Computer Science

Attending a coding interview can be overwhelming, primarily if you are being assessed, one to one, on your technical capabilities. Dive into this book to explore techniques of cracking a programming interview. With 200 questions covering popular languages such as Python, Java, JavaScript, C, C#, C++, Ruby, SQL, PHP, HTML5, CSS3, Go, and Ruby you’ll have enough materials at your disposal to practice with and feel confident about any question that you might face in an interview.

Dive into the post and learn how to build an image recognition system in Keras on an optimized CPU. #machinelearning#ml#deeplearning#artificialintelligence#ai#python#coding#programming#developers

Master how to implement a multiple linear regression with Scikit-Learn in Python #artificialintelligence#statistics#machinelearning#deeplearning#python

The cloud computing landscape is big—thanks to the massive growth of public cloud services from companies such as Microsoft, Google, IBM, and Amazon, among others. Explore the the ins and outs of getting started with MLaaS, including major MLaaS players. #cloudcomputing#machinelearning#artificialintelligence#deeplearning

Learn how to visualize data with ggplot2 in python in this post. #artificialintelligence#bigdata#analytics#datavisualization#machinelearning#python

Machine learning models can only make sense if they are fed enough data. Learn how to perform feature selection for numerical input data for regression models. #artificialintelligence#bigdata#analytics#datavisualization#machinelearning#python#datascience

This article is meant to guide you on how to get optimized CPU-based hardware for Deep Learning with Python.

You want to become a self-taught Machine Learning Engineer and stamp your authority as the go-to engineer for voice recognition systems, self-driving cars, or chatbots and don't know where to start? Dive into this post to learn how to become a self-taught ML engineer in 6 simple steps.

Python language has come a long way ever since it was conceived in the 1990s. But one feature which has often been misunderstood—and yet very important—about Python is Garbage Collection. This book delves deeper into the latest Python Garbage Collector to provide you with a big picture view of how garbage collection is handled in Python, different algorithms used in modern commercial systems and how you can maximize the performance of Python applications.

Learn how to implement a simple ordinary least squares regression with Scikit-Learn in Python #artificialintelligence#statistics#machinelearning#deeplearning#python

Learn the essential probability and statistics skills in machine learning that you need to get started. #machinelearning#artificialintelligence#python#statistics#datasciences#bigdata#datanalytics

Dive into the post and learn how to build an image recognition system in Keras on an optimized CPU. #machinelearning#ml#deeplearning#artificialintelligence#ai#python#coding#programming#developers

What constitutes the basic prerequisites for a beginner in data analytics? Dive in to learn more. #datascience#dataanalytics#machinelearning#deeplearning#developers#artificialintelligence#python