Sid 🚀

@siddddhesh

🧑‍💻AI Engineer @IBM | ✍️ Tech Writer | Passionate about teaching & learning | Exploring AI, productivity, and writing 🌱 one insight at a time.

Content Creator

Dublin City, Ireland

linkedin.com/in/siddheshban…

5월 2016에 가입

6천게시물 2천팔로워 843팔로우 중

내가 좋아할 만한 콘텐츠

@ConnectBhawna

@Arindam_1729

@GrowInComm

@debasishbsws

@iam_Uchenna

@shubhstwt

@Aadish__Jain_

@Mrs0lver

@a_kraken_head

@techie_piyush

@swapnoneel123

@Priyankarpal

@chai_really

@imrandoestech

@AxelGarciaK

Sid 🚀

@siddddhesh

. 8. 16.

Agentic AI isn’t sci-fi, it’s here. Think: - Auto-ticket resolution - Self-healing infrastructure - Autonomous data enrichment The leap? Moving from reactive to proactive AI systems.

Sid 🚀

@siddddhesh

. 8. 15.

Some of my best AI projects weren’t just cod, they were collaboration Pairing with design, ops, and domain experts turned ‘good models’ into impactful products

Sid 🚀

@siddddhesh

. 8. 15.

Not all charts belong in Matplotlib. 📊 Plotly → interactive dashboards 📊 Seaborn → quick EDA visuals 📊 Altair → declarative charting Good visuals = better decisions

Sid 🚀

@siddddhesh

. 8. 15.

Slow Python code? Profile before you optimize import cProfile cProfile .run('my_function()') Guessing the bottleneck is slower than finding it

Sid 🚀

@siddddhesh

. 8. 14.

Data Scientists should learn systems design. Not to replace engineers, but to build AI that survives prod.

Sid 🚀

@siddddhesh

. 8. 14.

Writing tech blogs = explaining to your past self. - Keep intros short - Show working code early - Wrap with ‘next steps’ Your reader came for solutions, not suspense.

Sid 🚀

@siddddhesh

. 8. 14.

If your experiment isn't reproducible, it didn't happen. 💡 Use fixed random seeds 💡 Version control datasets 💡 Log env + library versions ML experiments = science, not art.

Feature engineering > fancy models. 90% of ML lift comes from: - Scaling numeric vars correctly - Encoding categories wisely - Creating domain-specific ratios The best Kaggle winners? Feature wizards. 🪄

Sid 🚀 님이 재게시함

Brett Erik

@_gardenofwords_

. 8. 9.

Follow these to upgrade your timeline: Markets: @QuasarMarkets Finance: @qmbigbeat Investing: @_parrotfinance PE: @Nick4Pillars Coaching: @WealthAthlete Attorney: @john_jacob Business: @theonenicka Mindset: @MattHunterCoach Leadership: @leadwithchad

Sid 🚀

@siddddhesh

. 8. 13.

LLMs are expensive Not just in $$: - Latency (affects UX) - Carbon footprint - Prompt engineering overhead Smaller + smarter models might beat ‘bigger’ in real-world apps.

Sid 🚀

@siddddhesh

. 8. 13.

Let’s do a Data Science challenge: Given a dataset with 1M rows + 50 cols, find the 3 fastest ways to calculate median of col X in Python. Post your code ⬇️

Sid 🚀

@siddddhesh

. 8. 12.

Data Scientists, your go-to notebook tool? 📊 1️⃣ JupyterLab 2️⃣ VSCode + Jupyter Ext 3️⃣ Deepnote 4️⃣ Other (comment below!)

Sid 🚀

@siddddhesh

. 8. 11.

Writing docs for developers? Think API-first: - Start with usage examples - Show common pitfalls - Keep sentences under 20 words Docs are a dev tool, not a novel

Sid 🚀 님이 재게시함

Jaydeep

@_jaydeepkarale

. 8. 11.

Kolhapur has triumphed Pune in terms of Ganapati idols

Sid 🚀

@siddddhesh

. 8. 11.

Reading Research papers ≠ skimming formulas Breakdown method: 1️⃣ Skim intro & abstract 2️⃣ Identify problem & baseline 3️⃣ Understand method section 4️⃣ Jump to results & limitations Turn 15 pages → 15 mins

Sid 🚀 님이 재게시함

DAIR.AI

@dair_ai

. 8. 10.

Top AI Papers of The Week (August 4-10): - CoAct-1 - ReaGAN - Agentic Web - Seed Diffusion - Efficient Agents - A Taxonomy of Hallucinations - Unified Retrieval Agent for AI Search Read on for more:

Sid 🚀

@siddddhesh

. 8. 11.

LLMs are moving from 'general chatbots' → domain-specialized copilots. Why? • Cost optimization • Accuracy in niche vocab • Easier eval metrics Enterprise AI in 2025 = smaller, smarter, task-focused models.

Sid 🚀

@siddddhesh

. 8. 10.

If you're not reading regularly, how can you expect to write well? You don't have to constantly be *writing* to improve. Reading is another form of practice; sort of like reviewing game tapes. You learn from studying others' approaches.