{"title":"Michael Bowles","description":"\u003cp\u003eWelcome to the Michael Bowles collection, where technology enthusiasts and aspiring data scientists can explore the fascinating world of machine learning. Michael Bowles is a renowned author in the field of computing and technology, celebrated for his ability to demystify complex topics and make them accessible to a broader audience.\u003c\/p\u003e\n\n\u003cp\u003eAmong his notable works is \u003cem\u003eMachine Learning with Spark and Python\u003c\/em\u003e, a pivotal resource for anyone looking to harness the power of big data. In this book, Bowles expertly guides readers through the intricacies of machine learning, combining the capabilities of Apache Spark with Python to equip learners with practical skills.\u003c\/p\u003e\n\n\u003cp\u003eBowles' books stand out for their clear explanations and practical approach, making them ideal for both beginners and seasoned professionals in the tech world. With each page, he offers valuable insights into modern computing techniques, ensuring readers can apply their newfound knowledge effectively.\u003c\/p\u003e\n\n\u003cp\u003eWhether you are just starting your journey into the realm of machine learning or seeking to expand your technological expertise, the Michael Bowles collection is an essential addition to your library.\u003c\/p\u003e","products":[{"product_id":"machine-learning-with-spark-and-python-by-michael-bowles-9781119561934","title":"Machine Learning with Spark and Python","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003ci\u003eMachine Learning with Spark and Python: Essential Techniques for Predictive Analytics, Second Edition\u003c\/i\u003e simplifies machine learning for practical uses by focusing on two key algorithms. This new second edition is enhanced with the addition of Spark, a machine learning framework from the Apache foundation. By implementing Spark, machine learning students can easily process much larger data sets and call the Spark algorithms using ordinary Python code.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eMachine Learning with Spark and Python\u003c\/i\u003e focuses on two algorithm families—linear methods and ensemble methods—that effectively predict outcomes. This type of problem covers many use cases such as determining which ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The concentration on these two families allows for comprehensive descriptions of the mechanisms at work within the algorithms.\u003c\/p\u003e\n\n\u003cp\u003eThe accompanying code examples serve to illustrate the workings of the machinery with specific, hackable code, making the concepts accessible and applicable for students and professionals alike.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000678203628,"sku":"9781119561934","price":104.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9cac30f20ae63519989f8745ecad7f93.jpg?v=1773004797"}],"url":"https:\/\/bookhero.live\/collections\/michael-bowles.oembed","provider":"Book Hero","version":"1.0","type":"link"}