An Introduction to Machine Learning & NLP in Python
An Introduction to Machine Learning & NLP in Python
Have you been through self-driving vehicles? Or speech recognition technologies?
These technologies are the result of machine learning that understands our communication through Natural Language Processing (NLP). These two subjects of Artificial intelligence (AI) in computer science are based on pattern recognition as well as outcome predictions.
What is in this course?
Stanford-educated, Silicon Valley experts teach this introductory course machine learning and NLP in python language for decades, as this domain is the direct experience of their serving in computer science.
At stackskills, they will instruct you in the very simplest ways to help you get familiar with advanced technologies. They will teach you this course through visual as well as practical techniques so you can put them into action in everyday scenarios. Even if you lack in programming, their skills delivering manner will level up your completely logical skillset.
This course will cover:
- A basic introduction to machine learning and NLP.
- A Practical experience in everyday markets such as e-commerce, analytics, and quant trading.
- Help you understand the complex phenomenon in the animation world.
- Provide you with considerable source codes along with necessary comments so you can implement them easily, through machine learning and NLP on text processing. For text processing in python, this course will help you in text classification, summarization, and more.
- On top of all, you will find the exciting learning environment
Prerequisites to this course
Good news for you! You do not need any pre-requisite knowledge to be enrolled in this course. This course is wholesome itself. Through, it requires undergraduate-level mathematics, but again it is not mandatory.
Moreover, you may interact with the python environment for your ease or we will cover it, too.
Why should you enroll this course?
Stanford-educated, ex-Googler and an IIT, IIM is going to teach this course. The team of instructors is an educated ex-Flipkart lead analyst having practical experience for decades in analytics and e-commerce and quant trading.
This machine learning and NLP course is down-to-earth, humble but assured on machine learning and NLP techniques that every learner can put to accomplish today!
Let us parse this machine learning and NLP course here:
Machine Learning and NLP Course: Down-to-earth
This course will make things possible for you; of course, complexity is not going anywhere. We will teach you to deal with complex scenarios.
Machine Learning and NLP Course: Humble but Assured
This course is authoritative as experts who have been in this field for decades design it. At the same time, this course is humble enough to cut down unnecessarily complicating stuff.
Machine Learning and NLP Course: Everyday consequences
For instance, if machine learning is a vehicle and you are driving this vehicle until now. It will not let you know what carburetor is this vehicle is using.
Machine Learning and NLP Course: Visual Aspects
This course is not providing you with practical implementations but also it covers visual aspects. In this course, all the machine-learning techniques are explained through animations.
Machine Learning and NLP Course: Practical Implementation
The course is encapsulated in tens of hundreds of source code lines along with comments that learners can directly copy in their files and execute them to learn the workability of ML and NLP techniques. These techniques include Modeling, imagery training, NLP swish, Mirroring and Incantations, text classification, and summarization.
Machine Learning and NLP Course: Completely Quirky
The course is designed with enormous examples. It has many little touches and variations of various strategies such as zoom in/out, cognition and recall, recursions, and more. To help learners understand the big picture of the background process of ML techniques, we have set plenty of assessment tasks and quizzes consisting of peppy soundtrack and arts, and more.
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