Basics of ML & DL

 NEWBIE TO ML & DL

“Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years.”

 ~Mark Cuban

On 28th sept,2020 there was a workshop held on ML & DL by REGEX software service for 7 days.They are devised to bring an extra edge to Information Technology by believing tranforming imagination into reality by providing quality services & working on several technologies like BIG DATA, Machine Learning, Artificial Intelligence, Data Science, Python, Cloud Computing, Linux, Devops & many more based on Industry 4.0 standards.

 In the pandemic learning new topics is the best time to utilise. Before learning ML & DL deeply brief basics were explained.

“Predicting the future isn’t magic, it’s artificial intelligence.” ~Dave Waters.

 AI (Artificial Intelligence) is a quality of machine that helps machine to do discussed task, which are like little babies, as they learn more & more and explore world to become general problem solvers which we call "Artificial curiosity"  or "Power Plane".

The 5 qualities that are implemented in machines are :-

• Estimation / Prediction
• Classification
•  Grouping /  Clustering
• Recommendation
• Making Decisions

AI has a different Domain has :-

1. Machine Learning
2. Statistics 
3. Optimization Techniques

• “Machine learning will automate jobs that most people thought could only be done by people.” ~Dave Waters.

• ML(Machine Learning) is one way of doing AI by Designing a code or program that teach computers stuff over time by interacting with the environment.

Types of Machine Learning:-

• Supervised Learning

 It is a type of machine learning algorithm, Where input is given to make machine learn by analyzing output.  It is when a model learns from a labeled dataset with guidance.

• Unsupervised Learning

It is a type of machine learning algorithm used to draw inferences from datasets consisting of input data without labeled responses. It is where the machine is given training based on unlabeled data without any guidance.

• Reinforcement Learning 

It is a type of machine learning algorithm which allows software agents and machines to automatically determine the ideal behavior within a specific context, to maximize its performance, and in reinforcement we call machine has a AGENT.

“Deep learning will revolutionize supply chain automation.”-Dave Waters.

Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers.

sources:-

• Dave wave quotes

• ML& DL

• Tedx

• Images

“Identify your weaknesses and innovate to make them a strength.”~Dave Waters