Frank Kane

Packt Expert

Frank Kane

Frank Kane is an expert in distributed computing, data mining, and machine learning, with 17 patents in these fields. He spent nine years at Amazon and IMDb developing recommendation technologies and later founded a company focused on virtual reality.

Categories
Data Engineering, Statistical Analysis and Predictive Modeling, Spark, Scala, Data Warehousing and Big Data Processing Frameworks, Amazon Web Services, Data Science, Supervised and Unsupervised Learning Techniques, Python, Elasticsearch, TensorFlow, Real-Time Data Processing and Stream Analytics, Data Mining, Extraction and Transformation, Hadoop

7 Courses by Frank Kane

Cover image for Apache Spark with Scala – Hands-On with Big Data!

Apache Spark with Scala – Hands-On with Big Data!

Dive right in with 20+ hands-on examples of analyzing large datasets with Apache Spark, on your desktop or on Hadoop!

Explore practical big data analysis using Apache Spark and Scala. Work through real coding examples to understand how to process and analyze large datasets both locally and in the cloud. Build confidence with hands-on projects that mirror real-world challenges.

Packt | 2016 | 535 min

Cover image for AWS Certified Data Analytics Specialty (2023) Hands-on

AWS Certified Data Analytics Specialty (2023) Hands-on

Prepare for the AWS DAS-C01 exam with the help of quizzes, exercises, and practice exams

Get ready to tackle the AWS Certified Data Analytics Specialty exam by working with real AWS tools and services. You will explore how to manage, analyze, and secure big data using Kinesis, EMR, DynamoDB, Redshift, and more. Practice with quizzes and exercises to build confidence for the certification.

Packt | 2019 | 993 min

Cover image for Building Recommender Systems with Machine Learning and AI

Building Recommender Systems with Machine Learning and AI

Get started with building intelligent recommender systems

Discover how to create intelligent recommendation systems using Python, machine learning, and AI. Explore practical techniques behind content suggestions like those on Netflix and YouTube, and learn to build your own models from scratch. Gain hands-on experience with real-world data and modern algorithms.

Packt | 2018 | 684 min

Cover image for Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

Learn how to use Elasticsearch 8 and implement it in your work within the next few days

Discover how to harness the power of Elasticsearch 8 and the Elastic Stack to search, analyze, and visualize large datasets efficiently. You will learn practical skills for managing data operations, building search indices, and working with real-time analytics. The content covers everything from setup to advanced operational tasks.

Packt | 2017 | 910 min

Cover image for Machine Learning, Data Science and Generative AI with Python

Machine Learning, Data Science and Generative AI with Python

Comprehensive tutorial on machine learning, data science, TensorFlow, AI, and neural networks

Explore the practical side of machine learning, data science, and generative AI using Python. You'll work with real-world tools and techniques, from building neural networks to scaling up with Apache Spark. Dive into hands-on projects that cover everything from data visualization to advanced AI models.

Packt | 2016 | 1091 min

Cover image for Streaming Big Data with Spark Streaming, Scala, and Spark 3!

Streaming Big Data with Spark Streaming, Scala, and Spark 3!

Learn to process massive streams of data in real-time on a cluster with Apache Spark Streaming

Explore how to handle massive streams of real-time data using Spark Streaming and Scala. You'll work with live Twitter feeds, simulated log streams, and data for machine learning, all while building practical skills for processing and analyzing streaming data on a cluster.

Packt | 2016 | 381 min

Cover image for The Ultimate Hands-On Hadoop

The Ultimate Hands-On Hadoop

Grasp the skills needed to design distributed systems to manage big data

Explore the power of Hadoop and its ecosystem as you learn to manage, store, and analyze big data using real-world datasets. Gain practical experience with distributed technologies like Spark, Flink, Pig, and Flume to solve real data challenges and scale your solutions.

Packt | 2017 | 879 min