What is a really good book for Java and data structure, as a beginner?

What is the better way to experience​ and learn algorithms?

What are the best applications of machine learning algorithms in long-term trend predictions?

How can I plot the specific heat capacity as a function of temperature, in an MC simulation?

How do services like Wibbitz work? What kind of NLP algorithms are they using to analyze text?

What is the formula to calculate all compositions of number n, with exactly k parts and length of parts doesn’t exceed l?

How do you improve SEO ranking as per the Fred algorithm?

Are mobile GPUs powerful enough to run deep learning algorithms meaningfully, or should things still be done in the server and sent to phones?

How much do we know about internal workings of deep learning algorithms that were used in image classification datasets like ImageNet or Pascal VOC?

What’s the best road to be excellent in algorithms? Are there any resources or anything?

Does a software implementation of the quantum PageRank algorithm exist?

I need to identify groups of users sharing similar interests including time availability. What’s the best Machine Learning algorithm for this purpose?

What is the objectives of learning data structure?

How does a routing algorithm work in Amazon?

Is it necessary to implement ML algorithms from scratch (like SVM)?

What areanalysis for the increase and decrease algorithms for congestion avoidance in computer networks?

Do the algorithms that send us stories in our feeds contribute to a problem with only seeing one side of an issue?

Why does an integer factorisation’s algorithm take exponential time to solve?

How do I prepare for product-based companies while working on a service-based company?

What is a simplistic explanation of a GINI impurity for a given node?