Why do I need to learn about applied machine learning?

Machine learning has solved many important difficult problems recently. A few of them include speech recognition, speech synthesis, image recognition, autonomous driving and chat bots.
Nowadays a key skill of software developer is the ability to use machine learning algorithms solve real-world problems.

What can I do after finishing learning about applied machine learning ?

You will be to create software that could recognize speech, recognize a face, translate text to speech, translate a sentence from English to French, answer a customer’s question.

That sounds useful! What should I do now?

Please attend this free Machine Learning (Coursera) course and audit this Applied Machine Learning in Python (Coursera) course first.

At the same time, please read
– this Aurelien Geron (2019). Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow. O’Reilly Media book and
– this Brett Lantz (2019). Machine Learning with R – Expert Techniques for Predictive Modeling. Packt Publishing book.

After that please audit these Deep Learning Specialization courses.
At the same time, please read
– this Francois Chollet (2021). Deep Learning with Python. Manning Publications book and
– this Michael Nielsen (2015). Neural Networks and Deep Learning. Determination Press book.

After that please read this Christopher M. Bishop (2006). Pattern Recognition and Machine Learning. Springer book.

After finishing reading these books please click Topic 21 – Introduction to Applied Computer Vision and Natural Language Processing to continue.