Addicted to Tech

Data Science v/s Artificial Intelligence v/s Machine Learning v/s Deep Learning What is Data Science? Let’s break the term into its composite parts – data and science.  Science works fundamentally through the formulation of hypotheses – educated guesses that seek to explain how something works and then finding enough reasonable evidence through observations in the real world to either prove the hypothesis right, or falsify it. Data, on the other hand, refers simply to numbers and statistics which we gather for the sake of analysis. By combining these two, we get data science. What exactly does it mean? Data science is an umbrella term for all techniques and methods that we use to analyze massive amounts of data with the purpose of extracting knowledge from them. Example of Data Science: Let’s say you are crazy about Cricket, which I am sure you are, and there is an ongoing series between India and Australia. India loses the first two matche...

Learning Path for Deep Learning in 2019 Here is a high-level overview of the core concepts you should and master in the deep learning sphere: Getting Started:  Deep learning is a vast field made up of several components. So to kick off your learning journey, it is recommended to start from the ground up. The first month will be all about understanding what deep learning means, covering basic descriptive statistics and probability concepts, and learning Python! Machine Learning Basics:  The logical next step in our learning path takes you into the world of machine learning. This includes techniques like linear regression, logistic regression, and regularization methods. Deep learning cannot be truly grasped until you know the core concepts of linear algebra and calculus, so complement your skill-set with an introduction to matrices, vectors and derivatives. Introduction to Deep Learning and Keras:  This is what you’ve been waiting for! March is ...