avatarMirko Peters


This blog post explores strategies for learning new things in the field of data science and AI projects while managing a full-time job.

Expert Guide

Learning Artificial Intelligence and Machine Learning from Scratch

Building the Learning Muscle

Learning is a lifelong process that requires dedication, discipline, and focus. It is not something that can be rushed or achieved overnight. Just like building a muscle, learning requires consistent effort and practice. In this blog post, we will explore various strategies and habits to help you become a better learner and strengthen your learning muscle.

Avoid rushing through the day and take time to focus on learning.

In today’s fast-paced world, it is easy to get caught up in the daily hustle and rush through our tasks without taking the time to truly absorb new information. However, in order to effectively learn and retain knowledge, it is important to slow down and give your full attention to the task at hand. Avoid multitasking and allocate dedicated time for learning in your daily schedule.

Wake up early to have dedicated time for learning.

One of the most effective ways to create dedicated learning time is to wake up early and focus on AI projects. By starting your day before everyone else, you can have uninterrupted quiet time to focus on learning. Use this time to read, study, or engage in any activity that helps you acquire new knowledge. Waking up early not only provides you with a calm and peaceful environment but also sets a positive tone for the rest of the day.

Practice meditation to improve focus and concentration.

Another powerful tool for building your learning muscle is meditation. Meditation helps improve focus, concentration, and mental clarity. By practicing meditation regularly, you can train your mind to stay present and fully engage in the learning process. Set aside a few minutes each day for meditation, and observe how it enhances your ability to absorb information and retain knowledge.

Consume long-form content to dive deep into topics.

In today’s era of tweets and bite-sized information, it is easy to fall into the trap of consuming only short and shallow content. However, if you truly want to master AI and expand your knowledge, it is essential to dive deep into AI models and AI projects. Long-form content such as books, research papers, and in-depth articles provide a comprehensive understanding of subjects. Make it a habit to consume long-form content regularly and take the time to reflect on what you have learned.

Develop reading habits to expand knowledge.

Reading is a fundamental skill that plays a crucial role in the learning process. It not only helps expand your vocabulary but also exposes you to new AI models, perspectives, and information. Make reading a daily habit by setting aside dedicated time for it. Choose books, articles, and other reading materials that align with your interests or help you explore new topics. Remember, reading is not just about the quantity of books you go through but the quality of knowledge you gain from them.

Spend time with nature to rejuvenate and enhance learning abilities.

Nature has a profound impact on our overall well-being and cognitive abilities. Spending time in nature can rejuvenate our mind, reduce stress, and enhance our learning abilities. Take regular breaks from your learning routine and go for a walk in the park, hike in the mountains, or simply sit by a lake. Disconnect from technology and immerse yourself in the beauty of the natural world. You will come back refreshed, re-energized, and ready to absorb new information.

Building the learning muscle requires time, effort, and consistency. By avoiding rushing through the day, waking up early, practicing meditation, consuming long-form content, developing reading habits, and spending time with nature, you can enhance your learning abilities and become a more effective learner. Incorporate these strategies into your daily routine and watch your learning muscle grow stronger with each passing day.

Filtering Content

When it comes to consuming content, it’s crucial to filter through the vast amount of information available to us. Not all content is created equal, and it’s important to consider its authority, relevance, quality, marketing tactics, and biases. Additionally, choosing the right format for engaging with the content can enhance our learning experience.

Consider the authority of the source before consuming content.

With the rise of the internet, anyone can publish content, making it necessary to assess the authority of the source. Not all sources are equally reliable or trustworthy, so it’s essential to evaluate who is behind the content. Some questions to ask include:

  • Is the author an expert or well-known in the field of AI applications?
  • Does the website have a strong reputation for AI algorithms?
  • Are there any biases or conflicts of interest?

By considering the authority of the source, we can make more informed decisions about the content we consume.

Check the date of creation to ensure relevance.

Information can quickly become outdated, especially in rapidly evolving fields. It’s crucial to check the date of creation of the content to ensure its relevance. While some topics like AI algorithms have timeless information, others especially AI applications may require the latest updates.

For example, if you’re researching new technology trends, it’s essential to filter out older articles that may no longer be accurate. By prioritizing recent content, you can stay up-to-date and make more relevant decisions.

Read reviews to gauge the quality of the content.

Reading reviews can provide valuable insights into the quality of the content. Other people’s opinions and experiences can help us assess whether the content is reliable and helpful. Look for reviews from trusted sources or individuals with expertise in the subject matter.

While reviews should not be the sole basis for judging content, they can give us an idea of what to expect and whether it aligns with our needs and expectations.

Be aware of marketing tactics and biases.

