Machine learning is responsible for a great deal of our tech advancements, from speech recognition to self-driving cars, smart homes and beyond.
This developing field of study explores the techniques used to give computers the ability to learn without being explicitly programmed, creating a new world of technological opportunities.
If breakthrough tech fascinates you, you can develop the skills required to deep-dive in an industry that’s on track to change the world with the 10-course instruction provided in the Complete Machine Learning Bundle, now available at a 94 per cent off from Pocket-lint Deals.
The Complete Machine Learning Bundle offers high-level learning through 10 comprehensive courses and 63 hours of training, putting you in command of an exciting field with high-value applicability everywhere from the startup world to Fortune 500 companies and beyond.
Develop your skills in Python programming and Python libraries for Machine Learning, utilizing Hadoop and MapReduce to process and manage enormous amounts of data efficiently. Build a fluid knowledge of Java and object-oriented programming, as well as Deep Learning and Rule-Based & Machine Learning-Based approaches to solving Sentiment Analysis problems and more.
Using Python libraries, you'll discover how to build sophisticated financial models that will help you invest more wisely.
- Quant Trading Using Machine Learning
- Learn By Example: Statistics and Data Science in R
- Learn By Example: Hadoop & MapReduce for Big Data Problems
- Byte Size Chunks: Java Object-Oriented Programming & Design
- An Introduction to Machine Learning & NLP in Python
- Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)
- Byte-Sized-Chunks: Decision Trees and Random Forests
- An Introduction To Deep Learning & Computer Vision
- Byte-Sized-Chunks: Recommendation Systems
- From 0 to 1: Learn Python Programming - Easy as Pie
Get in on the ground floor of a thrilling new field with The Complete Machine Learning Bundle, now available on Pocket-lint Deals for just £28.31 ($39.99).