freeCodeCamp·4yHarvard CS50 – Free Computer Science University Course
Harvard CS50 is one of the most popular beginner computer science courses in the world. The course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web programming.
Community Picks·4ySoftware Engineer Interview: The Interview Study Guide For Software Engineers
Ben Rogojan created a checklist on his last round of interviews that covers many of the popular topics. To help you keep track of your progress, we've compiled a comprehensive checklist of the same problems listed below.
Pointer·4yyangshun/tech-interview-handbook: 💯 Curated coding interview preparation materials for busy software engineers
Over 500,000 people have benefitted from this handbook. Best practice questions for coding interviews - Grind 75 - the next evolution of Blind 75, bigger and better. How to prepare for coding interview best practices.
Community Picks·4yHow to be Better at Algorithms? | Examples for Beginners
The design of an algorithm depends on the complexity of the problem it needs to solve. Pointer Traversal or Pathfinding: when searching a graph or network, it’s important to use a proven search algorithm. Hash Table: Hash table algorithms are used for a variety of purposes, such as collision detection and pathfinding.
Pointer·3yChallenging algorithms and data structures every programmer should try
A list of interesting algorithms and data structures you should try: Jeff Erickson's Algorithms ( Amazon, web) or Daniel Zingaro's Algorithmmic Thinking ( Amazon) The most known unknown data structure is the Myers diff algorithm. Splay trees are binary trees that will tend to have the more recently accessed elements closer to the root.
Pointer·4yFast real-time compression algorithm
Zstandard is a fast lossless compression algorithm, targeting real-time compression scenarios at zlib-level and better compression ratios. It's backed by a very fast entropy stage, provided by Huff0 and FSE library. Zstandard's format is stable and documented in RFC8878. The more data-specific a dictionary is, the more efficient it is (there is no universal dictionary. For more information, please read CONTRIBUT.
KDnuggets·3y24 Best (and Free) Books To Understand Machine Learning
Machine Learning Engineer was voted one of the best jobs in the U.S. in 2019. We have compiled a list of best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field. There is no doubt that Machine Learning has become a popular topic nowadays.
PlanetScale·3yWhat is a query planner?
queries with lots of tables and lots of indexes can quickly run into the thousands and even millions of alternatives. Choosing the right indexes to use, and the right order to fetch data in, proves to be the difference between a 10ms and 5s query. The planner's job is to find the best possible query plan among all possibilities.
KDnuggets·4y15 Free Machine Learning and Deep Learning Books
If you’re looking to have a career in machine learning or a data scientist, below is a list of FREE e-books to help you achieve this. The list includes an Introduction to Machine Learning Interpretability by Patrick Hall and Navdeep Gill. If you have an interest in Natural Language Processing and you are proficient in Python - this book is for you.
Hacker News·4yLanguageTool
The European Union and the European Regional Development Fund (ERDF) support this project by providing funding. They support the development of error detection algorithms in multilingual texts, and thedevelopment of our browser add-ons and website. Supported by the Ministry of Social Affairs, Health, Integration, and Consumer Protection.
Medium·4yLearn any Algorithm and its implementation in any Programming Language
A good algorithm is efficient enough to solve a problem/task with minimum steps and time. In terms of coding, finding the right algorithm for your task is the most important and time-consuming step. Learn any algorithm and its implementation in any Programming Language.
freeCodeCamp·4yIntro to Algorithms with Python
Algorithms with Python Understanding algorithms in an important skill for many computer science jobs. We just published an introduction to algorithms with Python course on the freeCodeCamp.org YouTube channel. This course is ideal for new software developers, aspiring machine learning engineers, and students who've had difficulty understanding algorithms in the past.
MC++ Blog·4yThe Structure of Patterns
"Design Patterns: Elements of Reusable Object-Oriented Software Architecture" and "patterns" are the most influential books ever written about software development. Christopher Alexander uses the three adjectives useful, usable and used to describe the benefits of patterns. The strategy pattern is so baked in the design of the Standard Template Library that we may not see it.
MC++ Blog·3yThe Strategy Pattern
The Strategy Pattern is a behavioral design pattern from the book Design Patterns: Elements of Reusable Object-Oriented Software. It defines a family of algorithms and encapsulates them in objects. Use case - Different variations of an algorithm are needed - The algorithm should be exchangeable at the run time.
KDnuggets·3yThe Complete Machine Learning Study Roadmap
The Complete Machine Learning Study Roadmap shows what you need to do to start your Machine Learning journey. The field is a bit more specific than Data Science and Data Engineering which naturally include Machine Learning in the mix. Here are some resources that can help you get a more in-depth understanding of the field.
KDnuggets·4yGraphs: The natural way to understand data
Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Graphs reveal the relationships in your data. Tracking these connections reveals new insights and influences and lets you analyze each data point as part of a larger whole.
