SQL is a very important skill. You not only can access the relational databases but also big data using Hive, Spark-SQL etcetera. Learning SQL could help you excel in various roles such as Business Analytics, Web Developer, Mobile Developer, Data Engineer, Data Scientist, and Data Analyst. Therefore having access to SQL client is very important … Continue reading “How to access databases using Jupyter Notebook”
When you are building a production system whether it’s a machine learning model deployment or simple data cleaning, you would need to run multiple steps with multiple different tools and you would want to trigger some processes periodically. This is not possible to do it manually more than once. Therefore, you need a workflow manager … Continue reading “Getting Started with Apache Airflow”
In the Hadoop ecosystem, Apache Zookeeper plays an important role in coordination amongst distributed resources. Apart from being an important component of Hadoop, it is also a very good concept to learn for a system design interview. If you would prefer the videos with hands-on, feel free to jump in here. Alright, so let’s get … Continue reading “Introduction to Apache Zookeeper”
Introduction There are many Big Data Solution stacks. The first and most powerful stack is Apache Hadoop and Spark together. While Hadoop provides storage for structured and unstructured data, Spark provides the computational capability on top of Hadoop.
As of today, the hottest jobs in the industry are around AI, Machine Learning and Deep Learning. Let me try to outline the learning path for you in machine learning for the job profiles such as Data Scientist, Machine Learning Engineer, AI Engineer or ML Researcher. AI basically means Artificial Intelligence – Making machines behave … Continue reading “Your learning path in AI, Machine Learning and Deep Learning”
Malcolm X once said, “Education is our passport to the future”. This has become more relevant than ever in the last year. The COVID-19 pandemic gave a big jolt to the economy and the existing strata of professions across the world. Many succumbed to the pandemic by losing their jobs and facing extensive pay cuts. … Continue reading “Online Courses Free of Cost during #NoPayJan”
Introduction It is a well-known fact that deep learning models are heavy; with a lot of weights for the deep layers. And it is obviously an overhead to load the model every time we need to get the predictions from the model. Thus this is costly in terms of the time of execution. In this … Continue reading “Improving the Performance of Deep-Learning based Flask App with ZMQ”
If you are interested in Machine Learning or Deep Learning, but struggling to decide which book to use to study the same, here is a list of the best books in these fields. What makes this list even better is that some of these books are available online, for free! So go through the list, … Continue reading “A Gigantic List of must-have Machine Learning Books”
Backpropagation is considered one of the core algorithms in Machine Learning. It is mainly used in training the neural network. And backpropagation is basically gradient descent. What if we tell you that understanding and implementing it is not that hard? Anyone who knows basic Mathematics and has knowledge of the basics of Python Language can … Continue reading “Coding Backpropagation and Gradient Descent From Scratch without using any libraries”
Recently, I came up with an idea for a new Optimizer (an algorithm for training neural network). In theory, it looked great but when I implemented it and tested it, it didn’t turn out to be good. Some of my learning are: Neural Networks are hard to predict. Figuring out how to customize TensorFlow is … Continue reading “Writing Custom Optimizer in TensorFlow Keras API”
