Data Scientists: Have you picked the right target for that marketing campaign? Use your company’s mission statement to prevent optimizing models to local goals at the expense of the overall company goals.
You can develop the most amazing machine learning model in the world. It can optimize to the target, your results presentations look great, and your business partners are thrilled. Then four months later, someone suddenly pulls the plug on the program. You’re stunned. What happened? The goal the business team set had a negative impact on overall company goals. Your reputation takes a hit, your performance goals bomb, and you kiss your year-end bonus goodbye. I will present one way you can help prevent this from happening.
Our business partners define a goal:
All of those seem like reasonable goals. Each is easily measurable. What’s the problem?
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.
This post will help you in finding different websites where you can easily get free Datasets to practice and develop projects in Data Science and Machine Learning.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
What is Machine Learning? Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed. [Arthur Samuel, 1959 ]