ace the coding interview with Python and JavaScript

Become proficient in deriving insights from time-series data and analyzing a model's performanceKey Features: Explore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time-series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description: Machine learning has emerged as a powerful tool to understand hidden complexities in time-series datasets, which frequently need to be analyzed in areas as diverse as healthcare, economics, digital marketing, and social sciences. These datasets are essential for forecasting and predicting outcomes or for detecting anomalies to support informed decision making.This book covers Python basics for time-series and builds your understanding of traditional autoregressive models as well as modern non-parametric models. You will become confident with

Discover how to use the LEGO SPIKE Prime kit and boost your confidence in robotics, coding, and engineeringKey Features: Get up and running with new parts not seen in previous LEGO kitsGain deeper insights into non-compatible sensors and components that work with all prior LEGO components and third-party elementsExplore new features and experiment with new robot builds with LEGO's new coding platformBook Description: The new LEGO SPIKE Prime is one of the latest additions to the LEGO robotics line of products. This book will help you to enjoy building robots and understand how exciting robotics can be in terms of design, coding, and the expression of ideas.The book begins by taking you through a new realm of playful learning experiences designed for inventors and creators of any age. In each chapter, you'll find out how to build a creative robot, learn to bring the robot to life through code, and finally work with exercises to test what you've learned and remix the robot to suit your o

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept