Sponsored Content From November 6 (07:00 PST) to 20 (07:00 PST), 365 Data Science offers free unlimited access to its entire curriculum, featuring interactive courses, hands-on data projects, and certificates of achievement. This opportunity allows for in-depth data science and AI exploration—presenting a no-cost method to enhance one’s skills and knowledge. Enhancing Careers […]
Search results for "Data Science Development Programming"
How to Become a Data Scientist
How do you become a data scientist? I think that really depends on where you are now and what you really want to do as a data scientist. Nevertheless, DataCamp posted an infographic recently that described 8 easy steps to becoming a data scientist. In this post I want to highlight and review DataCamp’s infographic. […]
Techniques to Write Better Python Code
We write a program to solve a problem or make a tool that we can repeatedly solve a similar problem. For the latter, it is inevitable that we come back to revisit the program we wrote, or someone else is reusing the program we write. There is also a chance that we will encounter data […]
Exploring the Python Ecosystem
Python is a neat programming language because its syntax is simple, clear, and concise. But Python would not be so successful without its rich third-party libraries. Python is so famous for data science and machine learning that it has become a de facto lingua franca just because we have so many libraries for those tasks. […]
A Gentle Introduction to Unit Testing in Python
Unit testing is a method for testing software that looks at the smallest testable pieces of code, called units, which are tested for correct operation. By doing unit testing, we can verify that each part of the code, including helper functions that may not be exposed to the user, works correctly and as intended. The […]
Ensemble Learning Algorithms With Python
Ensemble Learning Algorithms With Python Make Better Predictions with Bagging, Boosting, and Stacking …so What is Ensemble Learning? Ensemble learning algorithms combine the predictions of two or more models. The idea of ensemble learning is closely related to the idea of the “wisdom of crowds“. This is where many different independent decisions, choices or estimates […]
A Gentle Introduction to Computer Vision
Computer Vision, often abbreviated as CV, is defined as a field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos. The problem of computer vision appears simple because it is trivially solved by people, even very young children. Nevertheless, it largely […]
Python Environment for Time Series Forecasting
The Python ecosystem is growing and may become the dominant platform for applied machine learning. The primary rationale for adopting Python for time series forecasting is because it is a general-purpose programming language that you can use both for R&D and in production. In this post, you will discover the Python ecosystem for time series […]
The Machine Learning Mastery Method
5-Steps To Get Started and Get Good at Machine Learning I teach a 5-step process that you can use to get your start in applied machine learning. It is unconventional. The traditional way to teach machine learning is bottom-up. Start with the theory and math, then algorithm implementations, then send you off to figure out […]
What You Know About Deep Learning Is A Lie
Getting started in deep learning is a struggle. It’s a struggle because deep learning is taught by academics, for academics. If you’re a developer (or practitioner), you’re different. You want results. The way practitioners learn new technologies is by developing prototypes that deliver value quickly. This is a top-down approach to learning, but it is not the way […]