EDITOR'S SUMMARY%A basic requirement for linked data is that records include structured and clear data about topics of interest or searched Things, formatted in ways that allow linking to other data. While linke
The popular TIOBE index ranks Python as the number one programming language due to its popularity and rapid growth, especially in the field of AI. ❷ The Choice of Innovators: Top AI-driven companies like OpenAI, Tesla, and Zoom use Python to develop cutting-edge technologies. Its easy...
Book: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition ⬜ Book: A Machine Learning Primer ✅ Book: Grokking Machine Learning ✅ Book: The StatQuest Illustrated Guide To Machine Learning ✅ Datacamp: Ensemble Methods in Python ✅ Datacamp: Extreme Gradient Boo...
This was one of the first things learned. We were introduced to this guy which is like a rock star when it comes to the world of data, churn modeling to be more precise. And hearing that sentence was probably when the first myth I had had about data science got destroyed. You can re...
Highly opinionated 💣. Not backed by science. Comes in no particular order ♻️ U like it? ⭐ it andsharewith a friendly developer! U don't like it?Watch the doggo🐶 P.S. Youdon't need to knowall of that by heart to be a programmer. But knowing the stuff will help you ...
2. Present your Terraform developer resume like a story Because a tale usually piques the interest of the audience, including it in your CV will be quite beneficial to you. The stories are appealing, intriguing, and keep the audience captivated to the screen. As a result, including a story...
Strong programming skills in Python (with libraries like scikit-learn, TensorFlow, PyTorch). Expertise in data manipulation and analysis using SQL and BigQuery. Experience with Google Cloud Platform (GCP) and Vertex AI. Knowledge of statistical modeling and machine learning algorithms. Excellent problem...
In this training, learn to how to use these managed platforms to create solutions in a fraction of the time as a “roll your own" ML solution. Additionally, learn to compare how each cloud managed solution compares and be able to pick the right solution for the task at ha...
4. Learn how your favorite models actually work We're living in an age where any data scientist with a little Python know-how can use a library like Scikit-Learn to predict the future, but few can describe what's actually happening under the hood. Guess what? Clients and customers are ...
Lesson:You must learn about the entire data science life cycle and find what works best for you and get good at it. 2. You must Understand Statistics and Machine Learning Algorithms Even after several years of working as a Data Scientist, I am constantly learning about new types of algorithm...