How to start Machine Learning: A Beginner’s Roadmap

📰 Medium · Deep Learning

Get started with machine learning using a beginner's roadmap, covering key concepts and skills to kickstart your journey

beginner Published 17 Jun 2026
Action Steps
  1. Read introductory machine learning articles to understand the basics
  2. Explore popular machine learning libraries like scikit-learn and TensorFlow
  3. Practice building simple models using datasets from Kaggle or UCI Machine Learning Repository
  4. Take online courses or tutorials to learn key concepts like supervised and unsupervised learning
  5. Join online communities like Kaggle or Reddit's r/MachineLearning to connect with other learners
Who Needs to Know This

Data scientists, software engineers, and analysts can benefit from understanding machine learning fundamentals to apply them in their projects and improve decision-making

Key Insight

💡 Starting with machine learning requires a solid understanding of the basics, including key concepts and popular libraries

Share This
💡 Kickstart your machine learning journey with a beginner's roadmap! #MachineLearning #AI

Full Article

Machine learning has transformed the way we interact with technology. From personalized recommendations on streaming platforms to… Continue reading on Medium »
Read full article → ← Back to Reads

Related Videos

Dropout in Deep Learning
Dropout in Deep Learning
AnuTech-CH
Reinforcement Learning : Agent, Environment, Action, Reward, Policy Simply Explained
Reinforcement Learning : Agent, Environment, Action, Reward, Policy Simply Explained
codehubgenius
6 AI Chips Explained | CPU vs GPU vs TPU vs NPU
6 AI Chips Explained | CPU vs GPU vs TPU vs NPU
Rakesh Gohel
1. Overview of Artificial Intelligence | What is AI? Fundamental Concepts  & Complete History of AI
1. Overview of Artificial Intelligence | What is AI? Fundamental Concepts & Complete History of AI
Professor Rahul Jain
2. Artificial Intelligence (AI) Explained | AI Problems, AI Techniques & Real-World Applications
2. Artificial Intelligence (AI) Explained | AI Problems, AI Techniques & Real-World Applications
Professor Rahul Jain
4. Problem Formulation in AI | Production Systems, Control Strategies & Problem Characteristics
4. Problem Formulation in AI | Production Systems, Control Strategies & Problem Characteristics
Professor Rahul Jain