Machine Learning is a subfield of computer science which gives computers the ability to learn without being explicitly programmed. It is concerned with construction of algorithms than can learn and make predictions from data.Source: HOB
As a data scientist sometime you have to learn those basic mathematics by heart to use or apply the techniques properly, other times you can just get by using an API or the out-of-box algorithm.Source: HOB
The aim of these notebooks is to help beginners/advanced beginners to grasp linear algebra concepts underlying deep learning and machine learning. Acquiring these skills can boost your ability to understand and apply various data science algorithms.Source: HOB
Having a career in Machine Learning can all be fancy and nice but once you come to the knowledge where you have to start with that is where it becomes intimidating. A few tough starts that comes with the technology is coming to know that the technology built on college-level math, jobs in the field typically ask for a Master's degree in a related technical field.Source: HOB
Deep learning is one of the hottest topics of this industry today. Deep Learning is evolving and it is top of the Data Science world. Deep Learning has led to amazing innovations, incredible breakthroughs, and we are only just getting started. A lot of people carry an impression that deep learning involves a lot of mathematics and statistical knowledge.Source: HOB
Machine learning and artificial intelligence are growing fields and growing topics of study. While the advanced implementations of machine learning we hear about in the news might sound scary and inaccessible, the core concepts are actually pretty easy to grasp. Here is the list of the most popular resources for machine learning beginners. Some of these books will require familiarity with some coding languages and math, but we'll be sure to mention it when that's the case.Source: HOB
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