Content creators often employ marketing tactics to attract attention and promote their own products or ideologies. It’s important to be aware of these tactics and recognize any potential biases that may influence the content.

Some common marketing tactics to watch out for include:

  • Clickbait headlines
  • Overhyped claims
  • Sponsored content

By understanding these tactics, we can approach the content with a more critical mindset and make informed judgments.

Choose preferred format based on personal learning style.

People have different ways of learning and engaging with content. Some prefer visual formats like videos or infographics, while others prefer audio formats or reading text. By understanding our personal learning styles, we can choose the format that best suits our needs and preferences.

For example, learners interested in a career in AI may benefit from watching educational videos about AI from scratch, while auditory learners may prefer podcasts or audiobooks about AI models. It’s important to recognize what works best for us and ensure the content is presented in our preferred format.

In conclusion, filtering content is essential for consuming reliable and relevant information. By considering the authority of the source, checking the date of creation, reading reviews, being aware of marketing tactics and biases, and choosing a preferred format, we can make more informed decisions and enhance our learning experience.

Defining the Process of Learning

Learning is a lifelong journey, and having a clear process in place can greatly enhance our ability to acquire new skills and knowledge effectively. By defining the process of learning, we can establish a structured approach that helps us stay focused, organized, and motivated. In this blog post, we will explore five key steps to define and implement an effective learning process.

Create a time-bound plan to allocate dedicated learning time.

Time management plays a crucial role in the learning process. It is essential to create a time-bound plan that provides dedicated learning time. By setting aside specific periods for learning AI from scratch, we can prioritize our AI education and ensure consistent progress.

One effective approach is to establish a daily or weekly schedule that includes dedicated learning blocks. During these periods, eliminate distractions and focus solely on your learning goals. Incorporate both shorter and longer learning sessions to optimize retention and prevent burnout.

Set specific targets to focus on desired skills or topics.

Defining clear targets is fundamental to effective learning. By setting specific goals, we give our learning process direction and purpose. Start by identifying the skills or topics you want to learn and break them down into manageable targets.

For example, if you want to become proficient in a programming language, your targets could include mastering the syntax, understanding core concepts, and building small projects. By breaking down your overall learning goal into specific targets, you can measure progress and celebrate milestones along the way.

Define the ‘definition of done’ for each learning goal.

To ensure clarity and avoid ambiguity, it is essential to define the ‘definition of done’ for each learning goal. This means clearly outlining what it means to achieve a particular target. By establishing clear criteria for success, we can determine when we have accomplished our learning objectives.

For example, if your learning goal is to develop proficiency in a foreign language, the ‘definition of done’ could include being able to hold a conversation with a native speaker, understanding written text without extensive translation, and successfully passing an intermediate-level language exam.

Break down complex topics into manageable chunks.

Complex topics can be overwhelming, especially when starting the learning journey. To make the process more manageable and less intimidating, it is important to break down complex topics into smaller, more digestible chunks.

Start by identifying the main components or sub-topics within a complex subject. Then, create a learning plan that sequentially addresses each component. This approach allows you to build a solid foundation, gradually increasing the complexity of your learning as you progress.

Track progress and adjust the learning process accordingly.

In any learning journey, it is vital to monitor and track progress. By measuring our achievements, we can gain insights into our strengths and weaknesses, enabling us to adapt our learning process for optimal results.

There are various methods to track progress, such as keeping a learning journal, using online platforms or applications, or seeking feedback from mentors or teachers. Whatever method you choose, regularly evaluate your progress and adjust your learning process if necessary.

For example, if you notice that you are struggling with a particular topic like reinforcement learning, you can allocate additional time and resources to address it. Conversely, if you find that you have achieved a target faster than anticipated, you can challenge yourself with more advanced material.

In conclusion, defining the process of learning is a powerful tool that can enhance our ability to acquire new skills and knowledge effectively. By creating a time-bound plan, setting specific targets, defining the ‘definition of done,’ breaking down complex topics, and tracking progress, we establish a structured and efficient learning process. Embrace these steps, and embark on your learning journey with clarity, focus, and confidence.

Importance of Time Management

Time management plays a crucial role in our lives, especially when it comes to balancing learning and job responsibilities. Efficiently managing our time allows us to make the most of it, ensuring that we dedicate enough time to both work and learning. In this blog post, we will explore the significance of time management and provide practical tips on how to effectively manage your time.

Efficiently manage time to balance learning and job responsibilities

One of the key benefits of time management is the ability to balance learning and job responsibilities effectively. Many of us have jobs or other commitments that take up a significant portion of our day, leaving limited time for learning and personal growth. By managing our time efficiently, we can ensure that we allocate sufficient time for both work and learning.

