving…

Matt Przybyla

Sr/MS Data Scientist. Top Writer in Artificial Intelligence, Technology, & Education. Towards Data Science. Subscribe: https://datascience2.medium.com/subscribe

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