by Giuseppe Bonaccorso | Released February 2018 | ISBN: 9781789138894

Build a strong foundation to enter the world of Machine Learning and data science with the help of this comprehensive guideAbout This VideoGet started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guideYour one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementationGet a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guideIn DetailAs the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine Learning applications are everywhere, from self-driving cars to spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge.In this course, you'll be introduced to the Natural Processing Language and Recommendation Systems, which help you run multiple algorithms simultaneously. Also, you'll learn about Deep learning and TensorFlow. Finally, you'll see how to create an Ml architecture. Show and hide more

1. Chapter 1 : Introduction to Natural Language Processing
   • The Corse Overview 00:03:20
   • NLTK and Built-In Corpora 00:03:29
   • The Bag-Of-Words Strategy 00:15:33
   • A Sample Text Classifier 00:03:03
2. Chapter 2 : Topic Modeling and Sentiment Analysis in NLP
   • Latent Semantic Analysis 00:07:36
   • Probabilistic Latent Semantic Analysis 00:05:58
   • Latent Dirichlet Allocation 00:09:54
3. Chapter 3 : Introduction to Deep Learning and TensorFlow
   • Deep Learning at a Glance 00:10:41
   • Introduction to TensorFlow 00:16:38
   • A Quick Glimpse Inside Keras 00:07:36
4. Chapter 4 : Creating a Machine Learning Architecture
   • Machine Learning Architecture 00:09:46
   • Scikit-learn Tools for Machine Learning Architectures 00:08:02
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