Gilbert E.
Behzad
Machine Learning Education
Joshua Gordon, Develop Advocate at Google
Steven Barnard
This platform was designed to teach you what you need for the real-world. You'll learn theory but only in conjunction with skills employers are looking for.
You’ll learn the vernacular, gain the skills employers are looking for and learn everything you need to know in order to gain your first role as a machine learning engineer.
You’ll learn Python, statistics, deep learning with Keras, SQL, XGBoost, algorithms and much more. This won’t be an easy path. The amount of information you’ll need to learn and ingest is voluminous but you are up to task.
Python has become the gold standard in the applied space for building machine learning models. This platform is all Python.
The majority of the job of a machine learning engineer is data preparation. You’ll learn in-depth data wrangling skills.
At logikBot, you'll learn applied statistics for machine learning. The platform will focus on the knowledge of statistics you need for your machine learning projects.
Data Visualization is the presentation of data in graphical format. It helps people understand the significance of data.
Traditional models are widely used in the applied space. You'll learn how to use gradient boosters on structured data.
Deep learning models excel at image recognition, speech recognition and natural langue processing.
The AI Hierarchy
The Certified Data Analyst Path
Dropping Out Layers
John Thomas
The best hands-on class I’ve ever taken.
It helped me learn the basics of python and how it could be applied in Machine Learning and ANNs. Amazing course with clear explanations.
You’ve changed my understanding about data science.
Only Available on LogikBot
All Courses
Harikirtan Worlu
That depends on your experience and knowledge. If you are in a career working with SQL then you are ahead of the game. If not, then a 4-6 year time line from scratch is common.
There are no refunds once the membership starts; however, you are free to end your membership at any time.
Yes. You'll have immediate access to the entire library from day one. This includes all the course for machine learning, data engineering and data analysis.
Yes. Some of the courses are the same. The overlap will be minimal and all of the advanced courses will reside on this platform.
Yes. I'll walk you through the courses you need to take and in what order I recommend you take them.
Sure. However, I don't recommend it. The skills and knowledge build from previous courses.
Yes. I'm confident you'll want to stay a member for a long time. However, you could become a member for a month or two, take the course you want and leave.
Yes. I'll ask for your feedback throughout the curriculum to see what I areas you'd like me to expand upon.
Tony Sutherland
Ed Markowitz