Machine Learning, Data Science and Deep Learning with Python
Frank Kane
  • Course duration: 12h 59m
Machine Learning, Data Science and Deep Learning with Python covers machine learning, Tensorflow, artificial intelligence, and neural networks—all skills that are in demand from the biggest tech employers. Filled with examples using accessible Python code you can experiment with, this complete hands-on data science tutorial teaches you techniques used by real data scientists and prepares you for a move into this hot career path.


Distributed by Manning Publications

This course was created independently by big data expert Frank Kane and is distributed by Manning through our exclusive liveVideo platform.

About the subject

Skills like machine learning and data science are in high demand. Data scientists are among the highest paid technology professionals, with an average salary of $120,000 according to Glassdoor and Indeed. Easy to learn and simple to use, Python has become the language of choice for most data scientists. This popular language is driving powerful new developments in the field, such as deep learning, and is the perfect choice for data mining, AI, and other analysis techniques prized by businesses and employers.

About the video

Machine Learning, Data Science and Deep Learning with Python teaches you the techniques used by real data scientists and machine learning practitioners in the tech industry, and prepares you for a move into this hot career path. Expert instructor Frank Kane draws on 9 years of experience at Amazon and IMDb to guide you through what matters in data science. The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech companies. You’ll cover data science skills employers are looking for, including data visualization in Python with MatPlotLib and Seaborn, transfer learning, sentiment analysis, and experimental design and A/B Tests. Each concept is introduced in plain English, and demonstrated using Python code you can experiment with and build upon. If you're new to Python, don't worry—the course starts with a crash course. When you’re done, you’ll be primed to switch into an exciting new data science career track in the tech industry!

Prerequisites

For viewers with basic coding or scripting skills, interested in moving into data science in the tech industry.

What you will learn

  • Build artificial neural networks with Tensorflow and Keras
  • Make predictions using linear regression, polynomial regression, and multivariate regression
  • Implement machine learning at massive scale with Apache Spark's MLLib
  • Build a movie recommender system using item-based and user-based collaborative filtering
  • Classify images, data, and sentiments using deep learning

About the instructor

Frank Kane holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. He spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to millions of customers every day. Sundog Software, his own company specializing in virtual reality environment technology and teaching others about big data analysis, is his pride and joy.

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