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You want to become a thought leader in Machine Learning. What’s the first step?

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Machine learning (ML) is a rapidly evolving field that offers exciting opportunities and challenges for professionals who want to share their insights and expertise with others. Becoming a thought leader in ML requires more than just technical skills and knowledge. It also involves building your personal brand, creating valuable content, and engaging with your audience. In this article, we will explore the first step to becoming a thought leader in ML: defining your niche and value proposition.

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Ashutosh Kumar S.

DevOps Engineer @Kredifi | Ex - Teqfocus | Microsoft Certified: Az-900, Ai -900, Dp-900 | Oracle cloud infrastructure…
Nasih Jaseem

?? LinkedIn Top AI & ML Voice l Author & DevOps Expert | AWS & Azure

1 Find your niche

The first step to becoming a thought leader in ML is to find your niche. This means identifying the specific area or domain of ML that you are most passionate about, experienced in, and knowledgeable about. Your niche should be narrow enough to differentiate yourself from other experts, but broad enough to appeal to a sizable audience. For example, you could focus on ML applications for healthcare, finance, education, or social good. You could also specialize in a particular subfield of ML, such as natural language processing, computer vision, or reinforcement learning.

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Nasih Jaseem

?? LinkedIn Top AI & ML Voice l Author & DevOps Expert | AWS & Azure
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1. Identify your passion and expertise in a specific ML domain. 2. Choose a niche that sets you apart from others. 3. Ensure the niche has a broad appeal to attract an audience. 4. Consider ML applications in sectors like healthcare or finance. 5. Specialize in subfields such as NLP, computer vision, or reinforcement learning. 6. Assess the demand and impact potential of your chosen niche. 7. Stay updated with the latest developments in your niche. 8. Share unique insights and contributions in your area. 9. Build a portfolio of work showcasing your expertise. 10. Engage with the community through discussions, publications, and collaborations.

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2 Define your value proposition

Once you have found your niche, you need to define your value proposition. This means articulating what you can offer to your audience that is unique, relevant, and useful. Your value proposition should answer the question: why should someone follow you, read your content, or listen to your opinions? To define your value proposition, you need to consider your strengths, skills, and achievements in your niche. You also need to understand your audience’s needs, interests, and pain points. For example, your value proposition could be to provide practical tutorials, insightful analysis, or inspiring stories related to your niche.

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Nasih Jaseem

?? LinkedIn Top AI & ML Voice l Author & DevOps Expert | AWS & Azure
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1. Articulate what makes your offerings unique and valuable. 2. Highlight your strengths, skills, and achievements. 3. Understand your audience’s needs and interests. 4. Tailor your value proposition to address audience pain points. 5. Offer practical tutorials for hands-on learners. 6. Provide insightful analysis for deep thinkers. 7. Share inspiring stories for motivation and engagement. 8. Demonstrate how your content solves specific problems. 9. Showcase your unique perspective or methodology. 10. Communicate the benefits clearly and concisely to your audience.

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3 Create your personal brand

The next step to becoming a thought leader in ML is to create your personal brand. This means developing your identity, voice, and style as an expert in your niche. Your personal brand should reflect your personality, values, and goals. It should also be consistent, authentic, and professional. To create your personal brand, you need to choose a name, logo, bio, and platform for your online presence. You also need to establish your tone, format, and frequency for your content. For example, you could create a blog, podcast, YouTube channel, or social media account for your personal brand.

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4 Produce valuable content

The fourth step to becoming a thought leader in ML is to produce valuable content. This means creating and sharing original, relevant, and useful information that showcases your expertise and value proposition in your niche. Your content should aim to educate, inform, entertain, or inspire your audience. It should also be engaging, clear, and accurate. To produce valuable content, you need to research your topics, plan your structure, write your script, and edit your work. You also need to use appropriate tools, formats, and media for your content. For example, you could use Python , R , or TensorFlow for your code examples, Markdown , HTML , or LaTeX for your text formatting, and Canva , PowerPoint , or Camtasia for your graphics and videos.

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Ashutosh Kumar S.

DevOps Engineer @Kredifi | Ex - Teqfocus | Microsoft Certified: Az-900, Ai -900, Dp-900 | Oracle cloud infrastructure certified fundamental 2022 | Aviatrix certified DevOps cloud engineer |
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To establish as an ML thought leader, create valuable content showcasing expertise. Research topics thoroughly, plan structure, write, and edit meticulously. Utilize appropriate tools like Python, R, or TensorFlow for code examples, Markdown, HTML, or LaTeX for text formatting, and Canva, PowerPoint, or Camtasia for graphics and videos. Aim to educate, inform, entertain, or inspire audience, ensuring engagement, clarity, and accuracy.

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5 Engage with your audience

The final step to becoming a thought leader in ML is to engage with your audience. This means interacting and communicating with your followers, readers, or listeners. Your engagement should aim to build trust, rapport, and loyalty with your audience. It should also be responsive, respectful, and constructive. To engage with your audience, you need to invite feedback, comments, and questions. You also need to answer, acknowledge, and thank your audience. For example, you could use Twitter , LinkedIn , or Medium for your social media engagement, Google Forms , SurveyMonkey , or Typeform for your surveys and polls, and Zoom , Skype , or Discord for your live sessions and webinars.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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You want to become a thought leader in Machine Learning. What’s the first step?

1

2

3

4

5

6

1 Find your niche

2 Define your value proposition

3 Create your personal brand

4 Produce valuable content

5 Engage with your audience

6 Here’s what else to consider

Machine Learning

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You want to become a thought leader in Machine Learning. What’s the first step?

1

2

3

4

5

6

1 Find your niche

2 Define your value proposition

3 Create your personal brand

4 Produce valuable content

5 Engage with your audience

6 Here’s what else to consider

Machine Learning

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