There are 2 courses
I am new to AI and ML. Which one should i start first ?
Hi @Gauravpalvia,
Both courses are excellent choices for someone new to AI and ML, but the best one for you to start with depends on your specific interests and career goals. Here’s a brief overview of each course to help you make a decision:
- Become a Data Scientist - Learn Interactively:
- This course is designed to teach you the fundamentals of data science, including statistics, data manipulation, machine learning, and data visualization.
- It covers essential topics such as Python programming, pandas, NumPy, scikit-learn, and Matplotlib.
- Ideal for individuals interested in working with large datasets, deriving insights from data, and building predictive models.
- Become a Machine Learning Engineer - Learn Interactively:
- This course focuses specifically on machine learning techniques and their application in real-world scenarios.
- It covers topics such as supervised learning, unsupervised learning, deep learning, reinforcement learning, and neural networks.
- Ideal for individuals interested in building and deploying machine learning models, working on projects involving pattern recognition, and developing AI-powered systems.
If you’re unsure which path to choose, you might want to consider your long-term career aspirations. If you’re more interested in working with data, exploring patterns, and making predictions, you might lean towards the Data Scientist path. On the other hand, if you’re fascinated by the idea of building intelligent systems, developing algorithms, and working on cutting-edge technologies, the Machine Learning Engineer path might be more appealing.
Ultimately, there’s no right or wrong choice here, as both fields offer exciting opportunities and overlap in many areas. You might even find that you’re interested in both and decide to pursue both paths simultaneously or sequentially.