Jon Skeet

Tomasz Lelek

Software Mistakes and Tradeoffs teaches you how to make better decisions about designing, planning, and implementing applications. In Software Mistakes and Tradeoffs you’ll learn from costly mistakes that Tomasz Lelek and Jon Skeet have encountered over their impressive careers. You’ll explore real-world scenarios where poor understanding of tradeoffs lead to major problems down the road, to help you make better design decisions. Plus, with a little practice, you’ll be able to avoid the pitfalls that trip up even the most experienced developers. Software Mistakes and Tradeoffs teaches you how to make better decisions about designing, planning, and implementing applications. You’ll analyze real-world scenarios where the wrong tradeoff decisions were made, and discover what could have been done differently. The book lays out the pros and cons of different approaches and explores evergreen patterns that will always be relevant to software design. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

How to make good programming decisions

Software Mistakes and Tradeoffs

"Spark lets you apply machine learning techniques to data in real time, giving users immediate machine-learning based insights based on what's happening right now. Using Spark, we can create machine learning models and programs that are distributed and much faster compared to standard machine learning toolkits such as R or Python. In this course, you'll learn how to use the Spark MLlib. You'll find out about the supervised and unsupervised ML algorithms. You'll build classifications models, extracting proper futures from text using Word2Vect to achieve this. Next, we'll build a Logistic Regression Model with Spark. Then we'll find clusters and correlations in our data using K-Means clustering. We'll learn how to validate models using cross-validation and area under the ROC measurement. You'll also build an effective Recommendation Model using distributed Spark algorithm. We will look at graph processing with GraphX library. By the end of the course, you'll be able to focus on leveraging Spark to create fast and efficient machine learning programs."--Resource description page.

Tomasz Lelek

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