Prioritize learning tasks based on importance and urgency

Another crucial aspect of time management is the ability to prioritize learning tasks based on their importance and urgency. Not all learning tasks are created equal, and it’s essential to identify and focus on those that will have the most significant impact on your personal or professional development. By prioritizing tasks, you can ensure that you tackle the most crucial ones first, making the best use of your time.

Eliminate time-wasting activities to create more learning opportunities

Time-wasting activities can significantly hinder our ability to dedicate time to learning, especially if we are trying to learn AI from scratch. From mindlessly scrolling through social media to indulging in excessive TV watching, these activities can eat up precious hours that could be better spent on learning. By identifying and eliminating these time-wasting activities, we can create more learning opportunities for ourselves.

Utilize time-saving techniques like multitasking or batching similar tasks

Time-saving techniques such as multitasking or batching similar tasks can help us make the most of our limited time, especially when learning AI models. Multitasking involves simultaneously working on multiple tasks, while batching involves grouping similar tasks together and completing them in one go. By utilizing these techniques, we can optimize our productivity and accomplish more within the same amount of time.

Find a learning routine that fits well with the daily schedule

Establishing a consistent learning routine is essential for effectively managing time. By finding a learning routine that fits well with your daily schedule, you can ensure that you allocate dedicated time for learning regularly. Whether it’s waking up early to study, dedicating a specific hour each day for learning, or finding pockets of time throughout the day, having a routine will help make learning a consistent part of your life.


What is Artificial Intelligence (AI)?

Artificial intelligence (AI) from scratch refers to the simulation of human intelligence in machines that are programmed to think and act like humans. It involves the study and development of computer systems that can perform tasks that typically require human intelligence.

How is AI related to Machine Learning and Deep Learning?

AI encompasses a broad range of technologies, and Mastering AI involves grasping machine learning and understanding reinforcement learning. is a subset of AI that focuses on the development of algorithms and models that enable machines to learn from and make decisions based on data. Deep learning is a subset of machine learning That uses neural networks and AI algorithms to simulate human decision-making.

What is the significance of learning AI and Machine Learning?

Learning AI and machine learning is crucial in today’s digital age as these technologies are transforming various industries. They enable organizations to leverage data for insights, automate processes, and make predictions that drive better decision-making.

How can I start learning AI and Machine Learning?

To start learning AI and machine learning, you can begin by gaining a foundational understanding of programming languages such as Python, as well as concepts like data science and machine learning algorithms. There are many resources available, including online courses, to help you get started.

What are the potential career paths for AI and Machine Learning professionals?

Professionals with expertise in AI and machine learning can pursue careers as machine learning engineers, data scientists, or AI professionals. Additionally, these skills are in high demand across various industries, offering diverse career opportunities.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, while Machine Learning (ML) is a subset of AI that focuses on enabling machines to learn from data and improve their performance over time.

How can I learn artificial intelligence from scratch?

You can start by learning the basics of AI, including its history, applications, and fundamental concepts. Then, you can progress to studying machine learning algorithms, data science, and AI tools. There are numerous online resources, courses, and tutorials available to help you on your AI learning journey.

What are some essential AI tools for businesses?

Businesses can benefit from using AI tools such as natural language processing, predictive analytics, and image recognition to improve customer service, make data-driven decisions, and automate repetitive tasks.

Is Python important for learning AI and machine learning?

Yes, Python is widely used in the field of AI and machine learning due to its simplicity, versatility, and extensive libraries for data manipulation, analysis, and machine learning models.

What are some popular machine learning projects for beginners?

Beginners can start with projects involving supervised learning algorithms, such as predicting house prices or classifying images, to gain hands-on experience and understanding of machine learning concepts.

What is the career outlook for AI and machine learning professionals?

The demand for AI and machine learning engineers, data scientists, and AI specialists is rapidly growing across various industries, offering promising career opportunities for those with the right skills and expertise.

How can I apply machine learning in real-world scenarios?

You can apply machine learning to solve real-world problems such as recommendation systems, fraud detection, autonomous vehicles, and medical diagnostics by understanding the data, building and training ML models, and evaluating their performance.

Last Words

Time management is crucial for balancing learning and job responsibilities. Efficiently managing time allows us to allocate sufficient time for both work and learning. Prioritizing learning tasks based on importance and urgency helps us make the most of our time. Eliminating time-wasting activities creates more learning opportunities. Utilizing time-saving techniques like multitasking or batching similar tasks optimizes productivity. Finding a learning routine that fits well with the daily schedule ensures consistent learning.

Artificial Intelligence
Machine Learning
Learning To Code
Recommended from ReadMedium